Genetic and phenotypic fine characterizations of French porcine reference populations
2012
San Cristobal , Magali (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Boitard , Simon (INRA , Jouy-En-Josas (France). UMR 1313 Génétique Animale et Biologie Intégrative) | Fariello Rico , Maria Inès (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Gilbert , Hélène (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Liaubet , Laurence (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Paris , Alain (INRA (France). ) | Rogel-Gaillard , Claire (INRA , Jouy-En-Josas (France). UMR 1313 Génétique Animale et Biologie Intégrative) | rohart , Florian (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Riquet , Juliette (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Servin , Bertrand (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire) | Villa-Vialaneix , Nathalie (INRA , Auzeville (France). UR 0875 Mathématiques et Informatique Appliquées Toulouse ) | Sanchez , Marie Pierre (INRA , Jouy-En-Josas (France). UMR 1313 Génétique Animale et Biologie Intégrative) | Milan , Denis (INRA , Auzeville (France). UMR 0444 Laboratoire de Génétique Cellulaire)
Fine study of the porcine genome. The porcine industry has to face new societal stakes, and propose a more sustainable production. Genetics is one of the control levers. The objective of the DéLiSus project (ANR- 07-GANI-001) was, based on recent developments in genomics, to improve our knowledge on the porcine genome structure, on genetic mechanisms controlling traits, but also connected to the development of new systems of production (such as food efficiency, quality of meat). High throughput genotyping and phenotyping strategy laid on accumulating information on a large number of animals of various porcine breeds, from the gene to the phenotype, and looking for the links between these informations. Thereafter the main results: (1) Large-sized databases with genotypes, transcriptomic, metabolomic and phenotypic data; (2) Contribution to the improvement of the assembly of the porcine genome and to the mapping of 60K SNP; (3) QTL detection (25 phenotypes); (4) Revealing the genetic variability clearly structured; (5) New methodology to detect footprint of selection revealing of genomic regions presenting a strong local decline of variability; (6) Metabolomic profiles allow predicting phenotypes of interest, such as the rate of muscle; and (7)Differential expression between races of numerous genes in the post-mortem muscle (among 44K).
显示更多 [+] 显示较少 [-]