Literature DB >> 28943389

Single step genome-wide association studies based on genotyping by sequence data reveals novel loci for the litter traits of domestic pigs.

Pingxian Wu1, Qiang Yang1, Kai Wang1, Jie Zhou1, Jideng Ma1, Qianzhi Tang1, Long Jin1, Weihang Xiao1, Anan Jiang1, Yanzhi Jiang1, Li Zhu1, Xuewei Li1, Guoqing Tang2.   

Abstract

In this study, data genotyping by sequence (GBS) was used to perform single step GWAS (ssGWAS) to identify SNPs associated with the litter traits in domestic pigs and search for candidate genes in the region of significant SNPs. After quality control, 167,355 high-quality SNPs from 532 pigs were obtained. Phenotypic traits on 2112 gilt litters from 532 pigs were recorded including total number born (TNB), number born alive (NBA), and litter weight born alive (LWB). A single-step genomic BLUP approach (ssGBLUP) was used to implement the genome-wide association analysis at a 5% genome-wide significance level. A total of 8, 23 and 20 significant SNPs were associated with TNB, NBA, and LWB, respectively, and these significant SNPs accounted for 62.78%, 79.75%, and 58.79% of genetic variance. Furthermore, 1 (SSC14: 16314857), 4 (SSC1: 81986236, SSC1: 66599775, SSC1: 161999013, and SSC1: 267883107), and 5 (SSC9: 29030061, SSC2: 32368561, SSC5: 110375350, SSC13: 45619882 and SSC13: 45647829) significant SNPs for TNB, NBA, and LWB were inferred to be novel loci. At SSC1, the AIM1 and FOXO3 genes were found to be associated with NBA; these genes increase ovarian reproductive capacity and follicle number and decrease gonadotropin levels. The genes SLC36A4 and INTU are involved in cell growth, cytogenesis and development were found to be associated with LWB. These significant SNPs can be used as an indication for regions in the Sus scrofa genome for variability in litter traits, but further studies are expected to confirm causative mutations.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genotyping-by-sequencing; Litter traits; Single step GWAS; Swine

Mesh:

Year:  2017        PMID: 28943389     DOI: 10.1016/j.ygeno.2017.09.009

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


  12 in total

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