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1. An ancient truncated duplication of the anti‐Müllerian hormone receptor type 2 gene is a potential conserved master sex determinant in the Pangasiidae catfish family

Author: Ming Wen, Qiaowei Pan, Elodie Jouanno, Jerome Montfort, Margot Zahm, Cédric Cabau, Christophe Klopp, Carole Iampietro, Céline Roques, Olivier Bouchez, Adrien Castinel, Cécile Donnadieu, Hugues Parrinello, Charles Poncet, Elodie Belmonte, Véronique Gautier, Jean-Christophe Avarre, Remi Dugue, Rudhy Gustiano, Trần Thị Thúy Hà, Marc Campet, Kednapat Sriphairoj, Josiane Ribolli, Fernanda L. de Almeida, Thomas Desvignes, John H. Postlethwait, Christabel Floi Bucao, Marc Robinson-Rechavi, Julien Bobe, Amaury Herpin, Yann Guiguen, Hunan Normal University (HNU), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Lausanne = University of Lausanne (UNIL), Plateforme Bio-Informatique - Génotoul, Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-BioInfOmics, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Research Institute of Freshwater Fisheries (CRIFI-RIFF), Research Institute for Aquaculture, Neovia Asia, Kasetsart University (KU), Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), Embrapa Amazônia Ocidental, Partenaires INRAE, University of Oregon [Eugene], Swiss Institute of Bioinformatics [Lausanne] (SIB), Swiss Institute of Bioinformatics [Genève] (SIB), National Institutes of Health : R01 OD011116, National Institutes of Health: R35 GM139635, ANR-13-ISV7-0005,PhyloSex,Evolution des déterminants majeurs du sexe chez les poissons.(2013), ANR-16-CE12-0035,GenoFish,Evolution des génes et des génomes après duplication compléte(2016), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), MING WEN, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, QIAOWEI PAN, INRAE, LPGP, ELODIE JOUANNO, INRAE, LPGP, JEROME MONTFORT, INRAE, LPGP, MARGOT ZAHM, Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRAE, CÉDRIC CABAU, SIGENAE, GenPhySE, Université de Toulouse, INRAE, CHRISTOPHE KLOPP, SIGENAE, CAROLE IAMPIETRO, INRAE, CÉLINE ROQUES, INRAE, OLIVIER BOUCHEZ, INRAE, ADRIEN CASTINEL, INRAE, CÉCILE DONNADIEU, INRAE, HUGUES PARRINELLO, Montpellier GenomiX, CHARLES PONCET, GDEC Gentyane, INRAE, Université Clermont Auvergne, ELODIE BELMONTE, GDEC Gentyane, INRAE, Université Clermont Auvergne, VÉRONIQUE GAUTIER, GDEC Gentyane, INRAE, Université Clermont Auvergne, JEAN-CHRISTOPHE AVARRE, ISEM, CNRS, IRD, Univ Montpellier, REMI DUGUE, ISEM, CNRS, IRD, Univ Montpellier, RUDHY GUSTIANO, Research Institute of Freshwater Fisheries (CRIFI-RIFF), TRÂN THI THÚY HÀ, Research Institute for Aquaculture, MARC CAMPET, Neovia Asia, KEDNAPAT SRIPHAIROJ, Faculty of Natural Resources and Agro-Industry, JOSIANE RIBOLLI, Laboratório de Biologia e Cultivo de Peixes de Água Doce, Universidade Federal de Santa Catarina, FERNANDA LOUREIRO ALMEIDA OSULLIVAN, CPAA, THOMAS DESVIGNES, Institute of Neuroscience, University of Oregon, JOHN H. POSTLETHWAIT, Institute of Neuroscience, University of Oregon, CHRISTABEL FLOI BUCAO, Department of Ecology and Evolution, University of Lausanne, MARC ROBINSON-RECHAVI, Department of Ecology and Evolution, University of Lausanne, JULIEN BOBE, INRAE, LPGP, AMAURY HERPIN, INRAE, LPGP, and YANN GUIGUEN, INRAE, LPGP.
Subjects: Male, Male genome assembly, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, Receptors, Peptide, Animals, Catfishes/genetics, Phylogeny, Receptors, Peptide/genetics, Receptors, Transforming Growth Factor beta/genetics, Y Chromosome/genetics, amhr2, evolution, male genome assembly, pangasiid catfishes, sex determination, Evolution, Pangasiid catfishes, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, Sex determination, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Peixe-gato, Y Chromosome, Genetics, Hormônio, Receptors, Transforming Growth Factor beta, Catfishes, Ecology, Evolution, Behavior and Systematics, Biotechnology
Abstract: The evolution of sex determination (SD) mechanisms in teleost fishes is amazingly dynamic, as reflected by the variety of different master sex-determining genes identified, even sometimes among closely related species. Pangasiids are a group of economically important catfishes in many South-Asian countries, but little is known about their sex determination system. Here, we generated novel genomic resources for 12 Pangasiid species and provided a first characterization of their SD system. Based on an Oxford Nanopore long-read chromosome-scale high quality genome assembly of the striped catfish Pangasianodon hypophthalmus, we identified a duplication of the anti-Müllerian hormone receptor type II gene (amhr2), which was further characterized as being sex-linked in males and expressed only in testicular samples. These first results point to a male-specific duplication on the Y chromosome (amhr2by) of the autosomal amhr2a. Sequence annotation revealed that the P. hypophthalmus Amhr2by is truncated in its N-terminal domain, lacking the cysteine-rich extracellular part of the receptor that is crucial for ligand binding, suggesting a potential route for its neofunctionalization. Short-read genome sequencing and reference-guided assembly of 11 additional Pangasiid species, along with sex-linkage studies, revealed that this truncated amhr2by duplication is also conserved as a male-specific gene in many Pangasiids. Reconstructions of the amhr2 phylogeny suggested that amhr2by arose from an ancient duplication / insertion event at the root of the Siluroidei radiation that is dated around 100 million years ago. Altogether these results bring multiple lines of evidence supporting that amhr2by is an ancient and conserved master sex-determining gene in Pangasiid catfishes, a finding that highlights the recurrent usage of the transforming growth factor β pathway in teleost sex determination and brings another empirical case towards the understanding of the dynamics or stability of sex determination systems.
Published: 2022

2. Impacts of Mycoplasma agalactiae restriction-modification systems on pan-epigenome dynamics and genome plasticity

Author: Eveline Sagné, Eric Baranowski, Contarin R, Emilie Dordet-Frisoni, Christophe Klopp, Christine Citti, Vandecasteele C, Nouvel X, Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), This work was performed in collaboration with the GeT core facility, Toulouse, France (http://get.genotoul.fr/), supported by France Génomique National infrastructure, and funded as part of the ‘Investissement d’avenir’ programme managed by Agence Nationale pour la Recherche (contract ANR-10-INBS-0009) and by the GET-PACBIO programme (« Programme operationnel FEDER-FSE MIDI-PYRENEES ET GARONNE 2014–2020 »). We are grateful to the Genotoul bioinformatics platform Toulouse Midi-Pyrenees, France, and the Sigenae group for providing support and storage resources., ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), Baranowski, Eric, and Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID
Subjects: Genetics, Genome evolution, DNA methylation, ved/biology, Mycoplasma agalactiae, ved/biology.organism_classification_rank.species, epigenome, restriction-modification system, Epigenome, General Medicine, Biology, methylome, Genome, [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, DNA shuffling, Restriction enzyme, Mycoplasma, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], horizontal gene transfer, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Gene
Abstract: DNA methylations play an important role in the biology of bacteria. Often associated with restriction modification (RM) systems, they are important drivers of bacterial evolution interfering in horizontal gene transfer events by providing a defence against foreign DNA invasion or by favouring genetic transfer through production of recombinogenic DNA ends. Little is known regarding the methylome of the Mycoplasma genus, which encompasses several pathogenic species with small genomes. Here, genome-wide detection of DNA methylations was conducted using single molecule real-time (SMRT) and bisulphite sequencing in several strains of Mycoplasma agalactiae , an important ruminant pathogen and a model organism. Combined with whole-genome analysis, this allowed the identification of 19 methylated motifs associated with three orphan methyltransferases (MTases) and eight RM systems. All systems had a homolog in at least one phylogenetically distinct Mycoplasma spp. Our study also revealed that several superimposed genetic events may participate in the M. agalactiae dynamic epigenomic landscape. These included (i) DNA shuffling and frameshift mutations that affect the MTase and restriction endonuclease content of a clonal population and (ii) gene duplication, erosion, and horizontal transfer that modulate MTase and RM repertoires of the species. Some of these systems were experimentally shown to play a major role in mycoplasma conjugative, horizontal DNA transfer. While the versatility of DNA methylation may contribute to regulating essential biological functions at cell and population levels, RM systems may be key in mycoplasma genome evolution and adaptation by controlling horizontal gene transfers.
Published: 2022

3. Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation

Author: Gaulin, Elodie, Pel, Michiel, Camborde, Laurent, San Clemente, Hélène, Courbier, Sarah, Dupouy, Marie-Alexane, Lengellé, Julie, Veyssière, Marine, Le Ru, Aurélie, Grandjean, Frédéric, Cordaux, Richard, Moumen, Bouziane, Gilbert, Clément, Cano, Liliana, Aury, Jean-Marc, Guy, Julie, Wincker, Patrick, Bouchez, Olivier, Klopp, Christophe, Dumas, Bernard, Laboratoire de Recherche en Sciences Végétales (LRSV), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Surfaces Cellulaires et Signalisation chez les Végétaux (SCSV), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Plateforme Imagerie Microscopie, Fédération de Recherche FR3450, Ecologie, Evolution, Symbiose (EES), Ecologie et biologie des interactions (EBI), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), The Sainsbury Laboratory (TSL), Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Génétique Cellulaire (LGC), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de la Recherche Agronomique (INRA), HEC Paris - Recherche - Hors Laboratoire, Ecole des Hautes Etudes Commerciales (HEC Paris), Interactions Microbiennes dans la Rhizosphère et les Racines, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Utrecht University [Utrecht], Évolution, génomes, comportement et écologie (EGCE), Centre National de la Recherche Scientifique (CNRS)-IRD-Université Paris-Sud - Paris 11 (UP11), The Sainsbury Laboratory [Norwich] (TSL), University of Florida [Gainesville] (UF), Université de Toulouse, INRA, CNRS, Castanet-Tolosan, Sigenae, Projet IBISA-Genoscope APHANO-GP: AP09/10-n°19 ANR-12-JSV6-0004-01, Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Plateforme TRI FR-AIB, Fédération de Recherche Agrobiosciences, Interactions et Biodiversité (FR AIB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Toulouse Réseau Imagerie-Genotoul ( TRI-Genotoul), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Génome et Transcriptome - Plateforme Génomique (GeT-PlaGe), Institut National de la Recherche Agronomique (INRA)-Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-12-JSV6-0004,APHANO-Effect,Analyse génomique d'une nouvelle famille d'effecteurs d'oomycètes transloqués dans les cellules végétales: rôle dans l'adaptation à l'hôte et la pathogénie chez le parasite racinaire de légumineuses Aphanomyces euteiches(2012), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Laboratoire Evolution, Génomes, Comportement, Ecologie, CNRS/Université Paris-Sud UMR9191, IRD UMR247, Université Paris-Sud - Paris 11 (UP11), and University of Florida [Gainesville]
Subjects: Aphanomyces, Oomycete, Effector, Secretome, Host adaptation, SSP, POTATO FAMINE PATHOGEN, DIFFERENTIAL EXPRESSION ANALYSIS, FILAMENTOUS PLANT-PATHOGENS, CRAYFISH PLAGUE PATHOGEN, MEDICAGO-TRUNCATULA, PARTIAL RESISTANCE, ROOT-ROT, PHYTOPHTHORA-CAPSICI, IMMUNE-RESPONSE, UNITED-STATES, Acclimatization, [SDV]Life Sciences [q-bio], Animals, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, lcsh:QH301-705.5, ComputingMilieux_MISCELLANEOUS, Plant Diseases, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, fungi, food and beverages, Genomics, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, lcsh:Biology (General), Oomycetes, Research Article
Abstract: Background Oomycetes are a group of filamentous eukaryotic microorganisms that have colonized all terrestrial and oceanic ecosystems, and they include prominent plant pathogens. The Aphanomyces genus is unique in its ability to infect both plant and animal species, and as such exemplifies oomycete versatility in adapting to different hosts and environments. Dissecting the underpinnings of oomycete diversity provides insights into their specificity and pathogenic mechanisms. Results By carrying out genomic analyses of the plant pathogen A. euteiches and the crustacean pathogen A. astaci, we show that host specialization is correlated with specialized secretomes that are adapted to the deconstruction of the plant cell wall in A. euteiches and protein degradation in A. astaci. The A. euteiches genome is characterized by a large repertoire of small secreted protein (SSP)-encoding genes that are highly induced during plant infection, and are not detected in other oomycetes. Functional analysis revealed an SSP from A. euteiches containing a predicted nuclear-localization signal which shuttles to the plant nucleus and increases plant susceptibility to infection. Conclusion Collectively, our results show that Aphanomyces host adaptation is associated with evolution of specialized secretomes and identify SSPs as a new class of putative oomycete effectors. Electronic supplementary material The online version of this article (10.1186/s12915-018-0508-5) contains supplementary material, which is available to authorized users.
Published: 2018

4. The richer the better: 16S metabarcoding analysis of gut microbiota oflaying hens in relation to feed efficiency and adaptation to diet change: 16S metabarcoding analysis of gut microbiota of laying hens in relation to feed efficiency and adaptation to diet change

Author: Bernard, Maria, Lecoeur, Alexandre, Coville, Jean-Luc, Bruneau, Nicolas, Jardet, Deborah, Lagarrigue, S., Troegeler-Meynadier, Annabelle, Calenge, Fanny, Pascal, Géraldine, Zerjal, Tatiana, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Rowett Institute, University of Aberdeen, INRAE Clermont Auvergne Rhône Alpes Centre, ANR-13-ADAP-0014,ChickStress,Mécanismes d'adaptation à la chaleur et à un aliment suboptimal chez la poule pondeuse(2013), and European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015)
Subjects: [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [SDV.BA]Life Sciences [q-bio]/Animal biology, [SDV]Life Sciences [q-bio], [SDV.BID]Life Sciences [q-bio]/Biodiversity
Abstract: International audience
Published: 2023

5. RNAspace.org: An integrated environment for the prediction, annotation, and analysis of ncRNA

Author: Hélène Touzet, Daniel Gautheret, Christine Gaspin, Benjamin Grenier-Boley, Marie-Josée Cros, Jérôme Mariette, Antoine de Monte, Philippe Bardou, Touzet, Helene, Gaspin, Christine, Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) [UBIA], Laboratoire d'Informatique Fondamentale de Lille [LIFL], Système d'Information des GENomes des Animaux d'Elevage [SIGENAE], Institut de génétique et microbiologie [Orsay] [IGM], Unité de Biométrie et Intelligence Artificielle (UBIA), Institut National de la Recherche Agronomique (INRA), Bioinformatics and Sequence Analysis (BONSAI), Laboratoire d'Informatique Fondamentale de Lille (LIFL), Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)-Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), This work was supported by the French 'Groupement d'Intérêt Scientifique Infrastructure, Biologie, Santé Agronomie.', Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS), This work was supported by the French 'Groupement d'Interet Scientifique Infrastructure, Biologie, Sante Agronomie.', and Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA)
Subjects: inorganic chemicals, RNA, Untranslated, Bioinformatics, Annotation, Bacterial genome size, Computational biology, Biology, complex mixtures, Genome, Noncoding RNA, DNA sequencing, 03 medical and health sciences, noncoding RNA, prediction, annotation, biochemistry, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, bioinformatique, Molecular Biology, Gene, 030304 developmental biology, Genetics, Internet, 0303 health sciences, bioinformatic, Base Sequence, fungi, 030302 biochemistry & molecular biology, molecular biology, Genome project, equipment and supplies, Non-coding RNA, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, ComputingMethodologies_PATTERNRECOGNITION, Eukaryotic chromosome fine structure, bacteria, Nucleic Acid Conformation, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Databases, Nucleic Acid, Prediction, Software
Abstract: The annotation of noncoding RNA genes remains a major bottleneck in genome sequencing projects. Most genome sequences released today still come with sets of tRNAs and rRNAs as the only annotated RNA elements, ignoring hundreds of other RNA families. We have developed a web environment that is dedicated to noncoding RNA (ncRNA) prediction, annotation, and analysis and allows users to run a variety of tools in an integrated and flexible manner. This environment offers complementary ncRNA gene finders and a set of tools for the comparison, visualization, editing, and export of ncRNA candidates. Predictions can be filtered according to a large set of characteristics. Based on this environment, we created a public website located at http://RNAspace.org. It accepts genomic sequences up to 5 Mb, which permits for an online annotation of a complete bacterial genome or a small eukaryotic chromosome. The project is hosted as a Source Forge project (http://rnaspace.sourceforge.net/).
Published: 2011

6. A single base pair duplication inSLC33A1gene causes fetal losses and neonatal lethality in Manech Tête Rousse dairy sheep

Author: Maxime Ben Braiek, Soline Szymczak, Céline André, Philippe Bardou, Francis Fidelle, Itsasne Granado-Tajada, Florence Plisson-Petit, Julien Sarry, Florent Woloszyn, Carole Moreno-Romieux, Stéphane Fabre, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre Départemental de l'Elevage Ovin (CDEO), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), NEIKER-Basque Institute for Agricultural Research and Development, CASDAR n°20ART1532777, PRESAGE, APISGENE, HOMLET, Région OCCITANIE, HOMLET, PRESAGE, HOMLET, European Project: 772787,H2020-EU.3.2.1.1., and H2020-EU.3.2.,SMARTER(2018)
Subjects: Ovis aries, acetyl-CoA transporter, neonatal mortality, [SDV]Life Sciences [q-bio], lethal variant, MTRDHH2, abortion, SLC33A1, Ovis aries homozygous haplotype deficiency MTRDHH2 lethal variant abortion neonatal mortality SLC33A1 acetyl-CoA transporter, homozygous haplotype deficiency
Abstract: Recently, we evidenced that the Manech Tête Rousse (MTR) deficient homozygous haplotype 2 (MTRDHH2) was likely to harbor a recessive lethal variant in ovine. In the present study, we fine mapped this region by analyzing the whole genome sequence of five MTRDHH2 heterozygous carriers compared to 95 sequences of non-carrier animals from MTR and others ovine breeds. We successfully identified a single base pair duplication in theSLC33A1gene, resulting in a frameshift leading to a premature stop codon (p.Arg246Alafs*3). SLC33A1 acts as a transmembrane transporter of acetyl-Coenzyme A, essential for cellular metabolism. In order to assess for the lethal phenotype in homozygous MTR sheep, we generated at-risk matings by artificial insemination (AI) between rams and ewes heterozygous for theSLC33A1variant namedSLC33A1_dupG. Gestation status was checked 15 days post-AI by a molecular test from blood expression of the interferon Tau-stimulatedMX1gene, and by ultrasonography performed between 45 days and 60 days post-AI. Based on ultrasonography, the AI success was reduced by 12% compared to safe matings suggesting embryonic/fetal losses further confirmed by the molecular test based onMX1differential expression. Forty-nine lambs were born from at-risk matings with a mortality rate of 34.7% observed before weaning. HomozygousSLC33A1_dupG lambs contributed to 47% of this mortality occurring mainly in the first five days after lambing with no obvious clinical signs. Thus, an appropriate management ofSLC33A1_dupG (allele frequency of 0.04) in the MTR selection scheme should increase the overall fertility and lamb survival.
Published: 2023

7. Homozygous haplotype deficiency in Manech Tête Rousse dairy sheep revealed a nonsense variant inMMUTgene affecting newborn lamb viability

Author: Maxime Ben Braiek, Carole Moreno-Romieux, Céline André, Jean-Michel Astruc, Philippe Bardou, Arnaud Bordes, Frédéric Debat, Francis Fidelle, Itsasne Granado–Tajada, Chris Hozé, Florence Plisson-Petit, François Rivemale, Julien Sarry, Némuel Tadi, Florent Woloszyn, Stéphane Fabre, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre Départemental de l'Elevage Ovin (CDEO), Institut de l'élevage, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), NEIKER-Basque Institute for Agricultural Research and Development, Eliance, CASDAR n°20ART1532777 PRESAGE, PRESAGE, European Project: 772787,H2020-EU.3.2.1.1., and H2020-EU.3.2.,SMARTER(2018)
Subjects: Ovis aries, Methylmalonic aciduria, neonatal mortality, MTRDHH1, [SDV]Life Sciences [q-bio], lethal variant, MMUT, homozygous haplotype deficiency
Abstract: Recessive deleterious variants are known to segregate in livestock populations as in human, and some may cause lethality when homozygous. By scanning the genome of 6,845 Manech Tête Rousse dairy sheep using phased 50k SNP genotypes and pedigree data, we searched for deficiency in homozygous haplotype (DHH). Five Manech Tête Rousse deficient homozygous haplotypes (MTRDHH1 to 5) were identified with a homozygous deficiency ranging from 84% to 100%. These haplotypes are located on OAR1 (MTRDHH2 and 3), OAR10 (MTRDHH4), OAR13 (MTRDHH5) and OAR20 (MTRDHH1), and have frequencies ranging from 7.8% to 16.6%. When comparing at-risk mating between DHH carriers to safe mating between non-carriers, two DHH (MTRDHH1 and 2) showed significant effects on decreasing artificial insemination success and/or increasing stillbirth rate. We particularly investigated the MTRDHH1 haplotype highly increasing stillbirth rate, and we identified a single nucleotide variant (SNV) inducing a premature stop codon (p.Gln409*) in theMMUTgene (methylmalonyl-CoA mutase) by using a whole genome sequencing (WGS) approach. We generated homozygous lambs for theMMUTmutation by oriented mating, and most of them died within the first 24h after birth without any obvious clinical defect. RT-qPCR and western blotting performed on post-mortem liver and kidney biological samples showed a decreased expression ofMMUTmRNA in the liver and absence of a full-length MMUT protein in mutated homozygous lambs. In parallel, MTRDHH4 and MTRDHH5 showed partial association with variants inRXFP2andASIPgenes, respectively, already known to control horned/polled and coat color phenotypes in sheep, two morphological traits accounting in the MTR breed standard. Further investigations are needed to identified the supposed recessive deleterious variant hosted by MTRDHH2 and MTRDHH3. Anyway, an appropriate management of these haplotypes/variants in the MTR dairy sheep selection program should increase the overall fertility and lamb survival.Author SummaryIn this article, we used reverse genetics screen in ovine using large genotype data available in the framework of genomic selection program in Manech Tête Rousse dairy sheep. We identified five genomic regions with a highly significant deficit in homozygous animal. These regions are thus supposed to host recessive deleterious mutations. In one of these genomic regions, we identified a nonsense mutation inMMUTthat alters the functioning of this essential gene of cell metabolism, causing perinatal mortality of homozygous lambs. In this work, we also identified other regions possibly associated with morphological appearance part of the breed standard such as polledness and coat color. Increasing knowledge in these genomic regions will help the future genetic management of the Manech Tête Rousse breed, particularly to reduce lamb mortality.
Published: 2023

8. Genome structures resolve the early diversification of teleost fishes

Author: Elise Parey, Alexandra Louis, Jerome Montfort, Olivier Bouchez, Céline Roques, Carole Iampietro, Jerome Lluch, Adrien Castinel, Cécile Donnadieu, Thomas Desvignes, Christabel Floi Bucao, Elodie Jouanno, Ming Wen, Sahar Mejri, Ron Dirks, Hans Jansen, Christiaan Henkel, Wei-Jen Chen, Margot Zahm, Cédric Cabau, Christophe Klopp, Andrew W. Thompson, Marc Robinson-Rechavi, Ingo Braasch, Guillaume Lecointre, Julien Bobe, John H. Postlethwait, Camille Berthelot, Hugues Roest Crollius, Yann Guiguen, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Oregon [Eugene], Université de Lausanne = University of Lausanne (UNIL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Hunan Normal University (HNU), Florida Atlantic University [Boca Raton], Future Genomics Technologies, Universiteit Leiden, Norwegian University of Life Sciences (NMBU), National Taiwan University [Taiwan] (NTU), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Western Michigan University [Kalamazoo], Michigan State University [East Lansing], Michigan State University System, Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Génomique fonctionnelle comparative - Comparative functional genomics, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), This work was supported by the Agence Nationale de la Recherche, France (ANR) on the GenoFish project, 2016–2021 (grant No. ANR-16-CE12-003) to H.R.C., C.B., J.B., J.H.P., M.R.C., and Y.G., and by France Génomique National infrastructure, funded as part of 'Investissement d’avenir' program managed by ANR (grant No. ANR-10-INBS-09) to C.D. Part of the fellowship to E.P. was supported by funds from the European Union Horizon 2020 research and innovation program under Grant Agreement No 817923 (AQUA-FAANG). M.R.-R. was supported by the Swiss National Science Foundation grant 31003A_173048. J.H.P and I.B were supported by the National Institutes of Health under grant agreement No. R01OD011116. W.J.C. was supported by MOST grants No. 111-2611-M-002-025, 110-2611-M-002-013, and 108-2611-M-002-012-MY2., ANR-16-CE12-0035,GenoFish,Evolution des génes et des génomes après duplication compléte(2016), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), European Project: 817923,H2020,H2020-EU.3.2.1.1., H2020-EU.3.2.3.1.,AQUA-FAANG(2019), DYnamique et Organisation des GENomes - Equipe de l'IBENS (DYOGEN), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Département de Biologie - ENS Paris, Institute of Oceanography [Taipei], Plateforme Bio-Informatique - Génotoul, Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-BioInfOmics, Génétique des génomes - Genetics of Genomes (UMR 3525), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Swiss National Science Foundation grant 31003A_173048, National Institute of Health under grant agreement No R01OD011116, and Muséum national d'Histoire naturelle (MNHN)
Subjects: Animals, Zebrafish/genetics, Fishes/genetics, Eels/genetics, Biological Evolution, Phylogeny, Genome, Evolution, Molecular, Multidisciplinary, [SDV]Life Sciences [q-bio], [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, [SDV.BID]Life Sciences [q-bio]/Biodiversity
Abstract: Accurate species phylogenies are a prerequisite for evolutionary research. Teleosts are by far the largest and the most diversified group of extant vertebrates, but relationships among the three oldest lineages of extant teleosts remain unresolved. Based on seven high-quality new genome assemblies in Elopomorpha (tarpons, eels), we revisited the topology of the deepest branches of the teleost phylogeny using independent gene sequence and chromosomal rearrangement phylogenomic approaches. These analyses converged to a single scenario that unambiguously places the Elopomorpha and Osteoglossomorpha (bony-tongues) in a monophyletic group sister to all other teleosts, i.e., the Clupeocephala lineage. This finding resolves over 50 years of controversy on the evolutionary relationships of these lineages and highlights the power of combining different levels of genome-wide information to solve complex phylogenies.One-Sentence SummaryWhole-genome analyses place Elopomorpha (tarpons, eels) and Osteoglossomorpha (bony-tongues) as sister groups at the deepest branching of crown teleosts.
Published: 2023

9. Urinary Metabolome Analysis Reveals Potential Microbiota Alteration and Electrophilic Burden Induced by High Red Meat Diet: Results from the French NutriNet‐Santé Cohort and an in vivo Intervention Study in Rats

Author: Loïc Mervant, Marie Tremblay‐Franco, Maïwenn Olier, Emilien Jamin, Jean‐Francois Martin, Lidwine Trouilh, Charline Buisson, Nathalie Naud, Claire Maslo, Cécile Héliès‐Toussaint, Edwin Fouché, Emmanuelle Kesse‐Guyot, Serge Hercberg, Pilar Galan, Mélanie Deschasaux‐Tanguy, Mathilde Touvier, Fabrice Pierre, Laurent Debrauwer, Francoise Guéraud, Metatoul AXIOM (E20 ), MetaboHUB-MetaToul, MetaboHUB-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-MetaboHUB-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-ToxAlim (ToxAlim), Université de Toulouse (UT)-Ecole d'Ingénieurs de Purpan (INP - PURPAN), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Ecole d'Ingénieurs de Purpan (INP - PURPAN), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ToxAlim (ToxAlim), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Réseau National Alimentation Cancer Recherche (réseau NACRe), Génome et Transcriptome (GeT) - Biopuces (TBI-GeT), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Toulouse Biotechnology Institute (TBI), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), In the context of NutriNet-Santé study, we especially thank Younes Esseddik andNathalie Arnault. We are also grateful to the Genotoul bioinformatics platform Toulouse Occitanieand Sigenae group for providing help and storage resources thanks to Galaxy instance (https://vmgalaxy-prod.toulouse.inra.fr). Sources of support for the work: PhD doctoral fellowship of LM wasco-funded by INRAE (Nutrition, Chemical Food Safety and Consumer Behaviour Scientific Division)and French region Occitanie. All MS experiments were performed on the instruments of theMetaToul-AXIOM platform, partner of the national infrastructure of metabolomics and fluxomics:MetaboHUB [MetaboHUB-ANR-11-INBS-0010, 2011]. This work has been funded by the 'InstitutNational du Cancer' (INCA_12705)-Project PLBIO18-130 and approved by the 'Réseau NACRe'.Graphical abstract was created with Biorender., and ANR-11-INBS-0010,METABOHUB,Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation(2011)
Subjects: Red meat, Microbiota, [SDV]Life Sciences [q-bio], Lipid peroxidation, Metabolomics, Mercapturic acids, Food Science, Biotechnology
Abstract: International audience; Scope: High red and processed meat consumption is associated with several adverse outcomes such as colorectal cancer and overall global mortality. However, the underlying mechanisms remain debated and need to be elucidated.Methods and results: Urinary untargeted LC-MS metabolomics data from 240 subjects from the French cohort NutriNet-Santé were analysed. Individuals were matched and divided into 3 groups according to their consumption of red and processed meat: high red and processed meat consumers, non-red and processed meat consumers and an at random group. Results were supported by a preclinical experiment where rats were fed either a high red meat or a control diet. Microbiota derived metabolites, in particular indoxyl sulfate and cinnamoylglycine, were found impacted by the high red meat diet in both studies, suggesting a modification of microbiota by the high red/processed meat diet. Rat microbiota sequencing analysis strengthened this observation. Although not evidenced in the human study, rat mercapturic acid profile concomitantly revealed an increased lipid peroxidation induced by high red meat diet.Conclusion: Novel microbiota metabolites were identified as red meat consumption potential biomarkers, suggesting a deleterious effect, which could partly explain the adverse effects associated with high red and processed meat consumption.
Published: 2023

10. Plasticité de l’Empreinte du placeNta et de l’EndOmetre en lien avec la maturité du PorcElet - PENElOPE - Fiche Projet AAP GA 2014

Author: Bonnet, Agnès, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut National de la Recherche Agronomique (INRA), Génopole de Toulouse Midi-Pyrénées (Géno Toul), SIGENAE, Financement : Demande de crédits incitatifs 2014 - Département de Génétique Animale, Superviseur : Agnès Bonnet, and Partenaires : Institut National de la Recherche Agronomique (INRA), Génopole de Toulouse Midi-Pyrénées (Géno Toul), SIGENAE
Subjects: [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs]
Published: 2014

11. Development of a polymerase chain reaction (PCR)-based genetic sex identification method in the chub mackerel Scomber japonicus and blue mackerel S. australasicus

Author: Reoto Tani, Tetsuro Morita, Christophe Klopp, Yann Guiguen, Ryosuke Yazawa, Marine Milhes, Wataru Kawamura, Goro Yoshizaki, Tokyo University of Marine Science and Technology (TUMSAT), Plateforme Bio-Informatique - Génotoul, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Subjects: Broodstock management, Pool-seq, [SDV]Life Sciences [q-bio], Molecular sexing, Mackerel, Zoology, Sexing, Broodstock, Aquatic Science, 03 medical and health sciences, Blue mackerel S. australasicus, Chub mackerel, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, 14. Life underwater, 030304 developmental biology, Scomber, 0303 health sciences, biology, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, 04 agricultural and veterinary sciences, Chub mackerel Scomber japonicus, biology.organism_classification, Sexual dimorphism, 040102 fisheries, 0401 agriculture, forestry, and fisheries, Heterogametic sex, Sex ratio
Abstract: International audience; Chub mackerel Scomber japonicus and blue mackerel S. australasicus have become important aquaculture target species in Japan. For an efficient and stable aquaculture production of mackerels, it is desirable to work with a female-biased broodstock and thus to be able to manage precisely their sex ratio. As these two mackerel species do not have any external sexual dimorphism, direct biopsy of the gonads or measurement of sex hormone plasma levels is used in research to determine their phenotypic sex. However, these methods are associated with handling stress that results in gonadal atresia. Besides, it is difficult to identify sex using these methods in immature individuals. Therefore, genetic sexing would be desirable in these species to overcome these problems. In this study, we developed molecular sex identification tools for both chub and blue mackerels using sex-specific single-nucleotide variations (SNVs) identified by pool-sequencing (pool-seq) analyses. Genomic DNA was isolated from 30 males and females, in each species, and sequenced as pooled samples. Results of these pool-seq analyses identified a clear XX/XY male heterogametic sex-determination system in blue mackerel and a ZZ/ZW female heterogametic system in chub mackerel. Using this pool-seq information, we designed primer sets for genetic sex identification in both species. Results demonstrated that these primer sets are robust and accurate in assessing the genotypic sex of both blue and chub mackerels (accuracy > 99.5% in the chub, and > 94.5% in the blue mackerel) in various geographical samples of different ages. This method can now be applied for the efficient management of sex ratios in both mackerel aquaculture populations and wild-caught animals for fisheries management.
Published: 2021

12. AIP Bio-Ressources 2010 - Projet BioFoll

Author: Bonnet, Agnès, Station d'Amélioration Génétique des Animaux (SAGA), Institut National de la Recherche Agronomique (INRA), Génopole de Toulouse Midi-Pyrénées (Géno Toul), SIGENAE, Financement : AIP Bioressources, Superviseur : Agnès Bonnet, and Partenaires : Génopole de Toulouse Midi-Pyrénées (Géno Toul), SIGENAE
Subjects: [SDV]Life Sciences [q-bio]
Published: 2010

13. Domestication modulates the expression of genes involved in neurogenesis in high‐quality eggs of Sander lucioperca

Author: Daniel Żarski, Christophe Klopp, Joanna Nynca, Beata Sarosiek, Aurélie Le Cam, Julien Bobe, Slawomir Ciesielski, Jarosław Król, Andrzej Ciereszko, Pascal Fontaine, Jérôme Montfort, Institute of Animal Reproduction and Food Research of Polish Academy of Sciences, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Warmia and Mazury [Olsztyn], Unité de Recherches Animal et Fonctionnalités des Produits Animaux (URAFPA), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and 'Integratedanalysis of transcriptome and proteome as a tool for assessment of quality and aging process in eggs of pikeperch' (Grant sponsor: NationalScience Center for Poland, Grant Number: 2016/22/M/ NZ9/00590)
Subjects: Male, 0301 basic medicine, Microarray, Neurogenesis, [SDV]Life Sciences [q-bio], Aquaculture, Biology, Domestication, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Genetics, Animals, Pikeperch, Genes, Developmental, 14. Life underwater, Transcriptomics, Gene, Ovum, 030219 obstetrics & reproductive medicine, business.industry, Gene Expression Regulation, Developmental, Cell Biology, 030104 developmental biology, Perches, Evolutionary biology, Trait, Female, Adaptation, business, Developmental Biology
Abstract: Pikeperch, Sander lucioperca, is a species of high interest to the aquaculture. The expansion of its production can only be achieved by furthering domestication level. However, the mechanisms driving the domestication process in finfishes are poorly understood. Transcriptome profiling of eggs was found to be a useful tool allowing understanding of the domestication process in teleosts. In this study, using next-generation sequencing, the first pikeperch transcriptome has been generated as well as pikeperch-specific microarray comprising 35,343 unique probes. Next, we performed transcriptome profiling of eggs obtained from wild and domesticated populations. We found 710 differentially expressed genes that were linked mostly to nervous system development. These results provide new insights into processes that are directly involved in the domestication of finfishes. It can be suggested that all the identified processes were predetermined by the maternally derived set of genes contained in the unfertilized eggs. This allows us to suggest that fish behavior, along with many other processes, can be predetermined at the cellular level and may have significant implications on the adaptation of cultured fish to the natural environment. This also allows to suggest that fish behavior should be considered as a very important pikeperch aquaculture selection trait.
Published: 2020

14. Detection of selection signatures in Limousin cattle using whole‐genome resequencing

Author: Gilles Renand, Yuliaxis Ramayo-Caldas, Dominique Rocha, M. Mariadassou, Mathieu Charles, M. Féménia, Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute for Food and Agriculture Research and Technology (IRTA), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Université Paris-Saclay, APIS-GENE 01-2005-QualviGenA-02, INRAE, ANR-05-GANI-0005,Mugene,Approche intégrée combinant la génétique, la génomique et la biologie musculaire pour gérer la qualité de la viande bovine selon le potentiel de croissance des animaux et les facteurs d'élevage.(2005), ANR-05-GANI-0017,QualvigenA,Détection et validation de génes impliqués dans les qualités de la viande bovine des trois principales races à viande en France(2005), ANR-09-GENM-0011,Regulomix,Analyse à grande échelle des polymorphismes bovins affectant la régulation de gènes : un pas vers l'annotation fonctionnelle du génome bovin(2009), European Project: 6655919,P-Sphere, and AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: Male, 0301 basic medicine, Candidate gene, [SDV]Life Sciences [q-bio], whole-genome resequencing, biology.animal_breed, Single-nucleotide polymorphism, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Genome, 03 medical and health sciences, INDEL Mutation, Genetics, Animals, Selection, Genetic, Indel, Limousin breed, Selection (genetic algorithm), Limousin cattle, [SDV.GEN]Life Sciences [q-bio]/Genetics, Whole Genome Sequencing, [SDV.BA]Life Sciences [q-bio]/Animal biology, 0402 animal and dairy science, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, signature of selection, 030104 developmental biology, Cattle, Animal Science and Zoology, France, polymorphisms, Selective sweep
Abstract: International audience; Limousin, a renowned beef breed originating from central France, has been selectively bred over the last 100 years to improve economically important traits. We used whole-genome sequencing data from 10 unrelated Limousin bull calves to detect polymorphisms and identify regions under selection. A total of 13 943 766 variants were identified. Moreover, 311 852 bi-allelic SNPs and 92 229 indels located on autosomes were fixed for the alternative allele in all sequenced animals, including the previously reported missense deleterious F94L mutation inMSTN. We performed a whole-genome screen to discover genomic regions with excess homozygosity, using the pooled heterozygosity score and identified 171 different candidate selective sweeps. In total, 68 candidate genes were found in only 57 of these regions, indicating that a large fraction of the genome under selection might lie in non-coding regions and suggesting that a majority of adaptive mutations might be regulatory in nature. Many QTL were found within candidate selective sweep regions, including QTL associated with shear force or carcass weight. Among the putative selective sweeps, we located genes (MSTN,NCKAP5,RUNX2) that potentially contribute to important phenotypes in Limousin. Several candidate regions and genes under selection were also found in previous genome-wide selection scans performed in Limousin. In addition, we were able to pinpoint candidate causative regulatory polymorphisms inGRIK3andRUNX2that might have been under selection. Our results will contribute to improved understanding of the mechanisms and targets of artificial selection and will facilitate the interpretation of GWASs performed in Limousin.
Published: 2020

15. FishmiRNA: An Evolutionarily Supported MicroRNA Annotation and Expression Database for Ray-Finned Fishes

Author: Thomas Desvignes, Philippe Bardou, Jérôme Montfort, Jason Sydes, Cervin Guyomar, Simon George, John H Postlethwait, Julien Bobe, Girard, Agnès, APPEL À PROJETS GÉNÉRIQUE 2018 - Elucider les bases cellulaires de la fécondité chez le poisson : dynamique et régulation de l'ovogenèse chez le medaka - - DynaMO2018 - ANR-18-CE20-0004 - AAPG2018 - VALID, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, University of Oregon [Eugene], Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génomique Fonctionnelle - Montpellier GenomiX (IGF MGX), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-BioCampus (BCM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), This work was supported by the National Institutes of Health (grant numbers NIH R24 OD011199, NIH 5R01 OD011116, and NIH R01 GM085318 to JHP), the National Science Foundation Office of Polar Program (NSF OPP-1543383 to JHP and TD), and the Agence Nationale de la Recherche (ANR-18-CE20-0004 to JB). This work benefited from access to the University of Oregon high performance computer, Talapas. MGX acknowledges financial support from France Génomique National infrastructure, funded as part of 'Investissement d'Avenir' program managed by Agence National pour la Recherche (ANR-10-INBS-09)., ANR-18-CE20-0004,DynaMO,Elucider les bases cellulaires de la fécondité chez le poisson : dynamique et régulation de l'ovogenèse chez le medaka(2018), and ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010)
Subjects: [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Teleost, [SDV]Life Sciences [q-bio], non-coding RNA, Fishes, bowfin Amia calva, Holostei, [SDV] Life Sciences [q-bio], Whole Genome Duplication, MicroRNAs, actinopterygian, Genetics, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Animals, Molecular Biology, Ecology, Evolution, Behavior and Systematics
Abstract: MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression involved in countless biological processes and are widely studied across metazoans. Although miRNA research continues to grow, the large community of fish miRNA researchers lacks exhaustive resources consistent among species. To fill this gap, we developed FishmiRNA, an evolutionarily supported miRNA annotation and expression database for ray-finned fishes: www.fishmirna.org. The self-explanatory database contains detailed, manually curated miRNA annotations with orthology relationships rigorously established by sequence similarity and conserved syntenies, and expression data provided for each detected mature miRNA. In just few clicks, users can download the annotation and expression database in several convenient formats either in its entirety or a subset. Simple filters and Blast search options also permit the simultaneous exploration and visual comparison of expression data for up to any ten mature miRNAs across species and organs. FishmiRNA was specifically designed for ease of use to reach a wide audience.
Published: 2022

16. A duplicated copy of id2b is an unusual sex-determining candidate gene on the Y chromosome of arapaima (Arapaima gigas)

Author: Adolfi, Mateus C., Du, Kang, Kneitz, Susanne, Cabau, Cédric, Zahm, Margot, Klopp, Christophe, Feron, Romain, Paixão, Rômulo V., Varela, Eduardo S., de Almeida, Fernanda L., de Oliveira, Marcos A., Nóbrega, Rafael H., Lopez-Roques, Céline, Iampietro, Carole, Lluch, Jérôme, Kloas, Werner, Wuertz, Sven, Schaefer, Fabian, Stöck, Matthias, Guiguen, Yann, Schartl, Manfred, University of Würzburg = Universität Würzburg, Texas State University, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute of Sport Sciences of University of Lausanne (ISSUL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), EMBRAPA Amazônia Oriental, Embrapa Pesca E Aquicultura, Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Hiroshima University, University Hospital of Würzburg, University of Wuerzburg, Université de Toulouse, LPGP, and Swiss Institute of Bioinformatics, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidade Estadual Paulista (UNESP), Genotoul, IGB, University Hospital, Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), MATEUS C. ADOLFI, University of Wuerzburg, KANG DU, University of Wuerzburg, SUSANNE KNEITZ, University of Wuerzburg, CÉDRIC CABAU, Université de Toulouse, MARGOT ZAHM, Université de Toulouse, CHRISTOPHE KLOPP, INRA, ROMAIN FERON, INRAE, RÔMULO V. PAIXÃO, Bolsista CPAA, EDUARDO SOUSA VARELA, CNPASA, FERNANDA LOUREIRO ALMEIDA OSULLIVAN, CPAA, MARCOS A. DE OLIVEIRA, UNESP, RAFAEL H. NÓBREGA, UNESP, CÉLINE LOPEZ-ROQUES, INRAE, CAROLE IAMPIETRO, INRAE, JÉRÔME LLUCH, INRAE, WERNER KLOAS, Institute of Freshwater Ecology and Inland Fisheries, SVEN WUERTZ, Institute of Freshwater Ecology and Inland Fisheries, FABIAN SCHAEFER, Institute of Freshwater Ecology and Inland Fisheries, MATTHIAS STÖCK, Institute of Freshwater Ecology and Inland Fisheries, YANN GUIGUEN, INRAE, and MANFRED SCHARTL, Comprehensive Cancer Center Mainfranken.
Subjects: Genetic Markers, Male, Conservation of Natural Resources, Genotype, Science, [SDV]Life Sciences [q-bio], Fisheries, Polymerase Chain Reaction, Article, Evolutionary genetics, Protein Structure, Secondary, Arapaima gigas, Evolution, Molecular, Pirarucu, Gene Duplication, Y Chromosome, Animals, ddc:610, Phylogeny, Inhibitor of Differentiation Protein 2, Genome, Sex Chromosomes, Fishes, Chromosome Mapping, DNA, Sequence Analysis, DNA, Protein Structure, Tertiary, Phenotype, Medicine, Female
Abstract: Made available in DSpace on 2022-04-28T19:46:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01 Julius-Maximilians-Universität Würzburg Arapaima gigas is one of the largest freshwater fish species of high ecological and economic importance. Overfishing and habitat destruction are severe threats to the remaining wild populations. By incorporating a chromosomal Hi-C contact map, we improved the arapaima genome assembly to chromosome-level, revealing an unexpected high degree of chromosome rearrangements during evolution of the bonytongues (Osteoglossiformes). Combining this new assembly with pool-sequencing of male and female genomes, we identified id2bbY, a duplicated copy of the inhibitor of DNA binding 2b (id2b) gene on the Y chromosome as candidate male sex-determining gene. A PCR-test for id2bbY was developed, demonstrating that this gene is a reliable male-specific marker for genotyping. Expression analyses showed that this gene is expressed in juvenile male gonads. Its paralog, id2ba, exhibits a male-biased expression in immature gonads. Transcriptome analyses and protein structure predictions confirm id2bbY as a prime candidate for the master sex-determiner. Acting through the TGFβ signaling pathway, id2bbY from arapaima would provide the first evidence for a link of this family of transcriptional regulators to sex determination. Our study broadens our current understanding about the evolution of sex determination genetic networks and provide a tool for improving arapaima aquaculture for commercial and conservation purposes. Developmental Biochemistry Biocenter University of Wuerzburg, Am Hubland The Xiphophorus Genetic Stock Center Department of Chemistry and Biochemistry Texas State University, San Marcos Biochemistry and Cell Biology Biocenter University of Wuerzburg, Am Hubland Sigenae GenPhySE INRAE ENVT Université de Toulouse MIAT INRA Université de Toulouse, Chemin de Borde Rouge INRAE LPGP Department of Ecology and Evolution University of Lausanne and Swiss Institute of Bioinformatics Embrapa Amazônia Ocidental Embrapa Pesca E Aquicultura Reproductive and Molecular Biology Group Department of Morphology Institute of Biosciences UNESP GeT-PlaGe INRAE Genotoul Leibniz-Institute of Freshwater Ecology and Inland Fisheries IGB, Müggelseedamm 301 & 310 Amphibian Research Center Hiroshima University Comprehensive Cancer Center Mainfranken University Hospital Reproductive and Molecular Biology Group Department of Morphology Institute of Biosciences UNESP
Published: 2021

17. A supernumerary 'B-sex' chromosome drives male sex determination in the Pachón cavefish, Astyanax mexicanus

Author: Séverine Beille, Sylvie Rétaux, John H. Postlethwait, Claire Kuchly, Hugues Parrinello, Amaury Herpin, Tomáš Pavlica, Ahmed Al-Rikabi, Christophe Klopp, Cécile Donnadieu, Jorge Torres-Paz, Manfred Schartl, Lisa Gil, Thomas Liehr, Joerg Bohlen, Adrien Castinel, Romain Feron, Yann Guiguen, Céline Lopez-Roques, Margot Zahm, Cédric Cabau, Boudjema Imarazene, Frédéric Veyrunes, Thomas D. Mueller, Elodie Jouanno, Alexandr Sember, Kang Du, Sergey A. Simanovsky, Qiaowei Pan, Julie Perez, Laurent Journot, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut des Neurosciences Paris-Saclay (NeuroPSI), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Texas State University, Université de Lausanne = University of Lausanne (UNIL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génomique Fonctionnelle (IGF), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institute of Animal Physiology and Genetics of the Czech Academy of Sciences (IAPG / CAS), Czech Academy of Sciences [Prague] (CAS), Charles University [Prague] (CU), Jena University Hospital [Jena], A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), University of Würzburg = Universität Würzburg, University of Oregon [Eugene], This project was supported by funds from the 'Agence Nationale de la Recherche' (ANR/DFG, PhyloSex project, 2014-2016) to Y.G. and M.S. S.R. was supported by grants from an Equipe FRM (Fondation pour la Recherche Médicale, DEQ20150331745) and MITI CNRS (Mission pour les Initiatives Transverses et Interdisciplinaires). J.H.P. was supported by an NIH grant (R35 GM139635). Sequencing was supported by France Génomique as part of an 'Investissement d’avenir' program managed by ANR (contract ANR-10-INBS-09) and by the GET-PACBIO program (Programme opérationnel FEDER-FSE MIDI-PYRENEES ET GARONNE 2014-2020). The CytoEvol platform at ISEM was supported by the Labex CeMEB. J.B., T.P., and A.S. were supported by RVO: 67985904 of IAPG CAS, Liběchov. T.P. was supported by the projects of the Czech Ministry of Education (SVV 260571/2021). S.A.S. was supported by the Russian Foundation for Basic Research (RFBR) (18-34-00638). B.I.’s PhD fellowship was supported by the Doctoral School of Ecology, Geosciences, Agronomy, Nutrition of the University of Rennes 1 and INRAE. We are grateful to the genotoul bioinformatics platform Toulouse Occitanie (Bioinfo Genotoul, https://doi.org/10.15454/1.5572369328961167E12) for providing help, computing, and storage resources. Funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., ANR-13-ISV7-0005,PhyloSex,Evolution des déterminants majeurs du sexe chez les poissons.(2013), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), University of Lausanne (UNIL), Université de Lausanne (UNIL), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Guiguen, Yann, Blanc – Accords bilatéraux 2013 - Evolution des déterminants majeurs du sexe chez les poissons. - - PhyloSex2013 - ANR-13-ISV7-0005 - Blanc – Accords bilatéraux 2013 - VALID, and Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID
Subjects: Male, [SDV]Life Sciences [q-bio], Male sex determination, sex determination, Cavefish, B chromosome, Biology, Genome, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Animals, gonads, Gene, genome, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Genetics, 0303 health sciences, Sexual differentiation, Characidae, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], sex chromosomes, Chromosome, Sex reversal, Biological Evolution, [SDV] Life Sciences [q-bio], Caves, cavefish, gdf6, sex differentiation, Female, General Agricultural and Biological Sciences, 030217 neurology & neurosurgery
Abstract: Sex chromosomes are generally derived from a pair of classical type-A chromosomes, and relatively few alternative models have been proposed up to now.(1,2) B chromosomes (Bs) are supernumerary and dispensable chromosomes with non-Mendelian inheritance found in many plant and animal species(3,4) that have often been considered as selfish genetic elements that behave as genome parasites.(5,6) The observation that in some species Bs can be either restricted or predominant in one sex(7–14) raised the interesting hypothesis that Bs could play a role in sex determination.(15) The characterization of putative B master sex-determining (MSD) genes, however, has not yet been provided to support this hypothesis. Here, in Astyanax mexicanus cavefish originating from Pachón cave, we show that Bs are strongly male predominant. Based on a high-quality genome assembly of a B-carrying male, we characterized the Pachón cavefish B sequence and found that it contains two duplicated loci of the putative MSD gene growth differentiation factor 6b (gdf6b). Supporting its role as an MSD gene, we found that the Pachón cavefish gdf6b gene is expressed specifically in differentiating male gonads, and that its knockout induces male-to-female sex reversal in B-carrying males. This demonstrates that gdf6b is necessary for triggering male sex determination in Pachón cavefish. Altogether these results bring multiple and independent lines of evidence supporting the conclusion that the Pachón cavefish B is a “B-sex” chromosome that contains duplicated copies of the gdf6b gene, which can promote male sex determination in this species.
Published: 2021

18. Transcriptome Profiling of the Pacific Oyster Crassostrea gigas Visceral Ganglia over a Reproduction Cycle Identifies Novel Regulatory Peptides

Author: Emilie Réalis-Doyelle, Julie Schwartz, Cédric Cabau, Lorane Le Franc, Benoit Bernay, Guillaume Rivière, Christophe Klopp, Pascal Favrel, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Interactions Cellules Organismes Environnement (ICORE), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Council of the Normandy Region (RIN ECUME: 18E01643-18P02383), ANR-14-CE02-0020,NEMO,Neuropeptides d'organismes marins(2014), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE)
Subjects: reproduction, [SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology, animal structures, QH301-705.5, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDV]Life Sciences [q-bio], fungi, nervous system, neuropeptides, Biology (General), transcriptome, [SDV.BDLR.RS]Life Sciences [q-bio]/Reproductive Biology/Sexual reproduction
Abstract: The neuropeptides involved in the regulation of reproduction in the Pacific oyster (Crassostrea gigas) are quite diverse. To investigate this diversity, a transcriptomic survey of the visceral ganglia (VG) was carried out over an annual reproductive cycle. RNA-seq data from 26 samples corresponding to VG at different stages of reproduction were de novo assembled to generate a specific reference transcriptome of the oyster nervous system and used to identify differentially expressed transcripts. Transcriptome mining led to the identification of novel neuropeptide precursors (NPPs) related to the bilaterian Eclosion Hormone (EH), crustacean female sex hormone/Interleukin 17, Nesfatin, neuroparsin/IGFBP, prokineticins, and urotensin I, to the protostome GNQQN, pleurin, prohormones 3 and 4, prothoracotropic hormones (PTTH), and QSamide/PXXXamide, to the lophotrochozoan CCWamide, CLCCY, HFAamide, and LXRX, and to the mollusk-specific NPPs CCCGS, clionin, FYFY, GNamide, GRWRN, GSWN, GWE, IWMPxxGYxx, LXRYamide, RTLFamide, SLRFamide, and WGAGamide. Among the complete repertoire of NPPs, no sex-biased expression was observed. However, 25 NPPs displayed reproduction stage-specific expression, supporting their involvement in the control of gametogenesis or associated metabolisms.
Published: 2021

19. Identification and characterisation of mitochondrial sequences integrated into the ovine nuclear genome

Author: A. Boulling, M. Féménia, Mathieu Charles, Dominique Rocha, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and National Research Institute for Agriculture, Food and Environment (INRAE)
Subjects: 0301 basic medicine, Mitochondrial DNA, Nuclear gene, [SDV]Life Sciences [q-bio], Sequence assembly, Computational biology, Biology, Genome, DNA, Mitochondrial, law.invention, 03 medical and health sciences, Intergenic region, law, Genetics, sheep/pseudogene, Animals, Gene, Polymerase chain reaction, Sheep, Domestic, Cell Nucleus, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.BA]Life Sciences [q-bio]/Animal biology, 0402 animal and dairy science, 04 agricultural and veterinary sciences, General Medicine, Sequence Analysis, DNA, 040201 dairy & animal science, mitochondria, 030104 developmental biology, Genome, Mitochondrial, Animal Science and Zoology, Numt, Female
Abstract: International audience; Mitochondrial DNA sequences are frequently transferred into the nuclear genome, generating nuclear mitochondrial DNA sequences (NUMTs). Here, we analysed, for the first time, NUMTs in the ovine genome. We obtained 760 alignment matches covering 513.8 kbp of the sheep nuclear genome. After a merging step, we identified 390 NUMT regions with a total length of similar to 720 kbp, representing 0.02% of the nuclear genome. We discovered copies of all mitochondrial regions and found that most NUMT regions are intergenic or intronic. Ovine NUMTs are mostly not transcribed. However, we identified within some of the NUMTs, potential new genes encoding nuclear humanin isoforms. To rule out the possibility that the identified NUMTs could be artifacts of the Oar Rambouillet v1.0 genome assembly, we validated experimentally nine NUMT regions by PCR amplification. As we found several NUMT regions showing high similarity to the mitochondrial genome that potentially could pose a risk to ovine DNA mitochondrial studies, special care must be taken for the selection of primers for PCR amplification of mitochondrial DNA sequences.
Published: 2021

20. Insights into the acquisition of the pks island and production of colibactin in the Escherichia coli population

Author: Nadège Bossuet-Greif, Yoko Arimizu, Camille V. Chagneau, Priscilla Branchu, Hubert Brugère, Eric Oswald, Clémence Massip, Tetsuya Hayashi, Jean-Philippe Nougayrède, Yoshitoshi Ogura, Frédéric Auvray, Alexandre Perrat, Institut de Recherche en Santé Digestive (IRSD ), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Kyushu University [Fukuoka], Kurume University School of Medicine, Kurume University, région Occitanie (grant ALDOCT-000610), Ministère de l’Agriculture, SIGENAE group, GENOTOUL bioinformatics platform, and METATOUL lipidomic platform
Subjects: sequence type, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, VNTR, extra-intestinal pathogenic E. coli, variable number of tandem repeat, Integrase, medicine.disease_cause, neighbour joining, PK synthase, DR, NRPKS, polycyclic compounds, interstrand cross-link, genotoxin, maximum likelihood, Research Articles, Escherichia coli Infections, Phylogeny, ExPEC, 2. Zero hunger, Genetics, 0303 health sciences, education.field_of_study, Virulence, Phylogenetic tree, clonal complex, Escherichia coli Proteins, HGT, asparagine, genetic diversity, General Medicine, CC, ST, Transfer RNA, horizontal gene transfer, transfer ribonucleic acid, MRCA, colibactin, HPI, DNA, Bacterial, NJ, insertion sequence, Int, Genomic Islands, Virulence Factors, Population, SNP, most recent common ancestor, Locus (genetics), Pathogens and Epidemiology, pks, Biology, CFU, high pathogenicity island, pks. Abbreviations: asn, 03 medical and health sciences, pathogenicity island, Escherichia coli, medicine, Animals, Humans, integrative and conjugative element, NRP synthetase, education, tRNA, 030304 developmental biology, Whole genome sequencing, 030306 microbiology, ICE, Genetic Variation, Sequence Analysis, DNA, ICL, ML, [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, Pathogenicity island, Single nucleotide polymorphism, Polyketides, IS, Cattle, colony forming unit, Peptides, Direct repeats, enterobacteria, Mutagens
Abstract: The pks island codes for the enzymes necessary for synthesis of the genotoxin colibactin, which contributes to the virulence of Escherichia coli strains and is suspected of promoting colorectal cancer. From a collection of 785 human and bovine E. coli isolates, we identified 109 strains carrying a highly conserved pks island, mostly from phylogroup B2, but also from phylogroups A, B1 and D. Different scenarios of pks acquisition were deduced from whole genome sequence and phylogenetic analysis. In the main scenario, pks was introduced and stabilized into certain sequence types (STs) of the B2 phylogroup, such as ST73 and ST95, at the asnW tRNA locus located in the vicinity of the yersiniabactin-encoding High Pathogenicity Island (HPI). In a few B2 strains, pks inserted at the asnU or asnV tRNA loci close to the HPI and occasionally was located next to the remnant of an integrative and conjugative element. In a last scenario specific to B1/A strains, pks was acquired, independently of the HPI, at a non-tRNA locus. All the pks-positive strains except 18 produced colibactin. Sixteen strains contained mutations in clbB or clbD, or a fusion of clbJ and clbK and were no longer genotoxic but most of them still produced low amounts of potentially active metabolites associated with the pks island. One strain was fully metabolically inactive without pks alteration, but colibactin production was restored by overexpressing the ClbR regulator. In conclusion, the pks island is not restricted to human pathogenic B2 strains and is more widely distributed in the E. coli population, while preserving its functionality.
Published: 2021

21. FROGS: a powerful tool to analyse the diversity of fungi with special management of internal transcribed spacers

Author: Maria Bernard, Olivier Rué, Géraldine Pascal, Mahendra Mariadassou, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Saclay, INRAE, BioinfOmics, MIGALE bioinformatics facility (MIGALE), Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, Computer science, [SDV]Life Sciences [q-bio], [SDV.BID]Life Sciences [q-bio]/Biodiversity, Web Browser, 010603 evolutionary biology, 01 natural sciences, Workflow, Set (abstract data type), 03 medical and health sciences, User-Computer Interface, RNA, Ribosomal, 16S, DNA, Ribosomal Spacer, Databases, Genetic, DNA Barcoding, Taxonomic, Molecular Biology, 030304 developmental biology, 0303 health sciences, amplicon, Fungi, Data science, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Metagenomics, metabarcoding, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], User interface, ITS, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Software, Information Systems
Abstract: Fungi are present in all environments. They fulfil important ecological functions and play a crucial role in the food industry. Their accurate characterization is thus indispensable, particularly through metabarcoding. The most frequently used markers to monitor fungi are ITSs. These markers are the best documented in public databases but have one main weakness: polymerase chain reaction amplification may produce non-overlapping reads in a significant fraction of the fungi. When these reads are filtered out, traditional metabarcoding pipelines lose part of the information and consequently produce biased pictures of the composition and structure of the environment under study. We developed a solution that enables processing of the entire set of reads including both overlapping and non-overlapping, thus providing a more accurate picture of fungal communities. Our comparative tests using simulated and real data demonstrated the effectiveness of our solution, which can be used by both experts and non-specialists on a command line or through the Galaxy-based web interface.
Published: 2021

22. RADSex: A computational workflow to study sex determination using restriction site-associated DNA sequencing data

Author: Ørjan Karlsen, Susanne Kneitz, Rafael Henrique Nóbrega, Qiaowei Pan, Masatoshi Nakamoto, Elodie Jouanno, Thomas Desvignes, John H. Postlethwait, Ato Takanashi, Braedan M. McCluskey, Amaury Herpin, Matthias Stöck, Alvaro S. Roco, Boudjema Imarazene, Manfred Schartl, Zhongwei Wang, Mateus Contar Adolfi, Romain Feron, Catherine Wilson, Hugues Parrinello, Takashi Sakamoto, Ingo Braasch, Christophe Klopp, Marcos Antonio de Oliveira, Frederick W. Goetz, Harry William Detrich, Robert M. Waterhouse, Ming Wen, Yann Guiguen, Mari Kawaguchi, Angel Amores, Laurent Journot, Anna Wargelius, Verena A. Kottler, Kang Du, Jennifer L. Anderson, IINRAE, Univ Lausanne, Swiss Inst Bioinformat, Hunan Normal Univ, Uppsala Univ, Univ Montpellier, INRAE, Univ Wurzburg, Texas State Univ, Univ Oregon, NOAA, Sophia Univ, Northeastern Univ, Universidade Estadual Paulista (Unesp), Tokyo Univ Marine Sci & Technol, Inst Marine Res, Chinese Acad Sci, IGB, Michigan State Univ, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Ecology and Evolution, University of Lausanne, Université de Lausanne (UNIL), Swiss Institute of Bioinformatics [Lausanne] (SIB), State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan University [Changsha] (HNU), Department of Systematic Biology [Uppsala], Evolutionary Biology Centre (EBC), Uppsala University-Uppsala University, Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiological Chemistry, Biocenter, University of Würzburg = Universität Würzburg, The Xiphophorus Genetic Stock Center, Department of Chemistry and Biochemistry, Texas State University, Institute of Neuroscience, University of Oregon, Eugene, University of Oregon [Eugene], Tokyo University of Marine Science and Technology (TUMSAT), Environmental and Fisheries Sciences Division, Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), Sophia University, Tokyo, Faculty of Science and Technology, Department of Marine and Environmental Sciences, Marine Science Center, Northeastern University, Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB), Institute of Hydrobiology [Wuhan], Chinese Academy of Sciences [Beijing] (CAS), Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Integrative Biology, Michigan State University, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, This project was supported by funds from the 'Agence Nationale de la Recherche', the 'Deutsche Forschungsgemeinschaft' (ANR/DFG, PhyloSex project,2014-2016, SCHA 408/10-1, MS), the National Institutes of Health (USA) grant R01GM085318, JHP), and the National Science Foundation (USA) Office of Polar Programs (grants PLR-1247510 and PLR-1444167 to HWD and grant OPP-1543383 to JHP, TD, and HWD). The MGX core sequencing facility was supported by France Genomique National infrastructure, funded as part of 'Investissement d’avenir' program managed by Agence Nationale pour la Recherche (contract ANR-10-INBS-09). RF was partially supported by Swiss National Science Foundation grant PP00P3_170664 to RMW., ANR-13-ISV7-0005,PhyloSex,Evolution des déterminants majeurs du sexe chez les poissons.(2013), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), Department of Ecology and Evolution [Lausanne], Institute of Neuroscience, University of Oregon, Eugene, Oregon, Department of Materials and Life Sciences, Sophia University [Tokyo], Department of Structural and Functional Biology, Department of Aquatic Marine Biosciences, Developmental Biochemistry, Biocenter, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), and This project was supported by funds from the 'Agence Nationale de la Recherche', the 'Deutsche Forschungsgemeinschaft' (ANR/DFG, PhyloSex project, 2014-2016, SCHA 408/10-1, MS), the National Institutes of Health (USA) grants R01GM085318 and R35GM139635, JHP), and the National Science Foundation (USA) Office of Polar Programs (grants PLR-1247510 and PLR-1444167 to HWD and grant OPP-1543383 to JHP, TD, and HWD). The MGX core sequencing facility was supported by France Genomique National infrastructure, funded as part of 'Investissement d’avenir' program managed by Agence Nationale pour la Recherche (contract ANR-10-INBS-09). RF was partially supported by Swiss National Science Foundation grant PP00P3_170664 to RMW.
Subjects: 0106 biological sciences, 0301 basic medicine, Male, Sex Determination Analysis, Computer science, [SDV]Life Sciences [q-bio], sex determination, Locus (genetics), Computational biology, Biology, Y chromosome, 010603 evolutionary biology, 01 natural sciences, Computational workflow, DNA sequencing, Article, Workflow, 03 medical and health sciences, Sex-determination system, Genetics, Animals, Sequencing, RAD&#8208, Computational Biology, DNA, Female, Fishes/genetics, Sequence Analysis, DNA, Sex Chromosomes, Software, RAD-Sequencing, computational workflow, fish, visualization, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Visualization, 0303 health sciences, Fishes, Japanese Medaka, Sex determination, Restriction site, 030104 developmental biology, Fish, Identification (biology), Biotechnology
Abstract: Made available in DSpace on 2021-06-25T11:54:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-09 National Institute of Health (USA) Deutsche Forschungsgemeinschaft National Science Foundation (USA) Office of Polar Programs Agence Nationale de la Recherche Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung The study of sex determination and sex chromosome organization in nonmodel species has long been technically challenging, but new sequencing methodologies now enable precise and high-throughput identification of sex-specific genomic sequences. In particular, restriction site-associated DNA sequencing (RAD-Seq) is being extensively applied to explore sex determination systems in many plant and animal species. However, software specifically designed to search for and visualize sex-biased markers using RAD-Seq data is lacking. Here, we present RADSex, a computational analysis workflow designed to study the genetic basis of sex determination using RAD-Seq data. RADSex is simple to use, requires few computational resources, makes no prior assumptions about the type of sex-determination system or structure of the sex locus, and offers convenient visualization through a dedicated R package. To demonstrate the functionality of RADSex, we re-analysed a published data set of Japanese medaka, Oryzias latipes, where we uncovered a previously unknown Y chromosome polymorphism. We then used RADSex to analyse new RAD-Seq data sets from 15 fish species spanning multiple taxonomic orders. We identified the sex determination system and sex-specific markers in six of these species, five of which had no known sex-markers prior to this study. We show that RADSex greatly facilitates the study of sex determination systems in nonmodel species thanks to its speed of analyses, low resource usage, ease of application and visualization options. Furthermore, our analysis of new data sets from 15 species provides new insights on sex determination in fish. IINRAE, LPGP, Rennes, France Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland Swiss Inst Bioinformat, Lausanne, Switzerland Hunan Normal Univ, Coll Life Sci, State Key Lab Dev Biol Freshwater Fish, Changsha, Peoples R China Uppsala Univ, Dept Organismal Biol, Systemat Biol, Uppsala, Sweden Univ Montpellier, Inst Genom Fonct, INSERM, IGF,CNRS, Montpellier, France INRAE, Math & Informat Appl Toulouse, SIGENAE, Castanet Tolosan, France Univ Wurzburg, Physiol Chem, Bioctr, Wurzburg, Germany Texas State Univ, Xiphophorus Genet Stock Ctr, Dept Chem & Biochem, San Marcos, TX USA Univ Wurzburg, Dev Biochem, Bioctr, Wurzburg, Germany Univ Oregon, Inst Neurosci, Eugene, OR USA NOAA, Environm & Fisheries Sci Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA Sophia Univ, Fac Sci & Technol, Dept Mat & Life Sci, Tokyo, Japan Northeastern Univ, Ctr Marine Sci, Dept Marine & Environm Sci, Nahant, MA 01908 USA Sao Paulo State Univ, Inst Biosci, Dept Struct & Funct Biol, Reprod & Mol Biol Grp, Botucatu, SP, Brazil Tokyo Univ Marine Sci & Technol, Dept Aquat Marine Biosci, Tokyo, Japan Inst Marine Res, Bergen, Norway Chinese Acad Sci, Inst Hydrobiol, Beijing, Peoples R China IGB, Leibniz Inst Freshwater Ecol & Inland Fishe, Berlin, Germany Michigan State Univ, Dept Integrat Biol, Ecol Evolut & Behav Program, E Lansing, MI 48824 USA Sao Paulo State Univ, Inst Biosci, Dept Struct & Funct Biol, Reprod & Mol Biol Grp, Botucatu, SP, Brazil National Institute of Health (USA): R01GM085318 National Institute of Health (USA): R35GM139635 Deutsche Forschungsgemeinschaft: SCHA 408/10-1 National Science Foundation (USA) Office of Polar Programs: OPP-1543383 National Science Foundation (USA) Office of Polar Programs: PLR-1247510 National Science Foundation (USA) Office of Polar Programs: PLR-1444167 Agence Nationale de la Recherche: SCHA 408/10-1 Agence Nationale de la Recherche: ANR-10-INBS-09 Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung: PP00P3_170664
Published: 2021

23. Gene Banks as Reservoirs to Detect Recent Selection: The Example of the Asturiana de los Valles Bovine Breed

Author: Boitard, Simon, Paris, Cyriel, Sevane, Natalia, Servin, Bertrand, Bazi-Kabbaj, Kenza, Dunner, Susana, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European Project: 677353, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDV.GEN]Life Sciences [q-bio]/Genetics, cattle, [SDV]Life Sciences [q-bio], [SDV.BA]Life Sciences [q-bio]/Animal biology, Genetics, gene banks, nSL, time series, selection signatures, Original Research
Abstract: International audience; Gene banks, framed within the efforts for conserving animal genetic resources to ensure the adaptability of livestock production systems to population growth, income, and climate change challenges, have emerged as invaluable resources for biodiversity and scientific research. Allele frequency trajectories over the few last generations contain rich information about the selection history of populations, which cannot be obtained from classical selection scan approaches based on present time data only. Here we apply a new statistical approach taking advantage of genomic time series and a state of the art statistic (nSL) based on present time data to disentangle both old and recent signatures of selection in the Asturiana de los Valles cattle breed. This local Spanish originally multipurpose breed native to Asturias has been selected for beef production over the last few generations. With the use of SNP chip and whole-genome sequencing (WGS) data, we detect candidate regions under selection reflecting the effort of breeders to produce economically valuable beef individuals, e.g., by improving carcass and meat traits with genes such as MSTN , FLRT2 , CRABP2 , ZNF215 , RBPMS2 , OAZ2 , or ZNF609 , while maintaining the ability to thrive under a semi-intensive production system, with the selection of immune ( GIMAP7 , GIMAP4 , GIMAP8 , and TICAM1 ) or olfactory receptor ( OR2D2 , OR2D3 , OR10A4 , and 0R6A2 ) genes. This kind of information will allow us to take advantage of the invaluable resources provided by gene bank collections from local less competitive breeds, enabling the livestock industry to exploit the different mechanisms fine-tuned by natural and human-driven selection on different populations to improve productivity.
Published: 2021

24. Contrasting gene decay in subterranean vertebrates: insights from cavefishes and fossorial mammals

Author: Julien Fumey, Cédric Cabau, Corentin Dechaud, Sylvie Rétaux, Louis Bernatchez, Peter Møller, Magali Naville, Christophe Klopp, Claude Thermes, Erik García-Machado, Maxime Policarpo, Jean-Nicolas Volff, Philippe Lafargeas, Didier Casane, Delphine Naquin, Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Plateforme de séquençage à haut débit (NGS), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Génomique Fonctionnelle de Lyon (IGFL), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Natural History Museum of Denmark, Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Institut de Biologie Intégrative et des Systèmes [Québec] (IBIS), Centro de Investigaciones Marinas, Universidad de La Habana, Institut des Neurosciences Paris-Saclay (NeuroPSI), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ANR-16-CE92-0019,EVOBOOSTER,Impact des éléments transposables sur les réseaux de régulation génique : application aux voies biologiques à évolution rapide chez les poissons(2016), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), and University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)
Subjects: 0106 biological sciences, genetic structures, Pseudogene, [SDV]Life Sciences [q-bio], Population, relaxed selection, AcademicSubjects/SCI01180, 010603 evolutionary biology, 01 natural sciences, Genome, Lucifuga, 03 medical and health sciences, Cave, Loss of Function Mutation, Circadian Clocks, Genetics, Animals, Sinocyclocheilus, Selection, Genetic, education, Molecular Biology, Gene, molecular dating, Ecology, Evolution, Behavior and Systematics, Discoveries, Vision, Ocular, Zebrafish, eye-specific genes, 030304 developmental biology, cavefishes, 0303 health sciences, geography, education.field_of_study, geography.geographical_feature_category, biology, Pigmentation, Fossorial, AcademicSubjects/SCI01130, Fishes, biology.organism_classification, Moles, Caves, machine learning, Evolutionary biology, pseudogenization, Pseudogenes
Abstract: Evolution sometimes proceeds by loss, especially when structures and genes become dispensable after an environmental shift relaxes functional constraints. Subterranean vertebrates are outstanding models to analyze this process, and gene decay can serve as a readout. We sought to understand some general principles on the extent and tempo of the decay of genes involved in vision, circadian clock, and pigmentation in cavefishes. The analysis of the genomes of two Cuban species belonging to the genus Lucifuga provided evidence for the largest loss of eye-specific genes and nonvisual opsin genes reported so far in cavefishes. Comparisons with a recently evolved cave population of Astyanax mexicanus and three species belonging to the Chinese tetraploid genus Sinocyclocheilus revealed the combined effects of the level of eye regression, time, and genome ploidy on eye-specific gene pseudogenization. The limited extent of gene decay in all these cavefishes and the very small number of loss-of-function mutations per pseudogene suggest that their eye degeneration may not be very ancient, ranging from early to late Pleistocene. This is in sharp contrast with the identification of several vision genes carrying many loss-of-function mutations in ancient fossorial mammals, further suggesting that blind fishes cannot thrive more than a few million years in cave ecosystems.
Published: 2021

25. Using sequence variants of a QTL region improves the accuracy of genomic evaluation in French Saanen goats

Author: Talouarn, Estelle, Teissier, Marc, Bardou, Philippe, Larroque, Hélène, Clément, Virginie, Palhière, Isabelle, Tosser-Klopp, Gwenola, RUPP, Rachel, Robert-Granié, Christèle, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de l'élevage (IDELE), and French National Research Agency (ANR)Apis-GeneCASDARFranceAgriMerFrance Genetique ElevageFrench Ministry of Agriculture Agrifood, and ForestryEuropean 3SR projectMaxi'male (CASDAR)Occitanie regionFrench Research National Research Institute for Agriculture, Food and Environment (INRAE -Animal Genetic division)
Subjects: Genotype, Models, Genetic, Goats, Quantitative Trait Loci, Chromosome Mapping, Genetic Variation, Genomics, Polymorphism, Single Nucleotide, Linkage Disequilibrium, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Milk, Phenotype, Animals, ComputingMilieux_MISCELLANEOUS, Oligonucleotide Array Sequence Analysis
Abstract: The enhanced availability of sequence data in livestock provides an opportunity for more accurate predictions in routine genomic evaluations. Such evaluations would therefore no longer rely only on the linkage disequilibrium between a chip marker and the causal mutation. The objective of this study was to assess the usefulness of sequence data in Saanen goats (n = 33) to better capture a quantitative trait locus (QTL) on chromosome 19 (CHI19) and improve the accuracy of predictions for 3 milk production traits, 5 type traits, and somatic cell scores. All 1,207 50K genotypes were imputed to the sequence level. Four scenarios, each using a subset of CHI19 imputed variants, were then tested. Sequence-derived information included all CHI19 variants (529,576), all variants in the QTL region (22,269), 178 variants selected in the QTL region and added to an updated chip, or 178 randomly selected variants on CHI19. Two genomic evaluation models were applied: single-step genomic BLUP and weighted single-step genomic BLUP. All scenarios were compared with single-step genomic BLUP using 50K genotypes. Best overall results were obtained using single-step genomic BLUP on 50K genotypes completed with all variants in the QTL region of chromosome 19 (6.2% average increase in accuracy for 9 traits) with the highest accuracy gain for fat yield (17.9%), significant increases for milk (13.7%) and protein yields (12.5%), and type traits associated with CHI19. Despite its association with the QTL region of chromosome 19, the somatic cell score showed decreased accuracy in every alternative scenario. Using all CHI19 variants led to an overall decrease of 4.8% in prediction accuracy. The updated chip was efficient and improved genomic evaluations by 3.1 to 6.4% on average, depending on the scenario. Indeed, information from only a few carefully selected variants increased accuracies for traits of interest when used in a single-step genomic BLUP model. In conclusion, using QTL region variants imputed from sequence data in single-step genomic evaluations represents a promising perspective for such evaluations in dairy goats. Furthermore, using only a limited number of selected variants in QTL regions, as available on SNP chip updates, significantly increases the accuracy for QTL-associated traits without deteriorating the evaluation accuracy for other traits. The latter approach is interesting, as it avoids time-consuming imputation and data formatting processes and provides reliable genotypes.
Published: 2021

26. VarGoats project : a dataset of 1159 whole-genome sequences to dissect Capra hircus global diversity

Author: Denoyelle, L., Talouarn, E., Bardou, P., Colli, L., Alberti, A., Danchin, C., Del Corvo, M., Engelen, S., Orvain, C., Palhiere, I., Rupp, R., Sarry, J., Salavati, M., Amills, M., Clark, E., Crepaldi, P., Faraut, T., Masiga, C. W., Pompanon, F., Rosen, B. D., Stella, A., Van Tassell, C. P., Tosser-Klopp, G., Kijas, J., Guldbrandtsen, B., Kantanen, J., Duby, D., Martin, P., Duclos, D., Allain, D., Arquet, R., Mandonnet, N., Naves, M., Carolan, S., Foran, M., Crisa, A., Marletta, D., Ottino, M., Randi, E., Benjelloun, B., Lenstra, H., Moaeen-ud-Din, M., Reecy, J., Goyache, F., Alvarez, I., Capote, J., Jordana, J., Pons, A., Martinez, A., Molina, A., Rosen, B., Drogemuller, C., Luikart, G., Mruttu, H. A., Gondwe, T., Sikosana, J., Taela, M. D. G., Nash, O., Agence Nationale de la Recherche (France), Région Occitanie / Pyrénées-Méditerranée, Ministère de l’Enseignement supérieur et de la Recherche (France), Biotechnology and Biological Sciences Research Council (UK), Bill & Melinda Gates Foundation, Department for International Development (UK), Center for Tropical Studies and Conservation (US), University of Edinburgh, Scottish Government's Rural and Environment Science and Analytical Services, Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università cattolica del Sacro Cuore [Piacenza e Cremona] (Unicatt), Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Institut de l'élevage (IDELE), Università cattolica del Sacro Cuore [Milano] (Unicatt), The Roslin Institute, Biotechnology and Biological Sciences Research Council (BBSRC), Centre for Tropical Livestock Genetics and Health [Edimburgh] (CTLGH), Centre for Research in Agricultural Genomics (CRAG), Università degli Studi di Milano = University of Milan (UNIMI), Tropical Institute of Development Innovations (TRIDI), USDA Agricultural Research Service [Beltsville, Maryland], USDA-ARS : Agricultural Research Service, Consiglio Nazionale delle Ricerche [Milano] (CNR), CSIRO Agriculture and Food (CSIRO), Unité de Recherches Zootechniques (URZ), APIS-GENE, Occitanie region, Ministere de l'Enseignement superieur, de la Recherche et de l'Innovation, United States Agency for International Development (USAID), CGIAR:OPP1127286, ACTIVEGOAT & CAPRISNP projects, UK Research & Innovation (UKRI) : BBS/OS/GC/000012F, ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-11-INBS-0003,CRB-Anim,Réseau de Centres de Ressources Biologiques pour les animaux domestiques(2011), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), University of Milan, and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE)
Subjects: [SDV.BIO]Life Sciences [q-bio]/Biotechnology, [SDV]Life Sciences [q-bio], Short Communication, Single-nucleotide polymorphism, 610 Medicine & health, Biology, QH426-470, Genome, SF1-1100, Domestication, Animals, Domestication, Genetic Variation, Genomics, Goats, Genome, Genome-Wide Association Study, 03 medical and health sciences, Capra hircus, Genetics, Animals, Indel, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genetic association, 2. Zero hunger, 0303 health sciences, Genetic diversity, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, Settore AGR/17 - ZOOTECNICA GENERALE E MIGLIORAMENTO GENETICO, 630 Agriculture, Goats, 0402 animal and dairy science, Genetic Variation, 04 agricultural and veterinary sciences, General Medicine, Genomics, 15. Life on land, 040201 dairy & animal science, Animal culture, Evolutionary biology, 570 Life sciences, biology, 590 Animals (Zoology), Animal Science and Zoology, Reference genome, Genome-Wide Association Study
Abstract: [Background]: Since their domestication 10,500 years ago, goat populations with distinctive genetic backgrounds have adapted to a broad variety of environments and breeding conditions. The VarGoats project is an international 1000-genome resequencing program designed to understand the consequences of domestication and breeding on the genetic diversity of domestic goats and to elucidate how speciation and hybridization have modeled the genomes of a set of species representative of the genus Capra., [Findings]: A dataset comprising 652 sequenced goats and 507 public goat sequences, including 35 animals representing eight wild species, has been collected worldwide. We identified 74,274,427 single nucleotide polymorphisms (SNPs) and 13,607,850 insertion-deletions (InDels) by aligning these sequences to the latest version of the goat reference genome (ARS1). A Neighbor-joining tree based on Reynolds genetic distances showed that goats from Africa, Asia and Europe tend to group into independent clusters. Because goat breeds from Oceania and Caribbean (Creole) all derive from imported animals, they are distributed along the tree according to their ancestral geographic origin., [Conclusions]: We report on an unprecedented international effort to characterize the genome-wide diversity of domestic goats. This large range of sequenced individuals represents a unique opportunity to ascertain how the demographic and selection processes associated with post-domestication history have shaped the diversity of this species. Data generated for the project will also be extremely useful to identify deleterious mutations and polymorphisms with causal effects on complex traits, and thus will contribute to new knowledge that could be used in genomic prediction and genome-wide association studies., We are grateful to France Génomique “Call for high impact projects” (ANR‐10‐INBS‐09‐08) for selecting our project and providing us the resources to sequence 400 goats. We would like to mention that APIS-GENE funded some WGS sequences through ACTIVEGOAT & CAPRISNP projects. We thank the Occitanie region and the Animal Genetics Division of the French National Institute for Agriculture, Food and Environment (INRAE-GA) for financing the PhD of ET. We thank the Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation for financing LD. We thank André Eggen (Illumina) for providing chips to genotype 192 animals. We thank the Animal Genetics Division of the French National Institute for Agriculture, Food and Environment (INRAE-GA) for funding VarGoats2 grant, which allowed DNA extraction and genotyping of 384 animals and CRB-Anim, Grant Agreement ANR-11-INBS-0003, (https://crb-anim.fr/) for funding French local breeds sampling. We thank the Italian Goat and Sheep Breeders Association (AssoNaPa) for supporting in sampling. Whole-genome sequencing libraries for the African goats were prepared and sequenced by Edinburgh Genomics and funded via Biotechnology and Biological Sciences Research Council research grant (BBS/OS/GC/000012F) ‘Reference genome and population sequencing of African goats’ awarded to The Roslin Institute. USDA-ARS with funding from USAID funded the collection of samples from Uganda, Tanzania, Malawi, Mozambique and Zimbabwe. EC and MS were partially supported by the Bill & Melinda Gates Foundation and with UK aid from the UK Government’s Department for International Development (Grant Agreement OPP1127286) under the auspices of the Centre for Tropical Livestock Genetics and Health (CTLGH), established jointly by the University of Edinburgh, SRUC (Scotland’s Rural College), and the International Livestock Research Institute. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation nor the UK Government.
Published: 2021

27. Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions

Author: Sebas E. Ramos-Onsins, Yoel Rodríguez-Valera, Lino C. Ramírez-Ayala, Jordi Leno-Colorado, Mathieu Charles, Yuliaxis Ramayo-Caldas, Miguel Pérez-Enciso, Dominique Rocha, Olivier Bouchez, Centre for Research in Agricultural Genomics (CRAG), Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Universidad de Granma (UDG), Institució Catalana de Recerca i Estudis Avançats (ICREA), Institute of Agrifood Research and Technology (IRTA), MINECO AGL2016-78709-R, European Commission BFU2016-77236-P, Centro de Excelencia Severo Ochoa 2016-2019 SEV-2015-0533, Animal Genetics Division of INRAE as part of the CHACUBA project, France Embassy in Havana (Cuba), 'Don Carlos Antonio Lopez' Graduate program (BECAL) from Paraguay, European Project: 6655919,P-Sphere, Ministerio de Economía y Competitividad (España), Programa Nacional de Becas de Postgrado en el Exterior 'Don Carlos Antonio López' (Paraguay), European Commission, l’Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (France), Agencia Estatal de Investigación (España), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Producció Animal, Genètica i Millora Animal, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA)
Subjects: Thermotolerance, Genotype, lcsh:QH426-470, [SDV]Life Sciences [q-bio], biology.animal_breed, Population, ved/biology.organism_classification_rank.species, Introgression, 03 medical and health sciences, CHFR, Genetics, Animals, Animal Fur, education, Ecology, Evolution, Behavior and Systematics, lcsh:SF1-1100, 030304 developmental biology, Tropical Climate, 0303 health sciences, education.field_of_study, Genetic diversity, Polymorphism, Genetic, Whole Genome Sequencing, biology, ved/biology, Taurine cattle, Homozygote, Haplotype, 0402 animal and dairy science, Thermogenesis, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, lcsh:Genetics, Haplotypes, Evolutionary biology, Cattle, Animal Science and Zoology, lcsh:Animal culture, Adaptation, Charolais cattle, Research Article
Abstract: MPE and SERO were funded by MINECO grant AGL2016-78709-R and from the EU through the BFU2016-77236-P (MINECO/AEI/FEDER, EU) and the “Centro de Excelencia Severo Ochoa 2016-2019″ award SEV-2015-0533. LCRA is funded by “Don Carlos Antonio López” Graduate program (BECAL) from Paraguay. YRC was funded by the European Union H2020 Research and Innovation programme under Marie Skłodowska-Curie grant (P-Sphere) agreement No 6655919. This work was partially funded by the Animal Genetics Division of INRAE as part of the CHACUBA project. Y. Rodriguez-Valera was funded by the France Embassy in Havana (Cuba) and INRAE.
Published: 2021

28. Watch out for a second SNP: focus on multi-nucleotide variants in coding regions and rescued stop-gained

Author: Fabien Degalez, Frédéric Jehl, Kévin Muret, Maria Bernard, Frédéric Lecerf, Laetitia Lagoutte, Colette Désert, Frédérique Pitel, Christophe Klopp, Sandrine Lagarrigue, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), French institutions Institut Agro (AGROCAMPUS OUEST) and INRAE [Fr-AgENCODE project (2015–2017) and ELASTICe project (2012)]. FJ, FD, and KM were Ph.D. fellows supported by the Brittany region (France) and the INRAE Animal Genetics division. These funding bodies had no role in the design of the study, in the collection, analysis, and interpretation of data, or in the writing of the manuscript., ANR-11-BSV7-0004,FatInteger,Recherche de régulateurs clefs de la plasticité lipidique chez deux espèces monogastriques majeures (porc et poule) en combinant des données haut débit et des approches statistique, bioinformatique et phylogénique.(2011), ANR-13-ADAP-0014,ChickStress,Mécanismes d'adaptation à la chaleur et à un aliment suboptimal chez la poule pondeuse(2013), ANR-09-GENM-0004,EpiBird,Analyse Epigénétique chez les Oiseaux(2009), European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: SNP, MNV, Single-nucleotide polymorphism, Computational biology, QH426-470, Biology, 03 medical and health sciences, 0302 clinical medicine, FATP4, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], SLC27A4, rescued stop-gained, Genetics, Coding region, Missense mutation, Gene, Genetics (clinical), Original Research, 030304 developmental biology, 0303 health sciences, [SDV.GEN]Life Sciences [q-bio]/Genetics, multi-nucleotide variants (MNV), Potential effect, Molecular Medicine, variation, 030217 neurology & neurosurgery
Abstract: Most single-nucleotide polymorphisms (SNPs) are located in non-coding regions, but the fraction usually studied is harbored in protein-coding regions because potential impacts on proteins are relatively easy to predict by popular tools such as the Variant Effect Predictor. These tools annotate variants independently without considering the potential effect of grouped or haplotypic variations, often called “multi-nucleotide variants” (MNVs). Here, we used a large RNA-seq dataset to survey MNVs, comprising 382 chicken samples originating from 11 populations analyzed in the companion paper in which 9.5M SNPs— including 3.3M SNPs with reliable genotypes—were detected. We focused our study on in-codon MNVs and evaluate their potential mis-annotation. Using GATK HaplotypeCaller read-based phasing results, we identified 2,965 MNVs observed in at least five individuals located in 1,792 genes. We found 41.1% of them showing a novel impact when compared to the effect of their constituent SNPs analyzed separately. The biggest impact variation flux concerns the originally annotated stop-gained consequences, for which around 95% were rescued; this flux is followed by the missense consequences for which 37% were reannotated with a different amino acid. We then present in more depth the rescued stop-gained MNVs and give an illustration in the SLC27A4 gene. As previously shown in human datasets, our results in chicken demonstrate the value of haplotype-aware variant annotation, and the interest to consider MNVs in the coding region, particularly when searching for severe functional consequence such as stop-gained variants.
Published: 2021

29. Th17-related mammary immunity, but not a high systemic Th1 immune response is associated with protection against E. coli mastitis

Author: Cebron, Nathan, Maman, Sarah, Walachowski, Sarah, Gausserès, Blandine, Cunha, Patricia, RAINARD, Pascal, Foucras, Gilles, Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Infectiologie et Santé Publique (UMR ISP), Université de Tours (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), This work was essentially supported by a grant from Agence Nationale de la Recherche (ANR) ANIHWA in the project KOlimastIR (ANR-13-ANWA-0003). N.C. received a fellowship from Apis-Gene (MASTIM project) and Occitanie region (Transcriptovac project)., ANR-13-ANWA-0003,KOlimastIR,Controlling the impact of Escherichia coli mastitis through modulation of immune responses(2013), and Université de Tours-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: Vaccines, mammary immunity, mammite bovine, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV]Life Sciences [q-bio], [SDV.BA]Life Sciences [q-bio]/Animal biology, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC581-607, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Article, immunité mammaire, [SDV.IMM]Life Sciences [q-bio]/Immunology, Bacterial infection, Immunologic diseases. Allergy, RC254-282, bovine mastitis
Abstract: International audience; Vaccination against bovine mastitis lags behind despite high demand from the dairy industry and margin for efficacy improvement. We previously compared two immunization protocols against E. coli using either only the intramuscular route or a combination of intramuscular and mammary ductal routes, also known as 'prime and pull' strategy. A homologous mammary challenge during the memory phase showed that immunization favorably modified the mastitis course, notably in locally immunized cows in comparison to intramuscular and control adjuvant-only groups. Here, we performed whole-blood profiling through RNA-seq transcriptome and plasma cytokine 15-plex analyses at time points of the E. coli mastitis that showed significant clinical and laboratory differences among the groups. Diminished production of inflammatory cytokines and increased IFN gamma were detected in the blood of immunized cows, where a T lymphocyte activation profile was evidenced at 12-h post infection. Acute phase neutropenia was less severe in these cows, and pathways related to neutrophil diapedesis and monocyte activation were also present. Furthermore, three intramammary-immunized cows showing faster healing and shorter mastitis duration had gene profiles that differed from their counterparts, but without any clue for the mastitis susceptibility difference. Inasmuch, when gene expression of CD4 T cells was assessed in mammary tissue, enrichment of IL-17-associated pathways was identified in the quarters of intramammary-immunized cows not only after challenge but also in the control quarters that were not infected. These findings indicate that local immunization mobilizes protective mechanisms that rely on the settlement of type 3 immunity-related CD4 T cells prior to infection.
Published: 2020

30. Survey of mitochondrial sequences integrated into the bovine nuclear genome

Author: Grau, Erwin Tramontin, Charles, Mathieu, Féménia, Maureen, Rebours, Emmanuelle, Vaiman, Anne, Rocha, Dominique, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and French National Institute for Agricultural Research (INRA)
Subjects: Cell Nucleus, Gene Rearrangement, Genome, [SDV.BA]Life Sciences [q-bio]/Animal biology, lcsh:R, lcsh:Medicine, DNA, Mitochondrial, Polymerase Chain Reaction, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Article, Genome evolution, Mitochondria, Mitochondrial genome, Genome, Mitochondrial, Animals, Cattle, lcsh:Q, lcsh:Science, Repetitive Sequences, Nucleic Acid
Abstract: International audience; Abstract Nuclear copies of the mitochondrial DNA (NUMTs) have already been described in several species. In this context, we identified and analysed 166 bovine NUMT regions with a total length of 430 kbp, representing about 0.02% of the cattle nuclear genome. Copies of all mitochondrial regions were detected in the nuclear genome, with distinct degrees of sequence similarity to the mitogenome. Some NUMT regions include large mitogenome segments and show high similarity to the organelle genome sequence. NUMT regions are frequently modified by insertion of repetitive sequences and by sequence rearrangements. We confirmed the existence of 29 NUMT regions by PCR amplification using DNA from the cow (Dominette) which was used to generate the bovine genome reference sequence, ruling out the possibility that these NUMTs could be artifacts of the genome assembly. As there are NUMT regions with high similarity to the mitogenome, special care is needed when designing primers for mitochondrial DNA amplification. Our results can therefore be used to avoid co-amplification of bovine nuclear sequences similar to mitochondrial DNA.
Published: 2020

31. Genetic determinism of spontaneous masculinisation in XX female rainbow trout: new insights using medium throughput genotyping and whole-genome sequencing

Author: Charles Poncet, Florent Petitprez, Maria Bernard, Edwige Quillet, Chris Hoze, Nicolas Dechamp, Philippe Hocdé, Anastasia Bestin, Céline Ciobotaru, Yann Guiguen, Pierrick Haffray, Marine Milhes, Florence Phocas, Olivier Bouchez, Jérôme Lluch, Clémence Fraslin, Mathieu Charles, Francine Krieg, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Edinburgh, Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Allice, Ligue Nationale Contre le Cancer - Paris, Ligue Nationale Contre le Cancer (LNCC), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Pisciculture Charles Murgat, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European Maritime and Fisheries Fund and France Agrimer co-funded this work (NeoBio project, n° RFEA470016FA1000008), Ligue Nationnale Contre le Cancer, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Subjects: 0106 biological sciences, 0301 basic medicine, Male, Candidate gene, QTL, animal diseases, [SDV]Life Sciences [q-bio], Masculinisation des poissons, Genome-wide association study, heritability, 01 natural sciences, Genome-wide association studies, Genetics, 0303 health sciences, education.field_of_study, Multidisciplinary, biology, Reproduction, 04 agricultural and veterinary sciences, Genomics, Poisson, Trout, Phenotype, Oncorhynchus mykiss, maleness, Medicine, Female, Sex, Maleness, Heterogametic sex, endocrine system, animal structures, Genotype, Science, Population, Quantitative trait locus, Déterminisme génétique du sexe, 010603 evolutionary biology, Article, Heritability, 03 medical and health sciences, Salmonide, Genetic variation, sex, Animals, 14. Life underwater, education, 030304 developmental biology, Genetic association, Animal breeding, fish, Whole Genome Sequencing, urogenital system, Truite arc-en-ciel, 0402 animal and dairy science, Sex Determination Processes, biology.organism_classification, 040201 dairy & animal science, 030104 developmental biology, Fish, Rainbow trout, Sequençage
Abstract: Rainbow trout has a male heterogametic (XY) sex determination system controlled by a major sex-determining gene, sdY. Unexpectedly, a few phenotypically masculinised fish are regularly observed in all-female farmed trout stocks. To better understand the genetic determinism underlying spontaneous maleness in XX-rainbow trout, we recorded the phenotypic sex of 20,210 XX-rainbow trout from a French farm population at 10 and 15 months post-hatching. The overall masculinisation rate was 1.45%. We performed two genome-wide association studies (GWAS) on a subsample of 1139 individuals classified as females, intersex or males using either medium-throughput genotyping (31,811 SNPs) or whole-genome sequencing (WGS, 8.7 million SNPs). The genomic heritability of maleness ranged between 0.48 and 0.62 depending on the method and the number of SNPs used for the estimation. At the 31K SNPs level, we detected four QTL on three chromosomes (Omy1, Omy12 and Omy20). Using WGS information, we narrowed down the positions of the two QTL detected on Omy1 to 96 kb and 347 kb respectively, with the second QTL explaining up to 14% of the total genetic variance of maleness. Within this QTL, we detected three putative candidate genes, fgfa8, cyp17a1 and an uncharacterised protein (LOC110527930), which might be involved in spontaneous maleness of XX-female rainbow trout.
Published: 2020

32. Siberian sturgeon multi-tissue reference transcriptome database

Author: Santiago Di Landro, Denise Vizziano-Cantonnet, André Lasalle, Cédric Cabau, Gonzalo Greif, Christophe Klopp, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Molecular Biology / Biología Molecular [Montevideo], Institut Pasteur de Montevideo, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Universidad de la República (UDELAR), Comision Sectorial de Investigacion Cientifica (CSIC), Universidad de la Republica Oriental del Uruguay (C225-348), Agencia Nacional de Investigacion e Innovacion-Direccion Nacional de Recursos Acuaticos ANIIDINARA (FPA 9 975), Agencia Nacional de Investigacion e Innovacion (FMV_1_2017_1_135 908), Klopp C., Cabau Cédric, Greif Gonzalo, Instituto Pasteur (Montevideo), Lasalle Gerla André Eduardo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., Di Landro Francis Santiago, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., and Vizziano-Cantonnet Denise, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.
Subjects: Food intake, Fish farming, Biology, Acipenser baerii, computer.software_genre, General Biochemistry, Genetics and Molecular Biology, Transcriptome, 03 medical and health sciences, Sturgeon, Siberian sturgeon, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Animals, Functional studies, Transcriptomics, 030304 developmental biology, Supplementary data, 0303 health sciences, Genome, Database, Sequence Analysis, RNA, Gene Expression Profiling, 030302 biochemistry & molecular biology, Fishes, RNA sequencing, AcademicSubjects/SCI00960, Original Article, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], General Agricultural and Biological Sciences, computer, Functional genomics, Sequence Analysis, Information Systems, Reference genome
Abstract: Motivation: Siberian sturgeon is a long lived and late maturing fish farmed for caviar production in 50 countries. Functional genomics enable to find genes of interest for fish farming. In the absence of a reference genome, a reference transcriptome is very useful for sequencing based functional studies. Results: We present here a high-quality transcriptome assembly database built using RNA-seq reads coming from brain, pituitary, gonadal, liver, stomach, kidney, anterior kidney, heart, embryonic and pre-larval tissues. It will facilitate crucial research on topics such as puberty, reproduction, growth, food intake and immunology. This database represents a major contribution to the publicly available sturgeon transcriptome reference datasets. Availability: The database is publicly available at http://siberiansturgeontissuedb.sigenae.org Supplementary information: Supplementary data are available at Database online.
Published: 2020

33. An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues

Author: Frédéric Jehl, Kévin Muret, Maria Bernard, Morgane Boutin, Laetitia Lagoutte, Colette Désert, Patrice Dehais, Diane Esquerré, Hervé Acloque, Elisabetta Giuffra, Sarah Djebali, Sylvain Foissac, Thomas Derrien, Frédérique Pitel, Tatiana Zerjal, Christophe Klopp, Sandrine Lagarrigue, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche en Santé Digestive (IRSD ), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Brittany region, INRAE Animal Genetics division, INRA experimental poultry unit (UE1295 PEAT), ANR-11-BSV7-0004,FatInteger,Recherche de régulateurs clefs de la plasticité lipidique chez deux espèces monogastriques majeures (porc et poule) en combinant des données haut débit et des approches statistique, bioinformatique et phylogénique.(2011), ANR-13-ADAP-0014,ChickStress,Mécanismes d'adaptation à la chaleur et à un aliment suboptimal chez la poule pondeuse(2013), European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Acloque, Hervé, BLANC - Recherche de régulateurs clefs de la plasticité lipidique chez deux espèces monogastriques majeures (porc et poule) en combinant des données haut débit et des approches statistique, bioinformatique et phylogénique. - - FatInteger2011 - ANR-11-BSV7-0004 - BLANC - VALID, Adaptation : des gènes aux populations. Génétique et biologie de l'adaptation aux stress et aux perturbations - Mécanismes d'adaptation à la chaleur et à un aliment suboptimal chez la poule pondeuse - - ChickStress2013 - ANR-13-ADAP-0014 - BIOADAPT - VALID, and Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems - Feed-a-Gene - - H20202015-03-01 - 2020-02-29 - 633531 - VALID
Subjects: animal structures, Science, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Article, Avian Proteins, Atlases as Topic, Genetics, Animals, Gene Regulatory Networks, Tissue Distribution, Author Correction, [SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy, Genome, Sequence Analysis, RNA, Gene Expression Profiling, Computational Biology, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Molecular Sequence Annotation, Functional genomics, Genomics, Gene regulation, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, MicroRNAs, Gene Expression Regulation, Organ Specificity, Medicine, RNA, Long Noncoding, Gene expression, Chickens
Abstract: International audience; Long non-coding RNAs (LNC) regulate numerous biological processes. In contrast to human, the identification of LNC in farm species, like chicken, is still lacunar. We propose a catalogue of 52,075 chicken genes enriched in LNC (http://www.frage ncode .org/), built from the Ensembl reference extended using novel LNC modelled here from 364 RNA-seq and LNC from four public databases. The Ensembl reference grew from 4,643 to 30,084 LNC, of which 59% and 41% with expression ≥ 0.5 and ≥ 1 TPM respectively. Characterization of these LNC relatively to the closest protein coding genes (PCG) revealed that 79% of LNC are in intergenic regions, as in other species. Expression analysis across 25 tissues revealed an enrichment of co-expressed LNC:PCG pairs, suggesting co-regulation and/or co-function. As expected LNC were more tissue-specific than PCG (25% vs. 10%). Similarly to human, 16% of chicken LNC hosted one or more miRNA. We highlighted a new chicken LNC, hosting miR155, conserved in human, highly expressed in immune tissues like miR155, and correlated with immunity-related PCG in both species. Among LNC:PCG pairs tissue-specific in the same tissue, we revealed an enrichment of divergent pairs with the PCG coding transcription factors, as for example LHX5, HXD3 and TBX4, in both human and chicken.
Published: 2020

34. European Honeybee Subspecies Genomes at the Individual and Population Levels

Author: Alain Vignal, Benjamin Basso, Kaspar Bienefeld, Kamila Canale-Tabet, Cecilia Costa, Cecile Donnadieu, Sonia Eynard, Aleš Gregorc, Christophe Klopp, Melanie Parejo, Maria Alice Pinto, Yves Le Conte, Bertrand Servin, David Wragg, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Technique et Scientifique de l'Apiculture et de la Pollinisation (ITSAP-Institut de l'Abeille), Abeilles et Environnement (AE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bee Research Institute, F.-Engels-Straße 32, 16540 Hohen Neuendorf, Germany, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Maribor, Sigenae, MIAT, INRA, Castanet Tolosan, France, Agroscope, Universidad del País Vasco / Euskal Herriko Unibertsitatea | UPV/EHU · Departamento de Genética, Antropología Física y Fisiología Animal, Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Bragança, Portugal, The Roslin Institute, University of Edinburgh, Midlothian, United Kingdom, Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
Subjects: [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]
Abstract: International audience; Throughout western Europe, the endemic honeybee subspecies Apis mellifera mellifera, the black bee, has gradually been replaced in many beekeeper operations by other subspecies and hybrids of A. m. ligustica, A. m. carnica, A.m. caucasica, (C-type bees) and A. m. mellifera (M-type bees), which were found to be more efficient producers of honey or royal jelly, and also to be less aggressive. In order to understand the impact of these practices on the genomes of bee populations we followed two complementary approaches. The first was to produce a high-continuity reference genome for M-type bees by PacBio sequencing, for comparison with the current Amel_HAv3.1 reference-a C-type bee. A single haploid drone from a closed population was selected for sequencing and the overall genome assembly obtained is 227 Mb for the 16 chromosomes. The longest contig obtained is 11.6 Mb, the N50 contig size is 5.1 Mb and chromosome 16 was obtained as a single 7.2 Mb contig. Contigs were ordered along chromosomes by minimizing genetic recombination. Comparison with Amel_HAv3.1 allowed the high confidence detection of inversions between the two reference genomes. Long-read sequencing also allowed the discovery of new highly repeated elements. The second approach is the sequencing of several hundred haploid drones from separate colonies, which includes black bee conservatories, French queen breeders (honey and royal jelly production) as well as out-groups from various European regions from where genetic stock is imported for breeding purposes. Varying degrees of admixture between the M-and C-type bees are observed, often reflecting different breeding practices. Regions of high differentiation between the two genetic types are also detected.
Published: 2020

35. Multi-tissue Siberian sturgeon RNA sequencing data

Author: Gonzalo Greif, Christophe Klopp, Cédric Cabau, Denise Vizziano-Cantonnet, Santiago Di Landro, André Lasalle, Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Univ Republ Oriental Uruguay, Inst Biol, Fac Ciencias, Lab Fisiol Reprod & Ecol Peces, Inst Pasteur Montevideo, Lab Interacc Hospedero Patogeno, Unidad Biol Mol, Comision Sectorial de Investigacion Cientifica (CSIC), Universidad de la Republica Oriental del Uruguay-Uruguay - C225-348, Agencia Nacional de Investigacion e Innovacion-Direccion Nacional de Recursos Acuaticos ANII-DINARA-Uruguay - FPA 9975, Agencia Nacional de Investigacion e Innovacion - FMV_1_2017_1_135908, Klopp C., Cabau Cédric, Institut Pasteur (Uruguay), Lasalle Gerla André Eduardo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., Di Landro Francis Santiago, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., Greif Gonzalo, Institut Pasteur (Uruguay), and Vizziano-Cantonnet Denise, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.
Subjects: Gonad, media_common.quotation_subject, Zoology, Biology, lcsh:Computer applications to medicine. Medical informatics, Kidney, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Sturgeon, Siberian sturgeon, Aquaculture, Agricultural and Biological Science, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], medicine, Brain-pituitary-gonad axis, 14. Life underwater, lcsh:Science (General), Transcriptomics, Anterior-kidney, 030304 developmental biology, media_common, 0303 health sciences, Multidisciplinary, business.industry, Flesh, Stomach, Embryos, Embryo, Acipenser baerii, biology.organism_classification, medicine.anatomical_structure, Liver, lcsh:R858-859.7, Reproduction, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, 030217 neurology & neurosurgery, lcsh:Q1-390
Abstract: International audience; Siberian sturgeon, Acipenser baerii, is a commercially valuable fish for flesh and caviar production and a threatened species. We produced transcriptomic data for ten tissues with relevance to puberty, reproduction, early development, growth and food intake. The data includes RNA-Seq read sets of brain, pituitary, anterior-kidney, kidney, stomach, liver, heart, embryonic, pre-larval, and immature gonad sequences. Tissues were collected from sex differentiated fish (17 to 42 months of age, 66 to 85 cm) RNA was extracted and sequenced. Our purpose is to facilitate fundamental studies of sturgeon physiology to wild and aquaculture populations management. (C) 2020 The Author(s). Published by Elsevier Inc.
Published: 2020

36. Synteny-Guided Resolution of Gene Trees Clarifies the Functional Impact of Whole-Genome Duplications

Author: Alexandra Louis, Camille Berthelot, Cédric Cabau, Yann Guiguen, Hugues Roest Crollius, Elise Parey, Institut de biologie de l'ENS Paris (IBENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), Département de Biologie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), This work is funded by ANR GenoFish (Grant No. ANR-16-CE12-0035), and was supported by grants from the French Government and implemented by ANR (ANR–10–LABX–54 MEMOLIFE and ANR–10–IDEX–0001– 02 PSL* Universite Paris), ANR-16-CE12-0035,GenoFish,Evolution des génes et des génomes après duplication compléte(2016), ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Département de Biologie - ENS Paris, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Unité de Biométrie et Intelligence Artificielle de Toulouse [Castanet-Tolosan] (UBIA), Plateforme bioinformatique du GIS GENOTOUL - Génopole Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Corvaisier, Maryse, Evolution des génes et des génomes après duplication compléte - - GenoFish2016 - ANR-16-CE12-0035 - AAPG2016 - VALID, Initiative d'excellence - Paris Sciences et Lettres - - PSL2010 - ANR-10-IDEX-0001 - IDEX - VALID, École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL)
Subjects: [SDV]Life Sciences [q-bio], Biology, Genome, Polyploidy, 03 medical and health sciences, whole-genome duplications, 0302 clinical medicine, Molecular evolution, Chromosome Duplication, Genetics, Animals, Gene family, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Clade, Molecular Biology, Gene, Phylogeny, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Synteny, 0303 health sciences, [SDV.GEN]Life Sciences [q-bio]/Genetics, Phylogenetic tree, molecular evolution, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], synteny, Fishes, Biological Evolution, [SDV] Life Sciences [q-bio], Evolvability, Genetic Techniques, Evolutionary biology, Multigene Family, gene phylogeny, Algorithms, 030217 neurology & neurosurgery
Abstract: Whole-genome duplications (WGDs) have major impacts on the evolution of species, as they produce new gene copies contributing substantially to adaptation, isolation, phenotypic robustness, and evolvability. They result in large, complex gene families with recurrent gene losses in descendant species that sequence-based phylogenetic methods fail to reconstruct accurately. As a result, orthologs and paralogs are difficult to identify reliably in WGD-descended species, which hinders the exploration of functional consequences of WGDs. Here, we present Synteny-guided CORrection of Paralogies and Orthologies (SCORPiOs), a novel method to reconstruct gene phylogenies in the context of a known WGD event. WGDs generate large duplicated syntenic regions, which SCORPiOs systematically leverages as a complement to sequence evolution to infer the evolutionary history of genes. We applied SCORPiOs to the 320-My-old WGD at the origin of teleost fish. We find that almost one in four teleost gene phylogenies in the Ensembl database (3,394) are inconsistent with their syntenic contexts. For 70% of these gene families (2,387), we were able to propose an improved phylogenetic tree consistent with both the molecular substitution distances and the local syntenic information. We show that these synteny-guided phylogenies are more congruent with the species tree, with sequence evolution and with expected expression conservation patterns than those produced by state-of-the-art methods. Finally, we show that synteny-guided gene trees emphasize contributions of WGD paralogs to evolutionary innovations in the teleost clade.
Published: 2020

37. Global transmission, spatial segregation, and recombination determine the long-term evolution and epidemiology of bovine coronaviruses

Author: Vijaykrishna Dhanasekaran, Hervé Cassard, Sarah Maman, Mariette F. Ducatez, Elias Salem, Ben M. Hause, Gilles Meyer, Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Monash University [Melbourne], Duke-NUS Medical School [Singapore], Emerging Infectious Diseases Program, Kansas State University, Department of Diagnostic Medicine and Pathobiology, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and This work was supported by the 'RESPICARE' grant of the Institut Carnot Sante Animale (ICSA), and by the French Ministry of Agriculture. Elias Salem was supported by a PhD scholarship of the Lebanese University.
Subjects: 0301 basic medicine, Gastrointestinal Diseases, 040301 veterinary sciences, lcsh:QR1-502, Cattle Diseases, Genome, Viral, Biology, Genome, Article, lcsh:Microbiology, Virus, Evolution, Molecular, 0403 veterinary science, 03 medical and health sciences, Phylogenetics, Virology, Animals, Selection, Genetic, Molecular clock, Respiratory Tract Infections, Gene, Phylogeny, Bovine coronavirus, Coronavirus, Bovine, Genetic diversity, Geography, molecular clock, 04 agricultural and veterinary sciences, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], recombination, 3. Good health, Genetic divergence, bovine coronavirus, geographic clustering, Viral Tropism, 030104 developmental biology, Infectious Diseases, Evolutionary biology, Cattle, France, Coronavirus Infections
Abstract: Bovine coronavirus (BCoV) is widespread in cattle and wild ruminant populations throughout the world. The virus causes neonatal calf diarrhea and winter dysentery in adult cattle, as well as upper and lower respiratory tract infection in young cattle. We isolated and deep sequenced whole genomes of BCoV from calves with respiratory distress in the south&ndash, west of France and conducted a comparative genome analysis using globally collected BCoV sequences to provide insights into the genomic characteristics, evolutionary origins, and global diversity of BCoV. Molecular clock analyses allowed us to estimate that the BCoV ancestor emerged in the 1940s, and that two geographically distinct lineages diverged from the 1960s&ndash, 1970s. A recombination event in the spike gene (breakpoint at nt 1100) may be at the origin of the genetic divergence sixty years ago. Little evidence of genetic mixing between the spatially segregated lineages was found, suggesting that BCoV genetic diversity is a result of a global transmission pathway that occurred during the last century. However, we found variation in evolution rates between the European and non-European lineages indicating differences in virus ecology.
Published: 2020

38. Deciphering the molecular mechanisms of pesticide tolerance of the soil engineer biodiversity

Author: Barranger, Audrey, Klopp, Christophe, Le Bot, Barbara, Saramito, Gaëlle, Lavigne, Régis, Llopis, Stéphanie, Com, Emmanuelle, Binet, Françoise, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de la Recherche Agronomique (INRA), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Laboratoire d'étude et de recherche en environnement et santé (LERES), École des Hautes Études en Santé Publique [EHESP] (EHESP), Plateforme Protéomique-Biogenouest (PPB), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Proteomics Core Facility (Protim), Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Plateforme Génomique Santé Biogenouest®, SETAC, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Proteomics Core Facility (Protim), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-Plateforme Génomique Santé Biogenouest®, and Briand, Valerie
Subjects: [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2020

39. CSA: A high-throughput chromosome-scale assembly pipeline for vertebrate genomes

Author: Kuhl, Heiner, Li, Ling, Wuertz, Sven, Stöck, Matthias, Liang, Xu-Fang, Klopp, Christophe, Department of Ecophysiology and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Leibnitz-Leibnitz, College of Fisheries, Chinese Perch Research Center,Huazhong Agricultural University, Innovation Base for Chinese Perch Breeding, Key Lab of Freshwater AnimalBreeding, Ministry of Agriculture, Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), and German Research Foundation (DFG) - KU 3596/1-1324050651
Subjects: chromosomes, AcademicSubjects/SCI02254, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, Sequence Analysis, DNA, genome scaffolding, long-read, comparative genomics, genome evolution, Synteny, SEQUENCE, EVOLUTION, INSIGHTS, SIZE, vertebrates, genome assembly, [SDE]Environmental Sciences, Technical Note, AcademicSubjects/SCI00960, Animals, CONSERVED SYNTENY, [INFO]Computer Science [cs], Software
Abstract: International audience; Background: Easy-to-use and fast bioinformatics pipelines for long-read assembly that go beyond the contig level to generate highly continuous chromosome-scale genomes from raw data remain scarce. Results: Chromosome-Scale Assembler (CSA) is a novel computationally highly efficient bioinformatics pipeline that fills this gap. CSA integrates information from scaffolded assemblies (e.g., Hi-C or 10X Genomics) or even from diverged reference genomes into the assembly process. As CSA performs automated assembly of chromosome-sized scaffolds, we benchmark its performance against state-of-the-art reference genomes, i.e., conventionally built in a laborious fashion using multiple separate assembly tools and manual curation. CSA increases the contig lengths using scaffolding, local re-assembly, and gap closing. On certain datasets, initial contig N50 may be increased up to 4.5-fold. For smaller vertebrate genomes, chromosome-scale assemblies can be achieved within 12 h using low-cost, high-end desktop computers. Mammalian genomes can be processed within 16 h on compute-servers. Using diverged reference genomes for fish, birds, and mammals, we demonstrate that CSA calculates chromosome-scale assemblies from long-read data and genome comparisons alone. Even contig-level draft assemblies of diverged genomes are helpful for reconstructing chromosome-scale sequences. CSA is also capable of assembling ultra-long reads. Conclusions: CSA can speed up and simplify chromosome-level assembly and significantly lower costs of large-scale family-level vertebrate genome projects.
Published: 2020

40. RNA-Seq transcriptome data of undifferentiated and differentiated gonads of Siberian sturgeon

Author: Denise Vizziano-Cantonnet, André Lasalle, Santiago Di Landro, Christophe Klopp, Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Laboratorio de Fisiologia de la Reproduccion y Ecologia de Peces, Instituto de Biologia, Facultad de Ciencias, Universidad de la Republica Oriental del Uruguay, Partenaires INRAE, Comision Sectorial de Investigacion Cientifica (CSIC), Universidad de la Republica Oriental del Uruguay - C225-348Agencia Nacional de Investigacion e Innovacion-Direccion Nacional de Recursos Acuaticos ANII-DINARA-Uruguay - FPA 9975Agencia Nacional de Investigacion e Innovacion - FMV_1_2017_1_135908, Klopp C., Lasalle Gerla André Eduardo, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., Di Landro Francis Santiago, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología., and Vizziano-Cantonnet Denise, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.
Subjects: endocrine system, Zoology, RNA-Seq, Sex differentiation, lcsh:Computer applications to medicine. Medical informatics, Acipenser baerii, gametogenesis, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Sturgeon, Aquaculture, Agricultural and Biological Science, gonads, [INFO]Computer Science [cs], 14. Life underwater, Gonads, lcsh:Science (General), Gametogenesis, 030304 developmental biology, 0303 health sciences, Multidisciplinary, Sexual differentiation, biology, business.industry, urogenital system, RNA sequencing, biology.organism_classification, [SDE]Environmental Sciences, lcsh:R858-859.7, sex differentiation, Development of the gonads, business, 030217 neurology & neurosurgery, lcsh:Q1-390
Abstract: International audience; RNA-Seq transcriptome data from twenty Siberian sturgeon gonads at different developmental stages is described: ten undifferentiated gonads, six gonads of immature males and four gonads from immature females. Siberian sturgeon, Acipenser baerii, is long-lived, late-maturing fish farmed in 50 countries but its production remains on a craftsman scale when compared to industrial species. Sturgeon genetic and physiological studies are less developed than for industrial fish. The data presented hereafter enables fundamental studies on the regulatory mechanisms of sturgeon gonad development, which can further be applied both in aquaculture and in fundamental research. (C) 2020 The Author(s). Published by Elsevier Inc.
Published: 2020

41. Sources of variation of DNA methylation in rainbow trout: combined effects of temperature and genetic background

Author: Alain Roulet, Lionel Goardon, Céline Ciobotaru, Jean-Michel Le Calvez, Maria Bernard, Mathieu Charles, Audrey Prézelin, Marjorie Bideau, Olivier Bouchez, Laurent Labbé, Nicolas Dechamp, Edwige Quillet, Xavier Cousin, Alexandre Fricot, Mathilde Dupont-Nivet, Marco Moroldo, Delphine Lallias, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Pisciculture Expérimentale INRAE des Monts d'Arrée (PEIMA), Biologie de la Reproduction, Environnement, Epigénétique & Développement (BREED), Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École nationale vétérinaire d'Alfort (ENVA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), H2020 European Research Council652831, European Project: 652831,H2020,H2020-INFRAIA-2014-2015,AQUAEXCEL2020(2015), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École nationale vétérinaire - Alfort (ENVA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École nationale vétérinaire d'Alfort (ENVA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
Subjects: 0301 basic medicine, Cancer Research, [SDE.MCG]Environmental Sciences/Global Changes, Embryonic Development, Biology, DNA methyltransferase, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Animals, isogenic lines, 14. Life underwater, Epigenetics, Genetic variability, dnmt3, Molecular Biology, Gene, Genetics, DNA methylation, EpiRADseq, Temperature, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Methylation, rainbow trout, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, 030104 developmental biology, chemistry, 030220 oncology & carcinogenesis, Oncorhynchus mykiss, Rainbow trout, Genetic Background, DNA, Research Paper
Abstract: International audience; Phenotypic plasticity is a key component of the ability of organisms to respond to changing environmental conditions. In this study, we aimed to study the establishment of DNA methylation marks in response to an environmental stress in rainbow trout and to assess whether these marks depend on the genetic background. The environmental stress chosen here was temperature, a known induction factor of epigenetic marks in fish. To disentangle the role of epigenetic mechanisms such as DNA methylation in generating phenotypic variations, nine rainbow trout isogenic lines with no genetic variability within a line were used. For each line, half of the eggs were incubated at standard temperature (11°C) and the other half at high temperature (16°C), from eyed-stage to hatching. In order to gain a first insight into the establishment of DNA methylation marks in response to an early temperature regime (control 11°C vs. heated 16°C), we have studied the expression of 8 dnmt3 (DNA methyltransferase) genes, potentially involved in de novo methylation, and analysed global DNA methylation in the different rainbow trout isogenic lines using LUMA (LUminometric Methylation Assay). Finally, finer investigation of genome-wide methylation patterns was performed using EpiRADseq, a reduced-representation library approach based on the ddRADseq (Double Digest Restriction Associated DNA) protocol, for six rainbow trout isogenic lines. We have demonstrated that thermal history during embryonic development alters patterns of DNA methylation, but to a greater or lesser extent depending on the genetic background.
Published: 2020
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42. Le projet « Mille Génomes Gallus » : partager les données de séquences pour mieux les utiliser

Author: Tixier-Boichard, Michèle, Lecerf, Frédéric, Herault, Frédéric, Bardou, Philippe, Klopp, Christophe, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), and Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics
Abstract: International audience; The 1 000 Gallus Genomes project aims at gathering whole genome sequence data in chicken, produced by research projects. It allows increasing the power of analyses by increasing the number of genomes compared. Potential applications target a better knowledge of the chicken genome and of the genetic diversity of the species, the identification of causal mutations and a support to genomic selection. A pilot project has started inFrance with 207 individual genome sequences produced by eight publicly funded projects on a range of chicken populations (broilers, layers, local breeds, wild ancestors). Datasets are described by metadata for technical parameters, for the animal and its population of origin. Phenotypic data are not shared. Sequences have been compared to version 5 of the reference genome with a common pipeline that identified more than 40 millionsSNP variants. A structure analysis led to group the 207 individuals in seven genetic clusters. The MC1R gene was chosen as an example showing how to detect a selection signature related to red plumage in brown-egg layers. Candidate genes for egg-shell quality are under study. Other data produced in Europe and China show that 1,000 chicken genomes have already been sequenced. The principles of a consortium agreement are presented in order to extend our project to a larger set of sequence data.; Le séquençage du génome entier est devenu abordable chez la poule. Le projet « Mille Génomes Gallus » a pour objectif de rassembler les séquences d’animaux du genre Gallus, produites dans des projets de recherche. L’intérêt est d’augmenter la puissance des analyses génomiques en augmentant le nombre de génomes comparés. Les applications possibles concernent l’analyse de la structure du génome, la caractérisation globale de la diversité de l’espèce, l’identification de mutations causales et l’aide à la sélection génomique. Cette synthèse décrit d’abord le contexte de la génomique de la poule avant de développer le concept de « Mille Génomes », de l’illustrer avec un projet pilote porté par des équipes françaises et de discuter les modalités de son extension. Le projet pilote français regroupe 207 séquences individuelles pour 8 projets de recherches financés par des fonds publics, sur une large gamme de populations (poulets de chair, poules pondeuses, races locales, espèces sauvages). Les jeux de données sont décrits par des métadonnées techniques et des métadonnées liées à l’animal et sa population d’origine. Aucune information phénotypique n’est partagée. La comparaison des séquences à la version 5 du génome de référence a permis de répertorier plus de 40 millions de variants SNP. L’analyse de structure des populations a identifié sept groupes génétiques. Le gène MC1R a été choisi comme exemple permettant de détecter une signature de sélection chez les pondeuses de plumage rouge et d’autres gènes candidats sont en cours d’étude sur la qualité de coquille. D’autres données produites en Europe et en Chine montrent que 1 000 génomes de poule ont déjà été séquencés. Les principes d’un accord de consortium sont exposés afin d’élargir notre projet à un plus grand nombre de données de séquence.
Published: 2020

43. Sex chromosome and sex locus characterization in goldfish, Carassius auratus (Linnaeus, 1758)

Author: Ming, Wen, Romain, Feron, Qiaowei, Pan, Justine, Guguin, Elodie, Jouanno, Amaury, Herpin, Christophe, Klopp, Cedric, Cabau, Margot, Zahm, Hugues, Parrinello, Laurent, Journot, Shawn M, Burgess, Yoshihiro, Omori, John H, Postlethwait, Manfred, Schartl, Yann, Guiguen, Hunan Normal University, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of Lausanne, Lausanne, Switzerland, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), Plateforme Bio-Informatique - Génotoul, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut de Génomique Fonctionnelle - Montpellier GenomiX (IGF MGX), Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), National Human Genome Research Institute (NHGRI), Nagahama Institute of Bioscience and Technology, Osaka University [Osaka], University of Oregon [Eugene], University of Würzburg, Texas State University, Grant-in-Aid for Scientific Research (19 K22426) - Grants: R01OD011116 and 5R01GM085318 from the USA National Institutes of Health - ANAEE-France National infrastructure, ANR-13-ISV7-0005,PhyloSex,Evolution des déterminants majeurs du sexe chez les poissons.(2013), ANR-10- INBS0009,INBS,France-Génomique, Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan University [Changsha] (HNU), University of Lausanne (UNIL), Département d'écologie et évolution [Lausanne] (DEE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Centre National de la Recherche Scientifique (CNRS)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 1 (UM1)-Centre National de la Recherche Scientifique (CNRS)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 1 (UM1), Institute for Protein Research [Osaka], Nagahama Institute of Bio-Science and Technology, Oregon State University (OSU), 'Agence Nationale de la Recherche' and the 'Deutsche Forschungsgemeinschaft' (ANR/DFG,PhyloSex project, 2014–2016) to MS and YG. Montpellier Genomics (MGX)facility was supported by France Génomique National infrastructure, fundedas part of 'Investissement d’avenir' program managed by Agence Nationalepour la Recherche (contract ANR-10-INBS-09). This work was also supportedby Grant-in-Aid for Scientific Research (19 K22426) to YO, and grantsR01OD011116 and 5R01GM085318 from the USA National Institutes of Healthto JHP. INRAE-U3E was supported by a PEARL INRAE 1036 U3E funding fromthe ANAEE-France National infrastructure., ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université de Lausanne = University of Lausanne (UNIL), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-BioCampus (BCM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Naudinat, Carine, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, and Blanc – Accords bilatéraux 2013 - Evolution des déterminants majeurs du sexe chez les poissons. - - PhyloSex2013 - ANR-13-ISV7-0005 - Blanc – Accords bilatéraux 2013 - VALID
Subjects: Male, Male genome assembly, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Sex Chromosomes, lcsh:QH426-470, Sex markers, Genetic Linkage, [SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT], lcsh:Biotechnology, [SDV]Life Sciences [q-bio], Poolseq, RADseq, Sex Determination Processes, Sex determination, [SDV] Life Sciences [q-bio], lcsh:Genetics, Y Chromosome, lcsh:TP248.13-248.65, Goldfish, Animals, Female, Goldfish/genetics, Sex Chromosomes/genetics, Sex Determination Processes/genetics, Research Article
Abstract: International audience; Background - Goldfish is an important model for various areas of research, including neural development and behavior and a species of significant importance in aquaculture, especially as an ornamental species. It has a male heterogametic (XX/XY) sex determination system that relies on both genetic and environmental factors, with high temperatures being able to produce female-to-male sex reversal. Little, however, is currently known on the molecular basis of genetic sex determination in this important cyprinid model. Here we used sequencing approaches to better characterize sex determination and sex-chromosomes in an experimental strain of goldfish. Results - Our results confirmed that sex determination in goldfish is a mix of environmental and genetic factors and that its sex determination system is male heterogametic (XX/XY). Using reduced representation (RAD-seq) and whole genome (pool-seq) approaches, we characterized sex-linked polymorphisms and developed male specific genetic markers. These male specific markers were used to distinguish sex-reversed XX neomales from XY males and to demonstrate that XX female-to-male sex reversal could even occur at a relatively low rearing temperature (18 °C), for which sex reversal has been previously shown to be close to zero. We also characterized a relatively large non-recombining region (~ 11.7 Mb) on goldfish linkage group 22 (LG22) that contained a high-density of male-biased genetic polymorphisms. This large LG22 region harbors 373 genes, including a single candidate as a potential master sex gene, i.e., the anti-Mullerian hormone gene (amh). However, no sex-linked polymorphisms were detected in the coding DNA sequence of the goldfish amh gene. Conclusions - These results show that our goldfish strain has a relatively large sex locus on LG22, which is likely the Y chromosome of this experimental population. The presence of a few XX males even at low temperature also suggests that other environmental factors in addition to temperature could trigger female-to-male sex reversal. Finally, we also developed sex-linked genetic markers, which will be important tools for future research on sex determination in our experimental goldfish population. However, additional work would be needed to explore whether this sex locus is conserved in other populations of goldfish.
Published: 2020

44. The '1 000 Gallus Genomes' project: sharing sequence data to better exploit them

Author: Michèle Tixier-Boichard, Christophe Klopp, Frédéric Lecerf, Philippe Bardou, Frédéric Herault, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), and Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 2. Zero hunger, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics
Abstract: International audience; The 1 000 Gallus Genomes project aims at gathering whole genome sequence data in chicken, produced by research projects. It allows increasing the power of analyses by increasing the number of genomes compared. Potential applications target a better knowledge of the chicken genome and of the genetic diversity of the species, the identification of causal mutations and a support to genomic selection. A pilot project has started inFrance with 207 individual genome sequences produced by eight publicly funded projects on a range of chicken populations (broilers, layers, local breeds, wild ancestors). Datasets are described by metadata for technical parameters, for the animal and its population of origin. Phenotypic data are not shared. Sequences have been compared to version 5 of the reference genome with a common pipeline that identified more than 40 millionsSNP variants. A structure analysis led to group the 207 individuals in seven genetic clusters. The MC1R gene was chosen as an example showing how to detect a selection signature related to red plumage in brown-egg layers. Candidate genes for egg-shell quality are under study. Other data produced in Europe and China show that 1,000 chicken genomes have already been sequenced. The principles of a consortium agreement are presented in order to extend our project to a larger set of sequence data.; Le séquençage du génome entier est devenu abordable chez la poule. Le projet « Mille Génomes Gallus » a pour objectif de rassembler les séquences d’animaux du genre Gallus, produites dans des projets de recherche. L’intérêt est d’augmenter la puissance des analyses génomiques en augmentant le nombre de génomes comparés. Les applications possibles concernent l’analyse de la structure du génome, la caractérisation globale de la diversité de l’espèce, l’identification de mutations causales et l’aide à la sélection génomique. Cette synthèse décrit d’abord le contexte de la génomique de la poule avant de développer le concept de « Mille Génomes », de l’illustrer avec un projet pilote porté par des équipes françaises et de discuter les modalités de son extension. Le projet pilote français regroupe 207 séquences individuelles pour 8 projets de recherches financés par des fonds publics, sur une large gamme de populations (poulets de chair, poules pondeuses, races locales, espèces sauvages). Les jeux de données sont décrits par des métadonnées techniques et des métadonnées liées à l’animal et sa population d’origine. Aucune information phénotypique n’est partagée. La comparaison des séquences à la version 5 du génome de référence a permis de répertorier plus de 40 millions de variants SNP. L’analyse de structure des populations a identifié sept groupes génétiques. Le gène MC1R a été choisi comme exemple permettant de détecter une signature de sélection chez les pondeuses de plumage rouge et d’autres gènes candidats sont en cours d’étude sur la qualité de coquille. D’autres données produites en Europe et en Chine montrent que 1 000 génomes de poule ont déjà été séquencés. Les principes d’un accord de consortium sont exposés afin d’élargir notre projet à un plus grand nombre de données de séquence.
Published: 2020

45. A 180 My-old female-specific genome region in sturgeon reveals the oldest known vertebrate sex determining system with undifferentiated sex chromosomes

Author: Emmanuel Bonpunt, Romain Morvezen, Christophe Klopp, Kang Du, Christin Höhne, Pierre Patrice, Elena Santidrian Yebra-Pimentel, Mitica Ciorpac, Radu Suciu, Jörn Gessner, Matthias Stöck, Dunja K. Lamatsch, Dmitry Yu Prokopov, Wibke Kleiner, Pierrick Haffray, Anastasia Bestin, Bastien Debeuf, Heiner Kuhl, Manfred Schartl, Yann Guiguen, Eva Kreuz, Klaus Kohlmann, Sven Wuertz, Daniela Holostenco, Ron P. Dirks, Céline Lopez-Roques, Werner Kloas, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Würzburg = Universität Würzburg, The Xiphophorus Genetic Stock Center, Department of Chemistry and Biochemistry, Texas State University, Plateforme Bio-Informatique - Génotoul, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Future Genomics Technologies, « Danube Delta » National Institute for Research and Development [Tulcea], Academy of Agricultural and Forestry Sciences 'Gheorghe Ionescu-Sisesti' (A.A.F.S.), University of Innsbruck, Siberian Branch of the Russian Academy of Sciences (SB RAS), Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), L’Esturgeonnière, SCEA Sturgeon, This work was funded through COFASP/ERANET (STURGEoNOMICS) by the German Federal Ministry of Food andAgriculture through the Federal Office for Agriculture and Food (grant nos. 2816ERA04G, 2816ERA05G) to M. Stöck,S.W., J.G. and M. Schartl, by the French National Research Agency (grant nos. ANR-16-COFA-0002) to YG, CK and CR,and by the Romanian Executive Agency for Higher Education, Research Development and Innovation Funding(UEFISCDI, contract 3/2017) to RS, MC and DH. This research was also in part supported by the Russian ScienceFoundation (RSF) to DP (grant number 18-44-04-007), by the Deutsche Forschungsgemeinschaft to MSch (DFG SCHA408/14-1), and by a European Maritime and Fisheries Fund to YG (EMFF/FEAMP project SIBERSEX). Research onA.gueldenstaedtii was supported by a European Maritime and Fisheries Fund to YG (EMFF/FEAMP project S’STURGEON)., ANR-16-COFA-0002,STURGEoNOMICS,Genome-based approaches for improvement of aquaculture in two marine sturgeon species: Atlantic sturgeon (Acipenser oxyrinchus) and Beluga (Huso huso)(2016), University of Würzburg, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), This work was funded through COFASP/ERANET (STURGEoNOMICS) by the German Federal Ministry of Food and Agriculture through the Federal Office for Agriculture and Food (grant nos. 2816ERA04G and 2816ERA05G) to M.Stöck, S.W., J.G. and M.Schartl, by the French National Research Agency (grant nos. ANR-16-COFA-0002) to Y.G., C.K. and C.L.R., and by the Romanian Executive Agency for Higher Education, Research Development and Innovation Funding (UEFISCDI, contract 3/2017) to RS, MC and DH. H.K. was funded by the German Research Foundation (DFG) (Eigene Stelle grant no. KU 3596/1-1, Project No. 324050651). This research was also in part supported by the Russian Science Foundation (RSF) to D.P. (grant no. 18-44-04-007), by the Deutsche Forschungsgemeinschaft to MSch (DFG SCHA 408/14-1), and by a European Maritime and Fisheries Fund to Y.G. (EMFF/FEAMP project SIBERSEX). Research on A. gueldenstaedtii was supported by a European Maritime and Fisheries Fund to Y.G. (EMFF/FEAMP project S'STURGEON)., Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
Subjects: 0301 basic medicine, 0106 biological sciences, Evolution, [SDV]Life Sciences [q-bio], Acipenseridae, Sturgeon, Huso, Biology, 010603 evolutionary biology, 01 natural sciences, Genome, General Biochemistry, Genetics and Molecular Biology, [SDV.BDLR.RS]Life Sciences [q-bio]/Reproductive Biology/Sexual reproduction, Evolution, Molecular, Polyploidy, 03 medical and health sciences, Phylogenetics, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], biology.animal, Sex-determination system, Animals, 14. Life underwater, Acipenser ruthenus, Evolution - stars, Clade, Phylogeny, Research Articles, 030304 developmental biology, 0303 health sciences, Fishes, Chromosome, Vertebrate, Sex chromosomes, Articles, Sex Determination Processes, biology.organism_classification, Female-specific, 030104 developmental biology, Evolutionary biology, Female, General Agricultural and Biological Sciences
Abstract: Several hypotheses explain the prevalence of undifferentiated sex chromosomes in poikilothermic vertebrates. Turnovers change the master sex determination gene, the sex chromosome or the sex determination system (e.g. XY to WZ). Jumping master genes stay main triggers but translocate to other chromosomes. Occasional recombination (e.g. in sex-reversed females) prevents sex chromosome degeneration. Recent research has uncovered conserved heteromorphic or even homomorphic sex chromosomes in several clades of non-avian and non-mammalian vertebrates. Sex determination in sturgeons (Acipenseridae) has been a long-standing basic biological question, linked to economical demands by the caviar-producing aquaculture. Here, we report the discovery of a sex-specific sequence from sterlet ( Acipenser ruthenus ). Using chromosome-scale assemblies and pool-sequencing, we first identified an approximately 16 kb female-specific region. We developed a PCR-genotyping test, yielding female-specific products in six species, spanning the entire phylogeny with the most divergent extant lineages ( A. sturio, A. oxyrinchus versus A. ruthenus, Huso huso ), stemming from an ancient tetraploidization. Similar results were obtained in two octoploid species ( A. gueldenstaedtii, A. baerii ). Conservation of a female-specific sequence for a long period, representing 180 Myr of sturgeon evolution, and across at least one polyploidization event, raises many interesting biological questions. We discuss a conserved undifferentiated sex chromosome system with a ZZ/ZW-mode of sex determination and potential alternatives. This article is part of the theme issue ‘Challenging the paradigm in sex chromosome evolution: empirical and theoretical insights with a focus on vertebrates (Part I)’.
Published: 2020

46. The rise and fall of the ancient northern pike master sex-determining gene

Author: Mike Tringali, Hongxia Hu, Amaury Herpin, Patrick W. DeHaan, Eric Rondeau, Louis Bernatchez, Wesley A. Larson, Manfred Schartl, Elodie Jouanno, E. A. Interesova, Yann Guiguen, Eric Saillant, Stephen S. Curran, Hugo Verreycken, Gaël P.J. Denys, Roger A. Tabor, Vladimir A. Trifonov, Hugo Darras, Christophe Klopp, Hugues Parrinello, Frederick W. Goetz, John H. Postlethwait, Qiaowei Pan, Céline Roques, J. Andrés López, Camille Eché, Jérôme Lluch, Laurent Journot, Frank A. von Hippel, Krista M. Nichols, Konrad Ocalewicz, Romain Feron, René Guyomard, Song-Lin Chen, Ben F. Koop, Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Ecology and Evolution [Lausanne], Université de Lausanne (UNIL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Department of Biology, University of Victoria, Northwest Fisheries Science Center (NWFSC), NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Alaska Pacific University, Institut de Biologie Intégrative et des Systèmes [Québec] (IBIS), Florida Marine Research Institute, Florida Fish and Wildlife Conservation Commission, School of Ocean Science and Technology [Mississippi] (SOST), University of Southern Mississippi (USM), Gulf Coast Research Laboratory, Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Patrimoine naturel (PatriNat), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB), Department of Biological Sciences [Flagstaff], Northern Arizona University [Flagstaff], Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, College of Fisheries and Ocean Sciences (CFOS), University of Alaska [Fairbanks] (UAF), Research Institute for Nature and Forest (INBO), Department of Marine Biology and Ecology, University of Gdansk, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Beijing Fisheries Research Institute, U.S. Fish and Wildlife Service, Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Tomsk State University [Tomsk], Siberian Branch of the Russian Academy of Sciences (SB RAS), Developmental Biochemistry, Biocenter, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Institute of Neuroscience, University of Oregon, Eugene, Oregon, University of Oregon [Eugene], This work was supported by the Agence Nationale de la Recherche, the Deutsche Forschungsgemeinschaft (ANR/DFG, PhyloSex project, 2014–2016, SCHA 408/10–1, to YG and MS), and the U.S. National Institutes of Health (R01GM085318 to JHP). The MGX and Get-Plage core sequencing facilities were supported by France Genomique National infrastructure, funded as part of the ‘Investissement d’avenir’ program managed by the Agence Nationale pour la Recherche (contract ANR-10-INBS-09)., ANR-13-ISV7-0005,PhyloSex,Evolution des déterminants majeurs du sexe chez les poissons.(2013), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), Université de Lausanne = University of Lausanne (UNIL), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Toulouse III - Paul Sabatier (UT3), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), University of Victoria [Canada] (UVIC), Qingdao National Laboratory for Marine Science and Technology, University of Gdańsk (UG), Université de Toulouse (UT)-Université de Toulouse (UT)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Texas State University, Agence Nationale de la Recherche, Deutsche Forschungsgemeinschaft (ANR/DFG, PhyloSex project, 2014–2016, SCHA 408/10–1, to YG and MS), U.S. National Institutes of Health (R01GM085318 to JHP), France Genomique National infrastructure, funded as part of the ‘Investissement d’avenir’ program managed by the Agence Nationale pour la Recherche (contract ANR-10-INBS-09), Julius-Maximilians-Universität Würzburg (JMU), Corvaisier, Maryse, Blanc – Accords bilatéraux 2013 - Evolution des déterminants majeurs du sexe chez les poissons. - - PhyloSex2013 - ANR-13-ISV7-0005 - Blanc – Accords bilatéraux 2013 - VALID, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, and Przeworski, Molly (ed.)
Subjects: Male, 0106 biological sciences, 0301 basic medicine, Evolution of sexual reproduction, Lineage (evolution), [SDV]Life Sciences [q-bio], sex determination, 01 natural sciences, mudminnows, Gene Duplication, Gene duplication, Biology (General), Clade, master sex determining gene, Phylogeny, северная щука, computer.programming_language, гены, определяющие пол, 0303 health sciences, education.field_of_study, Sex Chromosomes, biology, umbridae, General Neuroscience, General Medicine, [SDV] Life Sciences [q-bio], Medicine, Female, Research Article, QH301-705.5, Demographic history, Science, Population, esocidae, Y chromosome, 010603 evolutionary biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Animals, education, Esox, pikes, 030304 developmental biology, Pike, fish, General Immunology and Microbiology, evolutionary biology, Sex Determination Processes, biology.organism_classification, esociforms, Sexual reproduction, 030104 developmental biology, Evolutionary biology, Other, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, Sex linkage
Abstract: Sexual reproduction is a ubiquitous basic feature of life and genetic sex determination is thus widespread, at least among eukaryotes. Understanding the remarkable diversity of sex determination mechanisms, however, is limited by the paucity of empirical studies. Here, we traced back the evolution of sex determination in an entire clade of vertebrates and uncovered that the northern pike (Esox lucius) master sex-determining gene initiated from a 65 to 90 million-year-old gene duplication and remained sex-linked on undifferentiated sex chromosomes for at least 56 million years. Contrasting with its ancient origin, we identified several independent species- or population-specific transitions of sex determination mechanisms in this lineage, including an unexpected complete and recent Y-chromosome loss in some North American northern pike populations. These findings highlight the diversity of the evolutionary fates of master sex-determining genes and raise the importance of careful considerations of population demographic history in sex determination studies. Our study also puts forward the hypothesis that occasional sex reversals and genetic bottlenecks provide a non-adaptive explanation for sex determination transitions.
Published: 2020

47. Tolérance de la faune ingénieure du sol à la contamination résiduelle par les produits phytosanitaires dans les agroécosystèmes : approches omiques des mécanismes moléculaires en jeu

Author: Barranger, Audrey, Com, Emmanuelle, Klopp, Christophe, Binet, Françoise, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Briand, Valerie, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), and Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Subjects: [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2019

48. Structure of the intergenic spacers in chicken ribosomal DNA

Author: Svetlana Galkina, Anastasia Sokolovskaya, Elena Gaginskaya, Nathalie Rodde, Stéphane Cauet, Céline Lopez-Roques, Alsu Saifitdinova, Christophe Klopp, Alexander Dyomin, Valerie Fillon, Alain Vignal, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre National de Ressources Génomiques Végétales (CNRGV), Institut National de la Recherche Agronomique (INRA), Génome et Transcriptome - Plateforme Génomique (GeT-PlaGe), Institut National de la Recherche Agronomique (INRA)-Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Russian Foundation for Basic Research (RFBR) 18-04-01276A / Saint Petersburg State University's Programme 4 1.40.1625.2017, Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), and INRA (GeT-PlaGE)
Subjects: lcsh:QH426-470, chicken, [SDV]Life Sciences [q-bio], dna, Biology, DNA, Ribosomal, Genome, genomic, 03 medical and health sciences, Intergenic region, Tandem repeat, Sequence Homology, Nucleic Acid, DNA, Ribosomal Spacer, Gene cluster, Genetics, Animals, Ribosomal DNA, Gene, Conserved Sequence, Ecology, Evolution, Behavior and Systematics, lcsh:SF1-1100, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, Contig, 030302 biochemistry & molecular biology, General Medicine, Ribosomal RNA, lcsh:Genetics, Animal Science and Zoology, lcsh:Animal culture, genetic, Chickens, Research Article, Autre (Sciences du Vivant)
Abstract: Background Ribosomal DNA (rDNA) repeats are situated in the nucleolus organizer regions (NOR) of chromosomes and transcribed into rRNA for ribosome biogenesis. Thus, they are an essential component of eukaryotic genomes. rDNA repeat units consist of rRNA gene clusters that are transcribed into single pre-rRNA molecules, each separated by intergenic spacers (IGS) that contain regulatory elements for rRNA gene cluster transcription. Because of their high repeat content, rDNA sequences are usually absent from genome assemblies. In this work, we used the long-read sequencing technology to describe the chicken IGS and fill the knowledge gap on rDNA sequences of one of the key domesticated animals. Methods We used the long-read PacBio RSII technique to sequence the BAC clone WAG137G04 (Wageningen BAC library) known to contain chicken NOR elements and the HGAP workflow software suit to assemble the PacBio RSII reads. Whole-genome sequence contigs homologous to the chicken rDNA repetitive unit were identified based on the Gallus_gallus-5.0 assembly with BLAST. We used the Geneious 9.0.5 and Mega software, maximum likelihood method and Chickspress project for sequence evolution analysis, phylogenetic tree construction and analysis of the raw transcriptome data. Results Three complete IGS sequences in the White Leghorn chicken genome and one IGS sequence in the red junglefowl contig AADN04001305.1 (Gallus_gallus-5.0) were detected. They had various lengths and contained three groups of tandem repeats (some of them being very GC rich) that form highly organized arrays. Initiation and termination sites of rDNA transcription were located within small and large unique regions (SUR and LUR), respectively. No functionally significant sites were detected within the tandem repeat sequences. Conclusions Due to the highly organized GC-rich repeats, the structure of the chicken IGS differs from that of IGS in human, apes, Xenopus or fish rDNA. However, the chicken IGS shares some molecular organization features with that of the turtles, which are other representatives of the Sauropsida clade that includes birds and reptiles. Our current results on the structure of chicken IGS together with the previously reported ribosomal gene cluster sequence provide sufficient data to consider that the complete chicken rDNA sequence is assembled with confidence in terms of molecular DNA organization.
Published: 2019

49. Tolerance of soil engineer to pesticide residual contamination in agrosystems: an omic strategy for studying the molecular mechanisms at play

Author: Barranger, Audrey, Com, Emmanuelle, Klopp, Christophe, Binet, Françoise, Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Plateforme Protéomique-Biogenouest (PPB), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Proteomics Core Facility (Protim), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-Plateforme Génomique Santé Biogenouest®, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de la Recherche Agronomique (INRA), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Briand, Valerie, Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Proteomics Core Facility (Protim), Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Plateforme Génomique Santé Biogenouest®, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Santé et de la Recherche Médicale (INSERM)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université d'Angers (UA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Santé et de la Recherche Médicale (INSERM)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université d'Angers (UA)-Proteomics Core Facility (Protim)
Subjects: [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

50. Analysis of pig transcriptomes suggests a global regulation mechanism enabling temporary bursts of circular RNAs

Author: Robic, Annie, Djebali, Sarah, Faraut, Thomas, Djebali-Quelen, Sarah, Weikard, Rosemarie, Feve, Katia, Maman, Sarah, Kuehn, Christa, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Leibniz Institute for Farm Animal Biology, Leibniz Institute for Farm Animal Biology (FBN), University of Rostock, and PigTRome project
Subjects: Male, sisRNA, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Swine, lariat, regulation circRNA production, abundance in circRNA, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, SMARCA5, Testis, multi-exon circRNA, Animals, Molecular Biology, 030304 developmental biology, 0303 health sciences, Mechanism (biology), Muscles, Intron, Reproducibility of Results, Exons, RNA, Circular, Cell Biology, Embryo, Mammalian, Introns, Cell biology, intronic circRNA, Gene Expression Regulation, 030220 oncology & carcinogenesis, pubertal testi, steroid production, Research Paper, circular RNAs
Abstract: To investigate the dynamics of circRNA expression in pig testes, we designed specific strategies to individually study circRNA production from intron lariats and circRNAs originating from back-splicing of two exons. By applying these methods on seven Total-RNA-seq datasets sampled during the testicular puberty, we detected 126 introns in 114 genes able to produce circRNAs and 5,236 exonic circRNAs produced by 2,516 genes. Comparing our RNA-seq datasets to datasets from the literature (embryonic cortex and postnatal muscle stages) revealed highly abundant intronic and exonic circRNAs in one sample each in pubertal testis and embryonic cortex, respectively. This abundance was due to higher production of circRNA by the same genes in comparison to other testis samples, rather than to the recruitment of new genes. No global relationship between circRNA and mRNA production was found. We propose ExoCirc-9244 (SMARCA5) as a marker of a particular stage in testis, which is characterized by a very low plasma estradiol level and a high abundance of circRNA in testis. We hypothesize that the abundance of testicular circRNA is associated with an abrupt switch of the cellular process to overcome a particular challenge that may have arisen in the early stages of steroid production. We also hypothesize that, in certain circumstances, isoforms and circular transcripts from different genes share functions and that a global regulation of circRNA production is established. Our data indicate that this massive production of circRNAs is much more related to the structure of the genes generating circRNAs than to their function. Abbreviations: PE: Paired Ends; CR: chimeric Read; SR: Split Read; circRNA: circular RNA; NC: non conventional; ExoCirc-RNA: exonic circular RNA; IntroLCirc-: name of a porcine intronic lariat circRNA; ExoCirc-: name of a porcine exonic circRNA; IntronCircle-: name of a porcine intron circle; sisRNA: stable intronic sequence RNA; P: porcine breed Pietrain; LW: porcine breed Large White; RT: reverse transcription/reverse transcriptase; Total-RNA-seq: RNA-seq obtained from total RNA after ribosomal depletion; mRNA-seq: RNA-seq of poly(A) transcripts; TPM: transcripts per million; CR-PM: chimeric reads per million; RBP: RNA binding protein; miRNA: micro RNA; E2: estradiol; DHT: dihydrotestesterone
Published: 2019

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