Publications

Found 25 results
Filters: Keyword is Cattle  [Clear All Filters]
2024
Mapel XMarie, Kadri NKumar, Leonard AS, et al. Molecular quantitative trait loci in reproductive tissues impact male fertility in cattle. Nat Commun. 2024;15(1):674. doi:10.1038/s41467-024-44935-7.
2023
Ben-Jemaa S, Adam G, Boussaha M, et al. Whole genome sequencing reveals signals of adaptive admixture in Creole cattle. Sci Rep. 2023;13(1):12155. doi:10.1038/s41598-023-38774-7.
2022
Robic A, Cerutti C, Demars J, Kühn C. From the comparative study of a circRNA originating from an mammalian ATXN2L intron to understanding the genesis of intron lariat-derived circRNAs. Biochim Biophys Acta Gene Regul Mech. 2022;1865(4):194815. doi:10.1016/j.bbagrm.2022.194815.
2020
Garcia-Baccino CA, Lourenco DAL, Miller S, Cantet RJC, Vitezica ZG. Estimating dominance genetic variances for growth traits in American Angus males using genomic models. J Anim Sci. 2020;98(1). doi:10.1093/jas/skz384.
Salem E, Dhanasekaran V, Cassard H, et al. Global Transmission, Spatial Segregation, and Recombination Determine the Long-Term Evolution and Epidemiology of Bovine Coronaviruses. Viruses. 2020;12(5). doi:10.3390/v12050534.
2019
Charton C, Larroque H, Pochet S, Germon P, Lequeux G, Guinard-Flament J. Response profiles of dairy cows to a single 24-h milking interval in relation with milk proteolysis, udder expansion and immune traits. Animal. 2019;13(6):1224-1233. doi:10.1017/S1751731118002483.
2018
Barasc H, Mouney-Bonnet N, Peigney C, et al. Analysis of Meiotic Segregation Pattern and Interchromosomal Effects in a Bull Heterozygous for a 3/16 Robertsonian Translocation. Cytogenet Genome Res. 2018;156(4):197-203. doi:10.1159/000494289.
2017
Ferlay A, Bernard L, Meynadier A, Malpuech-Brugère C. Production of trans and conjugated fatty acids in dairy ruminants and their putative effects on human health: A review. Biochimie. 2017;141:107-120. doi:10.1016/j.biochi.2017.08.006.
2016
Boitard S, Rodríguez W, Jay F, Mona S, Austerlitz F. Inferring Population Size History from Large Samples of Genome-Wide Molecular Data - An Approximate Bayesian Computation Approach. PLoS Genet. 2016;12(3):e1005877. doi:10.1371/journal.pgen.1005877.
2014
Troegeler-Meynadier A, Palagiano C, Enjalbert F. Effects of pH and fermentative substrate on ruminal metabolism of fatty acids during short-term in vitro incubation. J Anim Physiol Anim Nutr (Berl). 2014;98(4):704-13. doi:10.1111/jpn.12128.
Rey M, Enjalbert F, Combes S, Cauquil L, Bouchez O, Monteils V. Establishment of ruminal bacterial community in dairy calves from birth to weaning is sequential. J Appl Microbiol. 2014;116(2):245-57. doi:10.1111/jam.12405.
Misztal I, Legarra A, Aguilar I. Using recursion to compute the inverse of the genomic relationship matrix. J Dairy Sci. 2014;97(6):3943-52. doi:10.3168/jds.2013-7752.
2013
Boitard S, Rocha D. Detection of signatures of selective sweeps in the Blonde d'Aquitaine cattle breed. Anim Genet. 2013;44(5):579-83. doi:10.1111/age.12042.
2012
Beghain J, Boitard S, Weiss B, Boussaha M, Gut I, Rocha D. Genome-wide linkage disequilibrium in the Blonde d’Aquitaine cattle breed. Journal of Animal Breeding and Genetics. 2012:n/a–n/a. doi:10.1111/j.1439-0388.2012.01020.x.
2011
Amigues Y, Boitard S, Bertrand C, San Cristobal M, Rocha D. Genetic characterization of the Blonde d’Aquitaine cattle breed using microsatellite markers and relationship with three other French cattle populations. Journal of animal breeding and genetics. 2011;128:201-8. doi:10.1111/j.1439-0388.2010.00890.x.
Bonnet A, Bevilacqua C, Benne F, et al. Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by laser capture microdissection. BMC Genomics. 2011;12:417. doi:10.1186/1471-2164-12-417.
2010
Marty A, Amigues Y, Servin B, Renand G, Levéziel H, Rocha D. Genetic variability and linkage disequilibrium patterns in the bovine DNAJA1 gene. Molecular biotechnology. 2010;44:190–7. doi:10.1007/s12033-009-9228-y.
Picard B, Berri C, Lefaucheur L, Molette C, Sayd T, Terlouw C. Skeletal muscle proteomics in livestock production. Brief Funct Genomics. 2010;9(3):259-78. doi:10.1093/bfgp/elq005.
2008
Robic A, Faraut T, Liaubet L, Riquet J, Milan D, Lobjois V. Characterization of porcine ASB6 gene and transcripts-comparison of mammalian transcripts. Anim Biotechnol. 2008;19(3):138-43. doi:10.1080/10495390801984721.
Sammeth M, Foissac S, Guigó R. A general definition and nomenclature for alternative splicing events. PLoS Comput Biol. 2008;4(8):e1000147. doi:10.1371/journal.pcbi.1000147.
Bonnet A, Dalbies-Tran R, Sirard MA. Opportunities and challenges in applying genomics to the study of oogenesis and folliculogenesis in farm animals. Reproduction. 2008;135:119-28. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18239043.
Bonnet A, Dalbiès-Tran R, Sirard MA. Opportunities and challenges in applying genomics to the study of oogenesis and folliculogenesis in farm animals. Reproduction. 2008;135(2):119-28. doi:10.1530/REP-07-0331.
2007
Jaffrézic F, de Koning D-J, Boettcher PJ, et al. Analysis of the real EADGENE data set: comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (open access publication). Genet Sel Evol. 2007;39(6):633-50. doi:10.1051/gse:2007029.
Sørensen P, Bonnet A, Buitenhuis B, et al. Analysis of the real EADGENE data set: multivariate approaches and post analysis (open access publication). Genet Sel Evol. 2007;39(6):651-68. doi:10.1051/gse:2007030.
2006
Demars J, Riquet J, Feve K, et al. High resolution physical map of porcine chromosome 7 QTL region and comparative mapping of this region among vertebrate genomes. BMC Genomics. 2006;7:13. doi:10.1186/1471-2164-7-13.