Literature DB >> 30439481

SNPs associated with body weight and backfat thickness in two pig breeds identified by a genome-wide association study.

Qiang Yang1, Pingxian Wu1, Kai Wang1, Dejuan Chen1, Jie Zhou1, Jideng Ma1, Mingzhou Li1, Weihang Xiao1, Anan Jiang1, Yanzhi Jiang2, Lin Bai1, Li Zhu1, Xuewei Li1, Guoqing Tang3.   

Abstract

Growth and fat deposition are important economic traits due to the influence on production in pigs. In this study, a dataset of 1200 pigs with 345,570 SNPs genotyped by sequencing (GBS) was used to conduct a GWAS with single-marker regression method to identify SNPs associated with body weight and backfat thickness (BFT) and to search for candidate genes in Landrace and Yorkshire pigs. A total of 27 and 13 significant SNPs were associated with body weight and BFT, respectively. In the region of 149.85-149.89 Mb on SSC6, the SNP (SSC6: 149876737) for body weight and the SNP (SSC6: 149876507) for BFT were in the same locus region (a gap of 230 bp). Two SNPs were located in the DOCK7 gene, which is a protein-coding gene that plays an important role in pigmentation. Two SNPs located on SSC8: 54567459 and SSC11: 33043081 were found to overlap weight and BFT; however, no candidate gene was found in these regions. In addition, based on other significant SNPs, two positional candidate genes, NSRP1 and CADPS, were proposed to influence weight. In conclusion, this is the first study report using GBS data to identify the significant SNPs for weight and BFT. A total of four particularly interesting SNPs and one potential candidate genes (DOCK7) were found for these traits in domestic pigs. This study improves our knowledge to better understand the complex genetic architecture of weight and BFT, but further validation studies of these candidate loci and genes are recommended in pigs.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Backfat thickness; Body weight; Genome wide association study; Pigs

Mesh:

Year:  2018        PMID: 30439481     DOI: 10.1016/j.ygeno.2018.11.002

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  6 in total

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  6 in total

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