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1. The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Claude Rispe, Fabrice Legeai, Paul D. Nabity, Rosa Fernández, Arinder K. Arora, Patrice Baa-Puyoulet, Celeste R. Banfill, Leticia Bao, Miquel Barberà, Maryem Bouallègue, Anthony Bretaudeau, Jennifer A. Brisson, Federica Calevro, Pierre Capy, Olivier Catrice, Thomas Chertemps, Carole Couture, Laurent Delière, Angela E. Douglas, Keith Dufault-Thompson, Paula Escuer, Honglin Feng, Astrid Forneck, Toni Gabaldón, Roderic Guigó, Frédérique Hilliou, Silvia Hinojosa-Alvarez, Yi-min Hsiao, Sylvie Hudaverdian, Emmanuelle Jacquin-Joly, Edward B. James, Spencer Johnston, Benjamin Joubard, Gaëlle Le Goff, Gaël Le Trionnaire, Pablo Librado, Shanlin Liu, Eric Lombaert, Hsiao-ling Lu, Martine Maïbèche, Mohamed Makni, Marina Marcet-Houben, David Martínez-Torres, Camille Meslin, Nicolas Montagné, Nancy A. Moran, Daciana Papura, Nicolas Parisot, Yvan Rahbé, Mélanie Ribeiro Lopes, Aida Ripoll-Cladellas, Stéphanie Robin, Céline Roques, Pascale Roux, Julio Rozas, Alejandro Sánchez-Gracia, Jose F. Sánchez-Herrero, Didac Santesmasses, Iris Scatoni, Rémy-Félix Serre, Ming Tang, Wenhua Tian, Paul A. Umina, Manuella van Munster, Carole Vincent-Monégat, Joshua Wemmer, Alex C. C. Wilson, Ying Zhang, Chaoyang Zhao, Jing Zhao, Serena Zhao, Xin Zhou, François Delmotte, and Denis Tagu

Subjects
Arthropod genomes, Daktulosphaira vitifoliae, Gene duplications, Host plant interactions, Effectors, Biological invasions, Biology (General), QH301-705.5
Abstract

Abstract Background Although native to North America, the invasion of the aphid-like grape phylloxera Daktulosphaira vitifoliae across the globe altered the course of grape cultivation. For the past 150 years, viticulture relied on grafting-resistant North American Vitis species as rootstocks, thereby limiting genetic stocks tolerant to other stressors such as pathogens and climate change. Limited understanding of the insect genetics resulted in successive outbreaks across the globe when rootstocks failed. Here we report the 294-Mb genome of D. vitifoliae as a basic tool to understand host plant manipulation, nutritional endosymbiosis, and enhance global viticulture. Results Using a combination of genome, RNA, and population resequencing, we found grape phylloxera showed high duplication rates since its common ancestor with aphids, but similarity in most metabolic genes, despite lacking obligate nutritional symbioses and feeding from parenchyma. Similarly, no enrichment occurred in development genes in relation to viviparity. However, phylloxera evolved > 2700 unique genes that resemble putative effectors and are active during feeding. Population sequencing revealed the global invasion began from the upper Mississippi River in North America, spread to Europe and from there to the rest of the world. Conclusions The grape phylloxera genome reveals genetic architecture relative to the evolution of nutritional endosymbiosis, viviparity, and herbivory. The extraordinary expansion in effector genes also suggests novel adaptations to plant feeding and how insects induce complex plant phenotypes, for instance galls. Finally, our understanding of the origin of this invasive species and its genome provide genetics resources to alleviate rootstock bottlenecks restricting the advancement of viticulture.

Published
2020
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2. Correction to: The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Claude Rispe, Fabrice Legeai, Paul D. Nabity, Rosa Fernández, Arinder K. Arora, Patrice Baa-Puyoulet, Celeste R. Banfill, Leticia Bao, Miquel Barberà, Maryem Bouallègue, Anthony Bretaudeau, Jennifer A. Brisson, Federica Calevro, Pierre Capy, Olivier Catrice, Thomas Chertemps, Carole Couture, Laurent Delière, Angela E. Douglas, Keith Dufault-Thompson, Paula Escuer, Honglin Feng, Astrid Forneck, Toni Gabaldón, Roderic Guigó, Frédérique Hilliou, Silvia Hinojosa-Alvarez, Yi-min Hsiao, Sylvie Hudaverdian, Emmanuelle Jacquin-Joly, Edward B. James, Spencer Johnston, Benjamin Joubard, Gaëlle Le Goff, Gaël Le Trionnaire, Pablo Librado, Shanlin Liu, Eric Lombaert, Hsiao-ling Lu, Martine Maïbèche, Mohamed Makni, Marina Marcet-Houben, David Martínez-Torres, Camille Meslin, Nicolas Montagné, Nancy A. Moran, Daciana Papura, Nicolas Parisot, Yvan Rahbé, Mélanie Ribeiro Lopes, Aida Ripoll-Cladellas, Stéphanie Robin, Céline Roques, Pascale Roux, Julio Rozas, Alejandro Sánchez-Gracia, Jose F. Sánchez-Herrero, Didac Santesmasses, Iris Scatoni, Rémy-Félix Serre, Ming Tang, Wenhua Tian, Paul A. Umina, Manuella van Munster, Carole Vincent-Monégat, Joshua Wemmer, Alex C. C. Wilson, Ying Zhang, Chaoyang Zhao, Jing Zhao, Serena Zhao, Xin Zhou, François Delmotte, and Denis Tagu

Subjects
Biology (General), QH301-705.5
Abstract

An amendment to this paper has been published and can be accessed via the original article.

Published
2020
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3. Diversity and evolution of mariner-like elements in aphid genomes

Author

Maryem Bouallègue, Jonathan Filée, Imen Kharrat, Maha Mezghani-Khemakhem, Jacques-Deric Rouault, Mohamed Makni, and Pierre Capy

Subjects
Aphids, Comparative genomics, Tc1-mariner, Transposable elements, MITEs, Molecular evolution, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background Although transposons have been identified in almost all organisms, genome-wide information on mariner elements in Aphididae remains unknown. Genomes of Acyrthosiphon pisum, Diuraphis noxia and Myzus persicae belonging to the Macrosiphini tribe, actually available in databases, have been investigated. Results A total of 22 lineages were identified. Classification and phylogenetic analysis indicated that they were subdivided into three monophyletic groups, each of them containing at least one putative complete sequence, and several non-autonomous sublineages corresponding to Miniature Inverted-Repeat Transposable Elements (MITE), probably generated by internal deletions. A high proportion of truncated and dead copies was also detected. The three clusters can be defined from their catalytic site: (i) mariner DD34D, including three subgroups of the irritans subfamily (Macrosiphinimar, Batmar-like elements and Dnomar-like elements); (ii) rosa DD41D, found in A. pisum and D. noxia; (iii) a new clade which differs from rosa through long TIRs and thus designated LTIR-like elements. Based on its catalytic domain, this new clade is subdivided into DD40D and DD41D subgroups. Compared to other Tc1/mariner superfamily sequences, rosa DD41D and LTIR DD40-41D seem more related to maT DD37D family. Conclusion Overall, our results reveal three clades belonging to the irritans subfamily, rosa and new LTIR-like elements. Data on structure and specific distribution of these transposable elements in the Macrosiphini tribe contribute to the understanding of their evolutionary history and to that of their hosts.

Published
2017
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4. In Silico Identification of MicroRNAs with B/CYDV Gene Silencing Potential

Author

Maryem Bouallègue, Dhia Bouktila, Maha Mezghani-Khemakhem, Pierre Capy, and Mohamed Makni

Subjects
Barley/Cereal Yellow Dwarf virus (B/CYDV), microRNA, Gene silencing, Host defense, Biotechnology, TP248.13-248.65
Abstract

ABSTRACT Computational investigation of a set of publicly available plant microRNAs revealed 19 barley- and other plants-encoded miRNAs and their near-complement reverse sequences (miRNA*) that have potential to bind all B/CYDV open reading frames (ORFs) except ORF0 and ORF6. These miRNAs/miRNAs*, their binding positions and targets are discussed in the context of biological protection of cereals against B/CYDV, based on antiviral silencing.

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5. Correction to: The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Marina Marcet-Houben, Spencer Johnston, Roderic Guigó, Claude Rispe, François Delmotte, Yvan Rahbé, Edward B. James, Carole Couture, Keith Dufault-Thompson, Laurent Delière, Fabrice Legeai, Patrice Baa-Puyoulet, Hsiao-ling Lu, Julio Rozas, Gaël Le Trionnaire, Sylvie Hudaverdian, Rosa Fernández, Chaoyang Zhao, Olivier Catrice, Manuella van Munster, Federica Calevro, Honglin Feng, Alex C.C. Wilson, Arinder K. Arora, Anthony Bretaudeau, Martine Maïbèche, Yi Min Hsiao, Thomas Chertemps, Maryem Bouallègue, Paula Escuer, Jing Zhao, Céline Roques, Aida Ripoll-Cladellas, Pierre Capy, Alejandro Sánchez-Gracia, Wenhua Tian, Paul D. Nabity, Pablo Librado, David Martínez-Torres, Paul A Umina, Joshua Wemmer, Stéphanie Robin, Rémy Félix Serre, Frédérique Hilliou, Nancy A. Moran, Iris Scatoni, Jennifer A. Brisson, Shanlin Liu, Mélanie Ribeiro Lopes, Gaëlle Le Goff, Pascale Roux, Nicolas Montagné, Nicolas Parisot, Jose Francisco Sánchez-Herrero, Silvia Hinojosa-Alvarez, Daciana Papura, Emmanuelle Jacquin-Joly, Ming Tang, Mohamed Makni, Astrid Forneck, Eric Lombaert, Xin Zhou, Ying Zhang, Carole Vincent-Monégat, Leticia Bao, Celeste R. Banfill, Miquel Barberà, Didac Santesmasses, Angela E. Douglas, Benjamin Joubard, Camille Meslin, Denis Tagu, Toni Gabaldón, and Serena Zhao

Subjects
Physiology, Genome, Insect, Adaptation, Biological, Plant Science, General Biochemistry, Genetics and Molecular Biology, Hemiptera, Structural Biology, Animals, Vitis, Phylloxera, lcsh:QH301-705.5, Ecology, Evolution, Behavior and Systematics, Whole genome sequencing, biology, Correction, Cell Biology, Biological Sciences, biology.organism_classification, Biological Evolution, lcsh:Biology (General), Evolutionary biology, PEST analysis, Adaptation, General Agricultural and Biological Sciences, Introduced Species, Animal Distribution, Biotechnology, Developmental Biology
Abstract

Although native to North America, the invasion of the aphid-like grape phylloxera Daktulosphaira vitifoliae across the globe altered the course of grape cultivation. For the past 150 years, viticulture relied on grafting-resistant North American Vitis species as rootstocks, thereby limiting genetic stocks tolerant to other stressors such as pathogens and climate change. Limited understanding of the insect genetics resulted in successive outbreaks across the globe when rootstocks failed. Here we report the 294-Mb genome of D. vitifoliae as a basic tool to understand host plant manipulation, nutritional endosymbiosis, and enhance global viticulture.Using a combination of genome, RNA, and population resequencing, we found grape phylloxera showed high duplication rates since its common ancestor with aphids, but similarity in most metabolic genes, despite lacking obligate nutritional symbioses and feeding from parenchyma. Similarly, no enrichment occurred in development genes in relation to viviparity. However, phylloxera evolved 2700 unique genes that resemble putative effectors and are active during feeding. Population sequencing revealed the global invasion began from the upper Mississippi River in North America, spread to Europe and from there to the rest of the world.The grape phylloxera genome reveals genetic architecture relative to the evolution of nutritional endosymbiosis, viviparity, and herbivory. The extraordinary expansion in effector genes also suggests novel adaptations to plant feeding and how insects induce complex plant phenotypes, for instance galls. Finally, our understanding of the origin of this invasive species and its genome provide genetics resources to alleviate rootstock bottlenecks restricting the advancement of viticulture.

Published
2020

6. The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Ying Zhang, Pascale Roux, Alex C.C. Wilson, Celeste R. Banfill, Roderic Guigó, Ming Tang, Carole Vincent-Monégat, Denis Tagu, Claude Rispe, Yi Min Hsiao, Angela E. Douglas, Daciana Papura, Keith Dufault-Thompson, Frédérique Hilliou, Shanlin Liu, Astrid Forneck, Nicolas Montagné, Eric Lombaert, Fabrice Legeai, Julio Rozas, Gaël Le Trionnaire, Yvan Rahbé, Anthony Bretaudeau, Jing Zhao, Silvia Hinojosa-Alvarez, Maryem Bouallègue, Joshua Wemmer, Stéphanie Robin, Jose Francisco Sánchez-Herrero, Pierre Capy, Federica Calevro, Xin Zhou, David Martínez-Torres, Martine Maïbèche, Patrice Baa-Puyoulet, Marina Marcet-Houben, Gaëlle Le Goff, Aida Ripoll-Cladellas, Mélanie Ribeiro Lopes, Wenhua Tian, Hsiao-ling Lu, François Delmotte, Toni Gabaldón, Arinder K. Arora, Paul A Umina, Rémy Félix Serre, Spencer Johnston, Olivier Catrice, Céline Roques, Paul D. Nabity, Serena Zhao, Pablo Librado, Miquel Barberà, Thomas Chertemps, Emmanuelle Jacquin-Joly, Benjamin Joubard, Leticia Bao, Jennifer A. Brisson, Camille Meslin, Honglin Feng, Manuella van Munster, Paula Escuer, Edward B. James, Rosa Fernández, Chaoyang Zhao, Mohamed Makni, Sylvie Hudaverdian, Nancy A. Moran, Iris Scatoni, Nicolas Parisot, Carole Couture, Didac Santesmasses, Laurent Delière, Alejandro Sánchez-Gracia, Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-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), Scalable, Optimized and Parallel Algorithms for Genomics (GenScale), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Department of Botany and Plant Sciences [Riverside], University of California [Riverside] (UCR), University of California-University of California, Centre for Genomic Regulation [Barcelona] (CRG), Universitat Pompeu Fabra [Barcelona] (UPF)-Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Institut de Biologia Evolutiva [Barcelona] (IBE / UPF - CSIC), Universitat Pompeu Fabra [Barcelona] (UPF), Cornell University [New York], Biologie Fonctionnelle, Insectes et Interactions (BF2I), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Miami [Coral Gables], Universidad de la República (UDELAR), Universitat de València (UV), Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis (FST), Université de Tunis El Manar (UTM), University of Rochester [USA], Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Interactions Plantes Microbes Environnement (LIPME), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Santé et agroécologie du vignoble (UMR SAVE), Université de Bordeaux (UB)-Institut des Sciences de la Vigne et du Vin (ISVV)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Rhode Island (URI), Université de Barcelonne, Boyce Thompson Institute [Ithaca], Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Institució Catalana de Recerca i Estudis Avançats (ICREA), Institut Sophia Agrobiotech (ISA), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Côte d'Azur (UCA), National Taiwan University [Taiwan] (NTU), Chang Gung Memorial Hospital [Taipei] (CGMH), Texas A&M University [College Station], Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Beijing Genomics Institute [Shenzhen] (BGI), China Agricultural University (CAU), MingDao University (MDU), University of Texas at Austin [Austin], Trafic et signalisation membranaires chez les bactéries (MTSB), Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Biologie et Génétique des Interactions Plante-Parasite (UMR BGPI), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Sciences pour l'environnement (SPE), Centre National de la Recherche Scientifique (CNRS)-Université Pascal Paoli (UPP), 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), Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), University of California, University of Melbourne, INRAE (France), Juan de la Cierva-Incorporacion Fellowship (Government of Spain) : IJCI-2015-26627, Marie Sklodowska-Curie Fellowship : 747607, US National Institute of Food and Agriculture : 12216941, University of Miami Maytag Fellowship from the Department of Biology, William H. Evoy Graduate Research Support Fund from the Department of Biology, Molecular Biosciences Graduate Research, Award from the Department of Biology, Springer Nature, European Project: 764840,IGNITE, École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Rennes (UR)-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), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), University of California [Riverside] (UC Riverside), University of California (UC)-University of California (UC), Department of Entomology [CALS], College of Agriculture and Life Sciences [Cornell University] (CALS), Cornell University [New York]-Cornell University [New York], Universidad de la República [Montevideo] (UDELAR), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universitat de Barcelona (UB), Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Université Pascal Paoli (UPP)-Centre National de la Recherche Scientifique (CNRS), 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), University of California (UC), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon, European Commission, Ministerio de Economía y Competitividad (España), National Institute of Food and Agriculture (US), Miami University, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPC)-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 Toulouse III - Paul Sabatier (UT3), Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique)

Subjects
0106 biological sciences, Fil·loxera, Physiology, [SDV]Life Sciences [q-bio], Introduced species, Plant Science, 01 natural sciences, Genome, Gene duplications, Structural Biology, Vitis, lcsh:QH301-705.5, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, 0303 health sciences, education.field_of_study, Host plant interactions, Endosymbiosis, biology, food and beverages, Biological Sciences, Biological Evolution, General Agricultural and Biological Sciences, Rootstock, Infection, Daktulosphaira vitifoliae, Biotechnology, Research Article, Population, 010603 evolutionary biology, General Biochemistry, Genetics and Molecular Biology, Hemiptera, 03 medical and health sciences, Genetics, Insect pests, Animals, Plagues d'insectes, Adaptation, Biological invasions, Genomes, education, Phylloxera, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Obligate, Human Genome, Viticultura, Cell Biology, 15. Life on land, biology.organism_classification, Biological, Effectors, Climate Action, lcsh:Biology (General), 13. Climate action, Evolutionary biology, Arthropod genomes, Introduced Species, Insect, Animal Distribution, Developmental Biology
Abstract

Background: Although native to North America, the invasion of the aphid-like grape phylloxera Daktulosphaira vitifoliae across the globe altered the course of grape cultivation. For the past 150 years, viticulture relied on grafting-resistant North American Vitis species as rootstocks, thereby limiting genetic stocks tolerant to other stressors such as pathogens and climate change. Limited understanding of the insect genetics resulted in successive outbreaks across the globe when rootstocks failed. Here we report the 294-Mb genome of D. vitifoliae as a basic tool to understand host plant manipulation, nutritional endosymbiosis, and enhance global viticulture. Results: Using a combination of genome, RNA, and population resequencing, we found grape phylloxera showed high duplication rates since its common ancestor with aphids, but similarity in most metabolic genes, despite lacking obligate nutritional symbioses and feeding from parenchyma. Similarly, no enrichment occurred in development genes in relation to viviparity. However, phylloxera evolved > 2700 unique genes that resemble putative effectors and are active during feeding. Population sequencing revealed the global invasion began from the upper Mississippi River in North America, spread to Europe and from there to the rest of the world. Conclusions: The grape phylloxera genome reveals genetic architecture relative to the evolution of nutritional endosymbiosis, viviparity, and herbivory. The extraordinary expansion in effector genes also suggests novel adaptations to plant feeding and how insects induce complex plant phenotypes, for instance galls. Finally, our understanding of the origin of this invasive species and its genome provide genetics resources to alleviate rootstock bottlenecks restricting the advancement of viticulture., This work has been funded by INRAE (France) and by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 764840 for the ITN IGNITE project. Rosa Fernandez was funded by a Juan de la Cierva-Incorporación Fellowship (Government of Spain, IJCI-2015-26627) and a Marie Skłodowska-Curie Fellowship (747607). Angela Douglas was supported by the US National Institute of Food and Agriculture Grant 12216941. Honglin Feng was supported by a University of Miami Maytag Fellowship, William H. Evoy Graduate Research Support Fund, and a Molecular Biosciences Graduate Research Award from the Department of Biology.

Published
2020
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7. First Report of Sugarcane yellow leaf virus Infecting Barley in Tunisia

Author

Mohamed Makni, Maryem Bouallègue, Maha Mezghani-Khemakhem, and Hanem Makni

Subjects
Serotype, Veterinary medicine, food.ingredient, biology, Melanaphis sacchari, Rhopalosiphum maidis, RNA virus, Plant Science, biology.organism_classification, Polerovirus, food, Barley yellow dwarf, Plant virus, Botany, Hordeum vulgare, Agronomy and Crop Science
Abstract

Sugarcane yellow leaf virus (ScYLV) causes severe leaf symptoms in sugarcane (Saccharum spp.). It is a single-stranded RNA virus assigned to the genus Polerovirus, family Luteoviridae (1). ScYLV is transmitted by two aphid species, Melanaphis sacchari and Rhopalosiphum maidis. Although barley (Hordeum vulgare), oats (Avena sativa), and wheat (Triticum spp.) are susceptible to ScYLV when experimentally inoculated (3), this virus, related serologically to Barley yellow dwarf virus (BYDV)-RPV (4), has never been detected naturally in these cereals. In this study, 240 barley leaves were randomly collected from six fields in Tunisia following a north-south trend during the high infestation periods (March/April) in the 2013 growing season. Samples were tested by DAS-ELISA, using three antibodies (Bioreba AG, Switzerland), two of them, BYDV-B and BYDV-F, specific to luteoviruses corresponding to BYDV-PAV and BYDV-MAV, respectively, and the third one, BYDV-RPV, specific to the polerovirus synonymous to Cereal yellow dwarf virus (CYDV)-RPV. Based on DAS-ELISA, 30 samples were found positive for B/CYDV infection; 17 out of the 30 infected samples contained a single serotype, BYDV-PAV, and 13 out of the 30 infected samples contained two serotypes, PAV and RPV. Total RNA was extracted from all positive samples, and RT-PCR of the viral CP gene was performed with Lu1/Lu4 primers (2). A product of 531 bp was cloned and sequenced. The identities among the sequences determined varied between 80 to 100%, and from the 17 samples containing BYDV-PAV, six distinct BYDV-PAV sequences were revealed and named PAV-TN1 to PAV-TN6 (GenBank Accession No. JX402453 to JX402457 and KF271792). Fortuitously, all 13 positive samples corresponding to the serotypes PAV-RPV exhibited 98.7 to 99.3% identity with ScYLV isolates. These 13 samples contained three distinct sequences that were named ScYLV-Tun1 to ScYLV-Tun3 (GenBank Accession No. KF836888 to KF836890). Of the 17 PAV-positive samples collected, six were infected with PAV-TN1, four with PAV-TN2, four with PAV-TN3, one with PAV-TN4, one with PAV-TN5, and the last one with PAV-TN6. Of the 13 ScYLV-positive samples, seven were infected with ScYLV-Tun1, four with ScYLV-Tun2, and two with ScYLV-Tun3. Phylogenetic analysis showed that PAV-TN sequences formed a very tight cluster (>98%) corresponding to BYDV subspecies PAV-II, whereas all three Tunisian ScYLV sequences were clustered together. This study provides the first report of ScYLV isolates infecting barley crops in Tunisia, and confirms serological cross-reactivity between ScYLV and BYDV-RPV when commercial antibodies against BYDV-RPV are used. References: (1) C. J. D'Arcy and L. L. Domier. Page 891 in: Virus Taxonomy, 8th Report of the ICTV. C. M. Fauquet et al., eds. Springer-Verlag, New York, 2005. (2) N. L. Robertson and R. French. J. Gen. Virol. 72:1473, 1991. (3) S. Schenck and A. T. Lehrer. Plant Dis. 84:1085, 2000. (4) J. Vega et al. Plant Dis. 81:21, 1997.

Published
2014
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8. Additional file 1 of The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Rispe, Claude, Legeai, Fabrice, Nabity, Paul D., Fernández, Rosa, Arinder K. Arora, Baa-Puyoulet, Patrice, Banfill, Celeste R., Bao, Leticia, Barberà, Miquel, Maryem Bouallègue, Bretaudeau, Anthony, Brisson, Jennifer A., Calevro, Federica, Capy, Pierre, Catrice, Olivier, Chertemps, Thomas, Couture, Carole, Delière, Laurent, Douglas, Angela E., Dufault-Thompson, Keith, Escuer, Paula, Honglin Feng, Forneck, Astrid, Gabaldón, Toni, Guigó, Roderic, Hilliou, Frédérique, Hinojosa-Alvarez, Silvia, Hsiao, Yi-Min, Hudaverdian, Sylvie, Jacquin-Joly, Emmanuelle, James, Edward B., Johnston, Spencer, Joubard, Benjamin, Goff, Gaëlle Le, Trionnaire, Gaël Le, Librado, Pablo, Shanlin Liu, Lombaert, Eric, Hsiao-Ling Lu, Maïbèche, Martine, Makni, Mohamed, Marcet-Houben, Marina, Martínez-Torres, David, Meslin, Camille, Montagné, Nicolas, Moran, Nancy A., Papura, Daciana, Parisot, Nicolas, Rahbé, Yvan, Lopes, Mélanie Ribeiro, Ripoll-Cladellas, Aida, Robin, Stéphanie, Roques, Céline, Roux, Pascale, Rozas, Julio, Sánchez-Gracia, Alejandro, Sánchez-Herrero, Jose F., Didac Santesmasses, Scatoni, Iris, Rémy-Félix Serre, Tang, Ming, Wenhua Tian, Umina, Paul A., Munster, Manuella Van, Vincent-Monégat, Carole, Wemmer, Joshua, Wilson, Alex C. C., Zhang, Ying, Chaoyang Zhao, Zhao, Jing, Zhao, Serena, Zhou, Xin, Delmotte, François, and Tagu, Denis

Subjects
2. Zero hunger
Abstract

Additional file 1: Figures. S1-S22, Table S1-S20, Methods and Results. Figure S1. Mitochondrial genome view of grape phylloxera. Figure S2. Proportion of transposable elements (TE) in the genome. Figure S3. GO terms of phylloxera-specific genes. Figure S4. Enriched GO terms in the phylloxera genome with and without TEs. Figure S5. Gene gain/loss at different nodes or branches. Figure S6. Species phylogenetic tree based on insect genomes and the transcriptomes of Planoccoccus citri and Adelges tsugae. Figure S7. Diagram of the gap-filling and annotation process. Figure S8. Urea cycle in D. vitifoliae and A. pisum. Figure S9. IMD immune pathway in D. vitifoliae.Figure S10. Phylogenetic tree of RR-1 cuticular proteins.Figure S11. Phylogenetic tree of RR-2 cuticular proteins.Figure S12. Comparison of miRNAs in D. vitifoliae and other insect genomes. Figure S13. Phylogenetic tree of aquaporin protein sequences. Figure S14. Comparison of the phylloxera PER protein with other insects. Figure S15. Amino acid alignment of PTTH amino acid sequences. Figure S16. Phylogeny of hemipteran ORs. Figure S17. Phylogeny of hemipteran GRs. Figure S18. Phylogenetic analysis of OBPs. Figure S19. Phylogenetic analysis of CSPs. Figure S20. Phylogenetic analysis of NPC2s. Figure S21. Distribution of cluster sizes of putative effectors. Figure S22. Physical distribution of the three largest clusters of effectors. Table S1. Genes of bacterial and fungal origin. Table S2. Statistics on TEs. Table S3. GO enrichment of genes duplicated at different ancestral nodes. Table S4. Metabolic gaps in the D. vitifoliae reaction network. Table S5. Functional annotation of metabolic genes. Table S6. Genes of the TOLL pathway. Table S7. Genes of the IMD pathway. Table S8. Statistics on cuticular proteins. Table S9. Developmental genes in D. vitifoliae and A. pisum. Table S10. miRNAs. Table S11. Clock-related genes. Table S12. List of ORs and GRs. Table S13. Number of OBPs, CSPs and NPC2s. Table S14. List of Cytochromes P450. Table S15. List of genes involved in detoxification. Table S16. Effector genes with predicted domains and their corresponding functions. Table S17. Statistics on sequence reads and SRA accessions used for the reference genome. Table S18. List of species used to study gene expansions. Table S19. Sampling sites and SRA used for population genomics analyses. Table S20. Prior distribution of parameters used for ABC modeling of invasion routes.

9. Additional file 1 of The genome sequence of the grape phylloxera provides insights into the evolution, adaptation, and invasion routes of an iconic pest

Author

Rispe, Claude, Legeai, Fabrice, Nabity, Paul D., Fernández, Rosa, Arinder K. Arora, Baa-Puyoulet, Patrice, Banfill, Celeste R., Bao, Leticia, Barberà, Miquel, Maryem Bouallègue, Bretaudeau, Anthony, Brisson, Jennifer A., Calevro, Federica, Capy, Pierre, Catrice, Olivier, Chertemps, Thomas, Couture, Carole, Delière, Laurent, Douglas, Angela E., Dufault-Thompson, Keith, Escuer, Paula, Honglin Feng, Forneck, Astrid, Gabaldón, Toni, Guigó, Roderic, Hilliou, Frédérique, Hinojosa-Alvarez, Silvia, Hsiao, Yi-Min, Hudaverdian, Sylvie, Jacquin-Joly, Emmanuelle, James, Edward B., Johnston, Spencer, Joubard, Benjamin, Goff, Gaëlle Le, Trionnaire, Gaël Le, Librado, Pablo, Shanlin Liu, Lombaert, Eric, Hsiao-Ling Lu, Maïbèche, Martine, Makni, Mohamed, Marcet-Houben, Marina, Martínez-Torres, David, Meslin, Camille, Montagné, Nicolas, Moran, Nancy A., Papura, Daciana, Parisot, Nicolas, Rahbé, Yvan, Lopes, Mélanie Ribeiro, Ripoll-Cladellas, Aida, Robin, Stéphanie, Roques, Céline, Roux, Pascale, Rozas, Julio, Sánchez-Gracia, Alejandro, Sánchez-Herrero, Jose F., Didac Santesmasses, Scatoni, Iris, Rémy-Félix Serre, Tang, Ming, Wenhua Tian, Umina, Paul A., Munster, Manuella Van, Vincent-Monégat, Carole, Wemmer, Joshua, Wilson, Alex C. C., Zhang, Ying, Chaoyang Zhao, Zhao, Jing, Zhao, Serena, Zhou, Xin, Delmotte, François, and Tagu, Denis

Subjects
2. Zero hunger
Abstract

Additional file 1: Figures. S1-S22, Table S1-S20, Methods and Results. Figure S1. Mitochondrial genome view of grape phylloxera. Figure S2. Proportion of transposable elements (TE) in the genome. Figure S3. GO terms of phylloxera-specific genes. Figure S4. Enriched GO terms in the phylloxera genome with and without TEs. Figure S5. Gene gain/loss at different nodes or branches. Figure S6. Species phylogenetic tree based on insect genomes and the transcriptomes of Planoccoccus citri and Adelges tsugae. Figure S7. Diagram of the gap-filling and annotation process. Figure S8. Urea cycle in D. vitifoliae and A. pisum. Figure S9. IMD immune pathway in D. vitifoliae.Figure S10. Phylogenetic tree of RR-1 cuticular proteins.Figure S11. Phylogenetic tree of RR-2 cuticular proteins.Figure S12. Comparison of miRNAs in D. vitifoliae and other insect genomes. Figure S13. Phylogenetic tree of aquaporin protein sequences. Figure S14. Comparison of the phylloxera PER protein with other insects. Figure S15. Amino acid alignment of PTTH amino acid sequences. Figure S16. Phylogeny of hemipteran ORs. Figure S17. Phylogeny of hemipteran GRs. Figure S18. Phylogenetic analysis of OBPs. Figure S19. Phylogenetic analysis of CSPs. Figure S20. Phylogenetic analysis of NPC2s. Figure S21. Distribution of cluster sizes of putative effectors. Figure S22. Physical distribution of the three largest clusters of effectors. Table S1. Genes of bacterial and fungal origin. Table S2. Statistics on TEs. Table S3. GO enrichment of genes duplicated at different ancestral nodes. Table S4. Metabolic gaps in the D. vitifoliae reaction network. Table S5. Functional annotation of metabolic genes. Table S6. Genes of the TOLL pathway. Table S7. Genes of the IMD pathway. Table S8. Statistics on cuticular proteins. Table S9. Developmental genes in D. vitifoliae and A. pisum. Table S10. miRNAs. Table S11. Clock-related genes. Table S12. List of ORs and GRs. Table S13. Number of OBPs, CSPs and NPC2s. Table S14. List of Cytochromes P450. Table S15. List of genes involved in detoxification. Table S16. Effector genes with predicted domains and their corresponding functions. Table S17. Statistics on sequence reads and SRA accessions used for the reference genome. Table S18. List of species used to study gene expansions. Table S19. Sampling sites and SRA used for population genomics analyses. Table S20. Prior distribution of parameters used for ABC modeling of invasion routes.

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