Publications

You can also find a list of our publications on HAL

2020

Alassane-Kpembi I, Canlet C, Tremblay-Franco M, et al. H-NMR metabolomics response to a realistic diet contamination with the mycotoxin deoxynivalenol: Effect of probiotics supplementation. Food Chem Toxicol. 2020;138:111222. doi:10.1016/j.fct.2020.111222.
Lourenco D, Legarra A, Tsuruta S, Masuda Y, Aguilar I, Misztal I. Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90. Genes (Basel). 2020;11(7). doi:10.3390/genes11070790.
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.
Klopp C, Cabau C, Greif G, Lasalle A, Di Landro S, Vizziano-Cantonnet D. Siberian sturgeon multi-tissue reference transcriptome database. Database (Oxford). 2020;2020. doi:10.1093/database/baaa082.
Arnal M, Larroque H, Leclerc H, Ducrocq V, Robert-Granié C. Estimation of genetic parameters for dairy traits and somatic cell score in the first 3 parities using a random regression test-day model in French Alpine goats. J Dairy Sci. 2020;103(5):4517-4531. doi:10.3168/jds.2019-17465.
Dugue C, Prunier A, Mercat MJ, Monziols M, Blanchet B, Larzul C. Genetic determinism of boar taint and relationship with growth traits, meat quality and lesions. Animal. 2020;14(7):1333-1341. doi:10.1017/S1751731120000105.
Robic A, Kühn C. Beyond Back Splicing, a Still Poorly Explored World: Non-Canonical Circular RNAs. Genes (Basel). 2020;11(9). doi:10.3390/genes11091111.
Du K, Stöck M, Kneitz S, et al. The sterlet sturgeon genome sequence and the mechanisms of segmental rediploidization. Nat Ecol Evol. 2020;4(6):841-852. doi:10.1038/s41559-020-1166-x.
Jehl F, Muret K, Bernard M, et al. An integrative atlas of chicken long non-coding genes and their annotations across 25 tissues. Sci Rep. 2020;10(1):20457. doi:10.1038/s41598-020-77586-x.

2019

Arroyo J, Molette C, Lavigne F, Knudsen C, Deneufbourg C, Fortun-Lamothe L. Influence of the corn form in the diet and length of fasting before slaughter on the performance of overfed mule ducks. Poult Sci. 2019;98(2):753-760. doi:10.3382/ps/pey432.
Dubois O, Allanic C, Charvet CL, et al. Lupin (Lupinus spp.) seeds exert anthelmintic activity associated with their alkaloid content. Sci Rep. 2019;9(1):9070. doi:10.1038/s41598-019-45654-6.
Delzenne NM, Knudsen C, Beaumont M, Rodriguez J, Neyrinck AM, Bindels LB. Contribution of the gut microbiota to the regulation of host metabolism and energy balance: a focus on the gut-liver axis. Proc Nutr Soc. 2019;78(3):319-328. doi:10.1017/S0029665118002756.
Lefort G, Liaubet L, Canlet C, et al. ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra. Bioinformatics. 2019;35(21):4356-4363. doi:10.1093/bioinformatics/btz248.
Tortereau F, Marie-Etancelin C, Weisbecker J-L, et al. Genetic parameters for feed efficiency in Romane rams and responses to single-generation selection. Animal. 2019:1-7. doi:10.1017/S1751731119002544.
Pallotta MMichela, Barbato V, Pinton A, et al. In vitro exposure to CPF affects bovine sperm epigenetic gene methylation pattern and the ability of sperm to support fertilization and embryo development. Environ Mol Mutagen. 2019;60(1):85-95. doi:10.1002/em.22242.
Grusea S, Rodríguez W, Pinchon D, Chikhi L, Boitard S, Mazet O. Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes. J Math Biol. 2019;78(1-2):189-224. doi:10.1007/s00285-018-1272-4.
Liu M, Zhou Y, Rosen BD, et al. Diversity of copy number variation in the worldwide goat population. Heredity (Edinb). 2019;122(5):636-646. doi:10.1038/s41437-018-0150-6.
Arnal M, Larroque H, Leclerc H, Ducrocq V, Robert-Granie C. Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model. Genet Sel Evol. 2019;51(1):43. doi:10.1186/s12711-019-0485-3.
Le Sciellour M, Zemb O, Hochu I, et al. Effect of chronic and acute heat challenges on fecal microbiota composition, production, and thermoregulation traits in growing pigs1,2. J Anim Sci. 2019;97(9):3845-3858. doi:10.1093/jas/skz222.
Tusell L, Gilbert H, Vitezica ZG, Mercat MJ, Legarra A, Larzul C. Dissecting total genetic variance into additive and dominance components of purebred and crossbred pig traits. Animal. 2019;13(11):2429-2439. doi:10.1017/S1751731119001046.
Gilbert H, Ruesche J, Muller N, Billon Y, Begos V, Montagne L. Responses to weaning in two pig lines divergently selected for residual feed intake depending on diet. J Anim Sci. 2019;97(1):43-54. doi:10.1093/jas/sky416.
Marie-Etancelin C, François D, Weisbecker J-L, et al. Detailed genetic analysis of feeding behaviour in Romane lambs and links with residual feed intake. J Anim Breed Genet. 2019;136(3):174-182. doi:10.1111/jbg.12392.
Messad F, Louveau I, Koffi B, Gilbert H, Gondret F. Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs. BMC Genomics. 2019;20(1):659. doi:10.1186/s12864-019-6010-9.
Dyomin A, Galkina S, Fillon V, et al. Structure of the intergenic spacers in chicken ribosomal DNA. Genet Sel Evol. 2019;51(1):59. doi:10.1186/s12711-019-0501-7.
Cheynel L, Douhard F, Gilot-Fromont E, et al. Does body growth impair immune function in a large herbivore?. Oecologia. 2019;189(1):55-68. doi:10.1007/s00442-018-4310-4.
Rodriguez-Ramilo ST, Elsen JM, Legarra A. Inbreeding and effective population size in French dairy sheep: Comparison between genomic and pedigree estimates. J Dairy Sci. 2019;102(5):4227-4237. doi:10.3168/jds.2018-15405.
Oget C, Tosser-Klopp G, Rupp R. Genetic and genomic studies in ovine mastitis. Small Ruminant Research . 2019;176:55-64.
David I, Ricard A. A Unified Model for Inclusive Inheritance in Livestock Species. Genetics. 2019;212(4):1075-1099. doi:10.1534/genetics.119.302375.
Knudsen C, Neyrinck AM, Lanthier N, Delzenne NM. Microbiota and nonalcoholic fatty liver disease: promising prospects for clinical interventions?. Curr Opin Clin Nutr Metab Care. 2019;22(5):393-400. doi:10.1097/MCO.0000000000000584.
Paris C, Servin B, Boitard S. Inference of Selection from Genetic Time Series Using Various Parametric Approximations to the Wright-Fisher Model. G3 (Bethesda). 2019;9(12):4073-4086. doi:10.1534/g3.119.400778.

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