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利用全基因组重测序预测三个商业猪品种中与正选择相关的基因

Prediction of Genes Related to Positive Selection Using Whole-Genome Resequencing in Three Commercial Pig Breeds.

作者信息

Kim HyoYoung, Caetano-Anolles Kelsey, Seo Minseok, Kwon Young-Jun, Cho Seoae, Seo Kangseok, Kim Heebal

机构信息

Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea.

Department of Animal Sciences, University of Illinois, Urbana, IL 61801, USA.

出版信息

Genomics Inform. 2015 Dec;13(4):137-45. doi: 10.5808/GI.2015.13.4.137. Epub 2015 Dec 31.

Abstract

Selective sweep can cause genetic differentiation across populations, which allows for the identification of possible causative regions/genes underlying important traits. The pig has experienced a long history of allele frequency changes through artificial selection in the domestication process. We obtained an average of 329,482,871 sequence reads for 24 pigs from three pig breeds: Yorkshire (n = 5), Landrace (n = 13), and Duroc (n = 6). An average read depth of 11.7 was obtained using whole-genome resequencing on an Illumina HiSeq2000 platform. In this study, cross-population extended haplotype homozygosity and cross-population composite likelihood ratio tests were implemented to detect genes experiencing positive selection for the genome-wide resequencing data generated from three commercial pig breeds. In our results, 26, 7, and 14 genes from Yorkshire, Landrace, and Duroc, respectively were detected by two kinds of statistical tests. Significant evidence for positive selection was identified on genes ST6GALNAC2 and EPHX1 in Yorkshire, PARK2 in Landrace, and BMP6, SLA-DQA1, and PRKG1 in Duroc.These genes are reportedly relevant to lactation, reproduction, meat quality, and growth traits. To understand how these single nucleotide polymorphisms (SNPs) related positive selection affect protein function, we analyzed the effect of non-synonymous SNPs. Three SNPs (rs324509622, rs80931851, and rs80937718) in the SLA-DQA1 gene were significant in the enrichment tests, indicating strong evidence for positive selection in Duroc. Our analyses identified genes under positive selection for lactation, reproduction, and meat-quality and growth traits in Yorkshire, Landrace, and Duroc, respectively.

摘要

选择性清除会导致不同种群间的遗传分化,这有助于识别重要性状潜在的致病区域/基因。在驯化过程中,猪通过人工选择经历了漫长的等位基因频率变化历史。我们从三个猪品种(约克夏猪,n = 5;长白猪,n = 13;杜洛克猪,n = 6)的24头猪中平均获得了329,482,871条序列读数。在Illumina HiSeq2000平台上进行全基因组重测序,平均测序深度为11.7。在本研究中,实施了跨种群扩展单倍型纯合性和跨种群复合似然比检验,以检测来自三个商业猪品种的全基因组重测序数据中经历正选择的基因。在我们的结果中,通过两种统计检验分别在约克夏猪、长白猪和杜洛克猪中检测到了26个、7个和14个基因。在约克夏猪中,ST6GALNAC2和EPHX1基因,长白猪中的PARK2基因,以及杜洛克猪中的BMP6、SLA - DQA1和PRKG1基因被确定有显著的正选择证据。据报道,这些基因与泌乳、繁殖、肉质和生长性状相关。为了了解这些与正选择相关的单核苷酸多态性(SNP)如何影响蛋白质功能,我们分析了非同义SNP的效应。SLA - DQA1基因中的三个SNP(rs324509622、rs80931851和rs80937718)在富集试验中具有显著性,表明杜洛克猪中有强烈的正选择证据。我们的分析分别在约克夏猪、长白猪和杜洛克猪中鉴定出了在泌乳、繁殖以及肉质和生长性状方面经历正选择的基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94c4/4742324/e1e01f9110f0/gni-13-137-g001.jpg

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