| Literature DB >> 33477978 |
Donglin Ruan1,2, Zhanwei Zhuang1,2, Rongrong Ding1,2, Yibin Qiu1,2, Shenping Zhou1,2, Jie Wu1,2, Cineng Xu1,2, Linjun Hong1,2, Sixiu Huang1,2, Enqin Zheng1,2, Gengyuan Cai1, Zhenfang Wu1,2, Jie Yang1,2.
Abstract
Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56-3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs.Entities:
Keywords: Duroc pigs; SNP; growth traits; weighted single-step GWAS
Mesh:
Year: 2021 PMID: 33477978 PMCID: PMC7835741 DOI: 10.3390/genes12010117
Source DB: PubMed Journal: Genes (Basel) ISSN: 2073-4425 Impact factor: 4.096