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Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency.

TitleIdentification of genomic regions affecting production traits in pigs divergently selected for feed efficiency.
Publication TypeJournal Article
Year of Publication2021
AuthorsDelpuech, E, Aliakbari, A, Labrune, Y, Feve, K, Billon, Y, Gilbert, H, Riquet, J
JournalGenet Sel Evol
Volume53
Issue1
Pagination49
Date Published2021 Jun 14
ISSN1297-9686
Abstract

BACKGROUND: Feed efficiency is a major driver of the sustainability of pig production systems. Understanding the biological mechanisms that underlie these agronomic traits is an important issue for environment questions and farms' economy. This study aimed at identifying genomic regions that affect residual feed intake (RFI) and other production traits in two pig lines divergently selected for RFI during nine generations (LRFI, low RFI; HRFI, high RFI).

RESULTS: We built a whole dataset of 570,447 single nucleotide polymorphisms (SNPs) in 2426 pigs with records for 24 production traits after both imputation and prediction of genotypes using pedigree information. Genome-wide association studies (GWAS) were performed including both lines (global-GWAS) or each line independently (LRFI-GWAS and HRFI-GWAS). Forty-five chromosomal regions were detected in the global-GWAS, whereas 28 and 42 regions were detected in the HRFI-GWAS and LRFI-GWAS, respectively. Among these 45 regions, only 13 were shared between at least two analyses, and only one was common between the three GWAS but it affects different traits. Among the five quantitative trait loci (QTL) detected for RFI, two were close to QTL for meat quality traits and two pinpointed novel genomic regions that harbor candidate genes involved in cell proliferation and differentiation processes of gastrointestinal tissues or in lipid metabolism-related signaling pathways. In most cases, different QTL regions were detected between the three designs, which suggests a strong impact of the dataset structure on the detection power and could be due to the changes in allelic frequencies during the establishment of lines.

CONCLUSIONS: In addition to efficiently detecting known and new QTL regions for feed efficiency, the combination of GWAS carried out per line or simultaneously using all individuals highlighted chromosomal regions that affect production traits and presented significant changes in allelic frequencies across generations. Further analyses are needed to estimate whether these regions correspond to traces of selection or result from genetic drift.

DOI10.1186/s12711-021-00642-1
Alternate JournalGenet Sel Evol
PubMed ID34126920
PubMed Central IDPMC8201702
Grant ListANR-08-GENM-038 / / Agence Nationale de la Recherche /
ANR-16-CE20-0003 / / Agence Nationale de la Recherche /