[en] A large number of quantitative trait loci (QTL) for meat quality and carcass traits has been reported in pigs over the past 20 years. However, few QTL have been validated and the biological meaning of the genes associated to these QTL has been underexploited. In this context, a meta-analysis was performed to compare the significant markers with meta-QTL previously reported in literature. Genome association studies were performed for 12 traits, from which 144 SNPs were found out to be significant (P < 0.05). They were validated in the meta-analysis and used to build the Association Weight Matrix, a matrix framework employed to investigate co-association of pairwise SNP across phenotypes enabling to derive a gene network. A total of 45 genes were selected from the Association Weight Matrix analysis, from which 25 significant transcription factors were identified and used to construct the networks associated to meat quality and carcass traits. These networks allowed the identification of key transcription factors, such as SOX5 and NKX2–5, gene–gene interactions (e.g. ATP5A1, JPH1, DPT and NEDD4) and pathways related to the regulation of adipose tissue metabolism and skeletal muscle development. Validated SNPs and knowledge of key genes driving these important industry traits might assist future strategies in pig breeding.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Souza Duarte, Darlene Ana ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Salinas Fortes, Marina Rufino
Duarte, Marcio de Souza
Facioni Guimarães, Simone Eliza
Lima Verardo, Lucas
Veroneze, Renata
Frossard Ribeiro, André Mauric
Sávio Lopes, Paulo
Vilela de Resende, Marcos Deon
Fonseca e Silva, Fabyano
Language :
English
Title :
Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs
Publication date :
March 2017
Journal title :
Animal Production Science
ISSN :
1836-0939
eISSN :
1836-5787
Publisher :
Commonwealth Scientific and Industrial Research Organization Publishing, Clayton, Australia
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