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7 results on '"Carré, Wilfrid"'

1. De Novo Mutations in Protein Kinase Genes CAMK2A and CAMK2B Cause Intellectual Disability

Author

Küry, Sébastien, van Woerden, Geeske M, Besnard, Thomas, Proietti Onori, Martina, Latypova, Xénia, Towne, Meghan C, Cho, Megan T., Prescott, Trine E, Ploeg, Melissa A, Sanders, Jan-Stephan, Stessman, Holly A F, Pujol, Aurora, Distel, Ben, Robak, Laurie A, Bernstein, Jonathan A, Denommé-Pichon, Anne-Sophie, Lesca, Gaëtan, Sellars, Elizabeth A, Berg, Jonathan, Carré, Wilfrid, Busk, Øyvind Løvold, van Bon, Bregje W M, Waugh, Jeff L, Deardorff, Matthew, Hoganson, George E, Bosanko, Katherine B, Johnson, Diana S, Dabir, Tabib, Holla, Øystein Lunde, Sarkar, Ajoy, Tveten, Kristian, de Bellescize, Julitta, Braathen, Geir J, Terhal, Paulien A, Grange, Dorothy K, van Haeringen, Arie, Lam, Christina, Mirzaa, Ghayda, Burton, Jennifer, Bhoj, Elizabeth J., Douglas, Jessica, Santani, Avni B, Nesbitt, Addie I, Helbig, Katherine L, Andrews, Marisa V, Begtrup, Amber, Tang, Sha, van Gassen, Koen L I, Juusola, Jane, Verbeek, Nienke E, and Undiagnosed Diseases Network

Subjects
CAMK2, CAMK2A, NMDAR, CAMK2B, synaptic plasticity, intellectual disability, Journal Article, de novo mutations, AMPAR
Abstract

Calcium/calmodulin-dependent protein kinase II (CAMK2) is one of the first proteins shown to be essential for normal learning and synaptic plasticity in mice, but its requirement for human brain development has not yet been established. Through a multi-center collaborative study based on a whole-exome sequencing approach, we identified 19 exceedingly rare de novo CAMK2A or CAMK2B variants in 24 unrelated individuals with intellectual disability. Variants were assessed for their effect on CAMK2 function and on neuronal migration. For both CAMK2A and CAMK2B, we identified mutations that decreased or increased CAMK2 auto-phosphorylation at Thr286/Thr287. We further found that all mutations affecting auto-phosphorylation also affected neuronal migration, highlighting the importance of tightly regulated CAMK2 auto-phosphorylation in neuronal function and neurodevelopment. Our data establish the importance of CAMK2A and CAMK2B and their auto-phosphorylation in human brain function and expand the phenotypic spectrum of the disorders caused by variants in key players of the glutamatergic signaling pathway.

Published
2017

2. De Novo Mutations in Protein Kinase Genes CAMK2A and CAMK2B Cause Intellectual Disability

Author

Küry, Sébastien, van Woerden, Geeske M, Besnard, Thomas, Proietti Onori, Martina, Latypova, Xénia, Towne, Meghan C, Cho, Megan T, Prescott, Trine E, Ploeg, Melissa A, Sanders, Stephan, Stessman, Holly AF, Pujol, Aurora, Distel, Ben, Robak, Laurie A, Bernstein, Jonathan A, Denommé-Pichon, Anne-Sophie, Lesca, Gaëtan, Sellars, Elizabeth A, Berg, Jonathan, Carré, Wilfrid, Busk, Øyvind Løvold, van Bon, Bregje WM, Waugh, Jeff L, Deardorff, Matthew, Hoganson, George E, Bosanko, Katherine B, Johnson, Diana S, Dabir, Tabib, Holla, Øystein Lunde, Sarkar, Ajoy, Tveten, Kristian, de Bellescize, Julitta, Braathen, Geir J, Terhal, Paulien A, Grange, Dorothy K, van Haeringen, Arie, Lam, Christina, Mirzaa, Ghayda, Burton, Jennifer, Bhoj, Elizabeth J, Douglas, Jessica, Santani, Avni B, Nesbitt, Addie I, Helbig, Katherine L, Andrews, Marisa V, Begtrup, Amber, Tang, Sha, van Gassen, Koen LI, Juusola, Jane, Foss, Kimberly, Enns, Gregory M, Moog, Ute, Hinderhofer, Katrin, Paramasivam, Nagarajan, Lincoln, Sharyn, Kusako, Brandon H, Lindenbaum, Pierre, Charpentier, Eric, Nowak, Catherine B, Cherot, Elouan, Simonet, Thomas, Ruivenkamp, Claudia AL, Hahn, Sihoun, Brownstein, Catherine A, Xia, Fan, Schmitt, Sébastien, Deb, Wallid, Bonneau, Dominique, Nizon, Mathilde, Quinquis, Delphine, Chelly, Jamel, Rudolf, Gabrielle, Sanlaville, Damien, Parent, Philippe, Gilbert-Dussardier, Brigitte, Toutain, Annick, Sutton, Vernon R, Thies, Jenny, Peart-Vissers, Lisenka ELM, Boisseau, Pierre, Vincent, Marie, Grabrucker, Andreas M, Dubourg, Christèle, Undiagnosed Diseases Network, Tan, Wen-Hann, Verbeek, Nienke E, Granzow, Martin, Santen, Gijs WE, Shendure, Jay, Isidor, Bertrand, Pasquier, Laurent, Redon, Richard, Yang, Yaping, State, Matthew W, Kleefstra, Tjitske, Cogné, Benjamin, GEM HUGO, Deciphering Developmental Disorders Study, Petrovski, Slavé, and Retterer, Kyle

Subjects
Male, Intellectual and Developmental Disabilities (IDD), 1.1 Normal biological development and functioning, Glutamic Acid, de novo mutations, AMPAR, Inbred C57BL, Medical and Health Sciences, Cell Line, Mice, Underpinning research, Intellectual Disability, Genetics, Animals, Humans, 2.1 Biological and endogenous factors, Exome, Phosphorylation, Aetiology, Neurons, Pediatric, Genetics & Heredity, synaptic plasticity, Neurosciences, Brain, Undiagnosed Diseases Network, Deciphering Developmental Disorders Study, Biological Sciences, Brain Disorders, CAMK2, CAMK2A, NMDAR, CAMK2B, HEK293 Cells, GEM HUGO, Mutation, Neurological, Female, Calcium-Calmodulin-Dependent Protein Kinase Type 2, Signal Transduction
Abstract

Calcium/calmodulin-dependent protein kinase II (CAMK2) is one of the first proteins shown to be essential for normal learning and synaptic plasticity in mice, but its requirement for human brain development has not yet been established. Through a multi-center collaborative study based on a whole-exome sequencing approach, we identified 19 exceedingly rare de novo CAMK2A or CAMK2B variants in 24 unrelated individuals with intellectual disability. Variants were assessed for their effect on CAMK2 function and on neuronal migration. For both CAMK2A and CAMK2B, we identified mutations that decreased or increased CAMK2 auto-phosphorylation at Thr286/Thr287. We further found that all mutations affecting auto-phosphorylation also affected neuronal migration, highlighting the importance of tightly regulated CAMK2 auto-phosphorylation in neuronal function and neurodevelopment. Our data establish the importance of CAMK2A and CAMK2B and their auto-phosphorylation in human brain function and expand the phenotypic spectrum of the disorders caused by variants in key players of the glutamatergic signaling pathway.

Published
2017

3. Mutational Spectrum in Holoprosencephaly Shows That FGF is a New Major Signaling Pathway

Author

Dubourg, Christèle, Carré, Wilfrid, Hamdi-Rozé, Houda, Mouden, Charlotte, Roume, Joëlle, Abdelmajid, Benmansour, Amram, Daniel, Baumann, Clarisse, Chassaing, Nicolas, Coubes, Christine, Faivre-Olivier, Laurence, Ginglinger, Emmanuelle, Gonzales, Marie, Levy-Mozziconacci, Annie, Lynch, Sally-Ann, Naudion, Sophie, Pasquier, Laurent, Poidvin, Amélie, Prieur, Fabienne, Sarda, Pierre, Toutain, Annick, Dupé, Valérie, Akloul, Linda, Odent, Sylvie, Tayrac, Marie, David, Véronique, 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 ), Service de biologie moléculaire, Hôpital Pontchaillou, Service de Génétique, Hôpital Poissy-saint Germain, Service de Pneumologie [CHI Créteil], CHI Créteil, Département de Génétique Médicale, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Service de Génétique Clinique, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre de génétique - Centre de référence des maladies rares, anomalies du développement et syndromes malformatifs (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Emile Muller [Mulhouse] (CH E.Muller Mulhouse), Groupe Hospitalier de Territoire Haute Alsace (GHTHA), CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Gynécologie et Obstétrique [Marseille], Hôpital de la Conception [CHU - APHM] (LA CONCEPTION), CHU Bordeaux [Bordeaux], CHU Pontchaillou [Rennes], Service de neuropédiatrie et maladies métaboliques [CHU Robert-Debré], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), CHU Montpellier, Service de génétique [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau, Service de génétique clinique [Rennes], Université de Rennes (UR)-CHU Pontchaillou [Rennes]-hôpital Sud, Chung Hua University, 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 ), Centre Hospitalier Universitaire de Toulouse, Service de génétique et embryologie médicales [CHU Trousseau], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CHU Pontchaillou [Rennes]-hôpital Sud, and Hôpital Bretonneau-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)

Subjects
Male, musculoskeletal diseases, congenital, hereditary, and neonatal diseases and abnormalities, multigenic inheritance, brain malformation, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Fibroblast Growth Factors, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Mutation, Holoprosencephaly, Humans, Female, Genetic Predisposition to Disease, Hedgehog Proteins, targeted NGS, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Receptor, Fibroblast Growth Factor, Type 1, FGF signaling pathway, Signal Transduction
Abstract

International audience; Holoprosencephaly (HPE) is the most common congenital cerebral malformation in humans, characterized by impaired forebrain cleavage and midline facial anomalies. It presents a high heterogeneity, both in clinics and genetics. We have developed a novel targeted next-generation sequencing (NGS) assay and screened a cohort of 257 HPE patients. Mutations with high confidence in their deleterious effect were identified in approximately 24% of the cases and were held for diagnosis, whereas variants of uncertain significance were identified in 10% of cases. This study provides a new classification of genes that are involved in HPE. SHH, ZIC2, and SIX3 remain the top genes in term of frequency with GLI2, and are followed by FGF8 and FGFR1. The three minor HPE genes identified by our study are DLL1, DISP1, and SUFU. Here, we demonstrate that fibroblast growth factor signaling must now be considered a major pathway involved in HPE. Interestingly, several cases of double mutations were found and argue for a polygenic inheritance of HPE. Altogether, it supports that the implementation of NGS in HPE diagnosis is required to improve genetic counseling.

Published
2016
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4. microRNAs and the evolution of complex multicellularity: identification of a large, diverse complement of microRNAs in the brown alga Ectocarpus

Author

Tarver, James E, Cormier, Alexandre, Pinzón, Natalia, Taylor, Richard S, Carré, Wilfrid, Strittmatter, Martina, Seitz, Hervé, Coelho, Susana M., Cock, J. Mark, School of Earth Sciences [Bristol], University of Bristol [Bristol], Genome Evolution Laboratory, National University of Ireland Maynooth (Maynooth University), Laboratoire de Biologie Intégrative des Modèles Marins (LBI2M), 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), Institut de génétique humaine (IGH), and Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Evolution, Molecular, MicroRNAs, Genome, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Genetic Loci, Sequence Analysis, RNA, Genetic Variation, Genomics, Phaeophyta, Polymerase Chain Reaction
Abstract

International audience; There is currently convincing evidence that microR-NAs have evolved independently in at least six different eukaryotic lineages: animals, land plants, chloro-phyte green algae, demosponges, slime molds and brown algae. MicroRNAs from different lineages are not homologous but some structural features are strongly conserved across the eukaryotic tree allowing the application of stringent criteria to identify novel microRNA loci. A large set of 63 microRNA families was identified in the brown alga Ectocar-pus based on mapping of RNA-seq data and nine microRNAs were confirmed by northern blotting. The Ectocarpus microRNAs are highly diverse at the sequence level with few multi-gene families, and do not tend to occur in clusters but exhibit some highly conserved structural features such as the presence of a uracil at the first residue. No homologues of Ecto-carpus microRNAs were found in other stramenopile genomes indicating that they emerged late in stra-menopile evolution and are perhaps specific to the brown algae. The large number of microRNA loci in Ectocarpus is consistent with the developmental complexity of many brown algal species and supports a proposed link between the emergence and expansion of microRNA regulatory systems and the evolution of complex multicellularity.

Published
2015
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5. Toward a French cyber Galaxy ?

Author

Caron, Christophe, Carré, Wilfrid, Cormier, Alexandre, Derozier, Sandra, Giacomoni, Franck, Inizan, Olivier, Le Corguillé, Gildas, Lermine, Alban, Maman Haddad, SARAH, Pericard, Pierre, Samson, Franck, Station biologique, Centre National de la Recherche Scientifique (CNRS), Unité Mathématique Informatique et Génome (MIG), Institut National de la Recherche Agronomique (INRA), Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Unité de Recherche Génomique Info (URGI), Institut Curie [Paris], Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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), 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

Subjects
Galaxy, training, workflow, NGS, tools integration, data sharing, [SDV]Life Sciences [q-bio], [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [INFO]Computer Science [cs], [MATH]Mathematics [math]
Abstract

International audience; The success of the open web based platform “Galaxy” is growing among scientific communities. The French Institute of Bioinformatics (IFB) wishes to initiate a collaborative work dedicated to scientific workflows and especially to the Galaxy platform. We report here the main items on which future collaborations could be build: (i) software and hardware architecture, (ii) tools integration and (iii) training. High throughput technologies advent significantly alters analysis behaviour and strategy with mobilization of new infrastructure, new tools and new skills. IFB decided to conduct a cross action on "workflows" data analysis solutions, and especially on the Galaxy platform. The first item called "software and hardware architecture" addresses the operational issues in production environments, the potential for automating deployment tasks and the monitoring solutions for Galaxy servers. With the second one, "Tools integration" we aim to provide processes facilitating tool interfacing in a Galaxy instance. Priority will be the development of a good practice guide, as well as a technology watch around the methods proposed by the international community. We also want to promote the sharing of training activities at national level (such as the Aviesan Bioinformatics school, January 2013 - http://galaxy-ecole.sb-roscoff.fr/) and ensure a smooth transition to new uses, such as E-learning. A first working group is already effective. Previous items will be improved in the coming months thanks to a specific dedicated wiki and the first French Galaxy Workshop this autumn.

Published
2013

6. Dietary intervention impact on gut microbial gene richness

Author

Cotillard, Aurélie, Kennedy, Sean P., Kong, Ling Chun, Prifti, Edi, Pons, Nicolas, Le Chatelier, Emmanuelle, Almeida, Mathieu, Quinquis, Benoit, Levenez, Florence, Galleron, Nathalie, Gougis, Sophie, Rizkalla, Salwa, Batto, Jean-Michel, Renault, Pierre, consortium, ANR MicroObes, Doré, Joel, Zucker, Jean-Daniel, Clément, Karine, Ehrlich, Stanislav Dusko, Blottière, Hervé, Leclerc, Marion, Juste, Catherine, de Wouters, Tomas, Lepage, Patricia, Fouqueray, Charlene, Basdevant, Arnaud, Henegar, Cornelieu, Godard, Cindy, Fondacci, Marine, Rohia, Alili, Hajduch, Froogh, Weissenbach, Jean, Pelletier, Eric, Le Paslier, Denis, Gauchi, Jean-Pierre, Gibrat, Jean-François, Loux, Valentin, Carré, Wilfrid, Maguin, Emmanuelle, van de Guchte, Maarten, Jamet, Alexandre, Boumezbeur, Fouad, Layec, Séverine, U872 Centre de Recherche des Cordeliers, Nutriomique, Équipe 7, Centre de Recherche des Cordeliers (CRC (UMR_S 872)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), MetaGénoPolis, Institut National de la Recherche Agronomique (INRA), Centre de Recherche en Nutrition Humaine d'Ile-de-France (CRNH Ile-de-France), Institute of Cardiometabolism and Nutrition, Assistance Publique - Hôpitaux de Paris, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Université Cadi Ayyad [Marrakech] (UCA)-Universtié Yaoundé 1 [Cameroun]-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Université Pierre et Marie Curie - Paris 6 (UPMC), MetaGenoPolis, Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA), Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de Recherche des Cordeliers ( CRC (UMR_S 872) ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut National de Recherche Agronomique, MICrobiologie de l'ALImentation au Service de la Santé humaine ( MICALIS ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] ( UMMISCO ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop ( UCAD ) -Université Gaston Bergé (Saint-Louis, Sénégal)-Universtié Yaoundé 1 [Cameroun]-University Cadi Ayyad ( UCA )

Subjects
index, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, obesity, Zoology, 030209 endocrinology & metabolism, Overweight, Gut flora, resistance, 03 medical and health sciences, 0302 clinical medicine, Weight loss, medicine, insulin sensitivity, overweight, [ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, Multidisciplinary, biology, business.industry, biology.organism_classification, medicine.disease, Obesity, 3. Good health, Biotechnology, Metagenomics, inflammation, Genomic Profile, mass, Enterotype, Species richness, medicine.symptom, business
Abstract

Complex gene-environment interactions are considered important in the development of obesity(1). The composition of the gut microbiota can determine the efficacy of energy harvest from food(2-4) and changes in dietary composition have been associated with changes in the composition of gut microbial populations(5,6). The capacity to explore microbiota composition was markedly improved by the development of metagenomic approaches(7,8), which have already allowed production of the first human gut microbial gene catalogue(9) and stratifying individuals by their gut genomic profile into different enterotypes(10), but the analyses were carried out mainly in nonintervention settings. To investigate the temporal relationships between food intake, gut microbiota and metabolic and inflammatory phenotypes, we conducted diet-induced weight-loss and weight-stabilization interventions in a study sample of 38 obese and 11 overweight individuals. Here we report that individuals with reduced microbial gene richness (40%) present more pronounced dys-metabolism and low-grade inflammation, as observed concomitantly in the accompanying paper(11). Dietary intervention improves low gene richness and clinical phenotypes, but seems to be less efficient for inflammation variables in individuals with lower gene richness. Low gene richness may therefore have predictive potential for the efficacy of intervention.

Published
2013
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7. Mapping quantitative trait loci affecting fatness and breast muscle weight in meat-type chicken lines divergently selected on abdominal fatness

Author

Lagarrigue, Sandrine, Pitel, Frédérique, Carré, Wilfrid, Abasht, Behnam, Le Roy, Pascale, Neau, André, Sourdioux, Michel, Simon, Jean, Aggrey, Sammy, Leclercq, Bernard, Renseigné, Non, and Douaire, Madeleine

Subjects
[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, quantitative trait locus, chicken, abdominal fat, food and beverages, breast muscle
Abstract

International audience; Quantitative trait loci (QTL) for abdominal fatness and breast muscle weight were investigated in a three-generation design performed by inter-crossing two experimental meat-type chicken lines that were divergently selected on abdominal fatness. A total of 585 F$_{2}$ male offspring from 5 F$_{1}$ sires and 38 F$_{1}$ dams were recorded at 8 weeks of age for live body, abdominal fat and breast muscle weights. One hundred-twenty nine microsatellite markers, evenly located throughout the genome and heterozygous for most of the F$_{1}$ sires, were used for genotyping the F$_2$ birds. In each sire family, those offspring exhibiting the most extreme values for each trait were genotyped. Multipoint QTL analyses using maximum likelihood methods were performed for abdominal fat and breast muscle weights, which were corrected for the effects of 8-week body weight, dam and hatching group. Isolated markers were assessed by analyses of variance. Two significant QTL were identified on chromosomes 1 and 5 with effects of about one within-family residual standard deviation. One breast muscle QTL was identified on GGA1 with an effect of 2.0 within-family residual standard deviation.

Published
2006

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