Literature DB >> 29602194

Genome-wide association studies for two exterior traits in Chinese Dongxiang spotted pigs.

Chengbin Wang1, Xiaopeng Wang1, Jianhong Tang1, Hao Chen1, Junjie Zhang1, Yiping Li1, Shengrong Lei2, Huayuan Ji3, Bin Yang1, Jun Ren1, Nengshui Ding1.   

Abstract

Pigs show extensive variation in exterior appearance. This variation has been explored as one of the selection targets to form breeding features in the pig industry. In this study, a customized Affymetrix Axiom Pig1.4M array plate was used to conduct genome-wide association studies (GWAS) for two exterior traits-spotted coat color (SC) and facial type (FT)-in Chinese Dongxiang spotted pigs. Two and 12 single nucleotide polymorphisms (SNPs) were identified to be associated with SC and FT at the 5% genome-wide significant level, respectively. Of these SNPs, two associated with SC were located around the DACH1 gene on Sus Scrofa chromosome (SSC)11. Eleven SNPs associated with FT were located within a 7.68 Mb region (29.03-36.71 Mb) on SSC7. Based on the GWAS results and the biological functions of genes, we highlight EDNRB as a candidate gene for SC and HMGA1 and RPS10 as the potential genes affecting facial variation. The findings contribute to the final characterization of causative genes and mutations underlying the effects of the SSC7 and SSC11 loci and improve our understanding of the genetic basis of phenotypic variation in Chinese indigenous pigs.
© 2018 Japanese Society of Animal Science.

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Keywords:  Chinese Dongxiang spotted pigs; GWAS; candidate genes; facial type; spotted coat color

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Year:  2018        PMID: 29602194     DOI: 10.1111/asj.13003

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  1 in total

1.  Identification of copy number variations using high density whole-genome SNP markers in Chinese Dongxiang spotted pigs.

Authors:  Chengbin Wang; Hao Chen; Xiaopeng Wang; Zhongping Wu; Weiwei Liu; Yuanmei Guo; Jun Ren; Nengshui Ding
Journal:  Asian-Australas J Anim Sci       Date:  2019-02-07       Impact factor: 2.509

  1 in total

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