Suppr超能文献

EigenGWAS 和 F 分析揭示杜洛克、长白和大约克夏猪品种的选择驱动遗传差异。

Discovery of selection-driven genetic differences of Duroc, Landrace, and Yorkshire pig breeds by EigenGWAS and F analyses.

机构信息

Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Wuhan, Hubei, 430070, China.

Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, Huazhong Agricultural University, Wuhan, Hubei, 430070, China.

出版信息

Anim Genet. 2020 Aug;51(4):531-540. doi: 10.1111/age.12946. Epub 2020 May 13.

Abstract

Pigs are one of the earliest domesticated animals and multiple breeds have been developed to meet the various demands of consumers. EigenGWAS is a novel strategy to identify candidate genes that underlying population genetic differences and to infer candidate regions under selection as well. In this study, EigenGWAS and F analyses were performed using the public re-sequencing data of three typical commercial pig breeds, Duroc, Landrace and Yorkshire. The intersection of genome-wide significant SNPs detected by EigenGWAS and top-ranked 1% SNPs of F results were treated as signals under selection. Using the data of all three breeds, 3062 signals under selection were detected and the nearby genomic regions within 300 kb upstream and downstream covered 6.54% of whole genome. Pairs of breeds were analysed along with the pathway analysis. The gene function enrichment results indicated that many candidate genes located in the genomic regions of the signals under selection were associated with biological processes related to growth, metabolism, reproduction, sensory perception, etc. Among the candidate genes, the FSHB, AHR, PTHLH, KDR and FST genes were reported to be associated with reproductive performance; the KIT, KITLG, MITF, MC1R and EDNRB genes were previously identified to affect coat colour; the RETREG1, TXNIP, BMP5, PPARD and RBP4 genes were reported to be associated with lipid metabolism and growth traits. The identified genetic differences across the three commercial breeds will advance understanding of the artificial selection history of pigs and the signals under selection will suggest potential uses in pig genomic breeding programmes.

摘要

猪是最早被驯化的动物之一,为了满足消费者的各种需求,已经培育出多个品种。EigenGWAS 是一种识别潜在群体遗传差异候选基因和推断选择候选区域的新策略。本研究利用三个典型商业猪品种(杜洛克猪、长白猪和大约克夏猪)的公共重测序数据,进行了 EigenGWAS 和 F 分析。将 EigenGWAS 检测到的全基因组显著 SNP 与 F 结果中排名前 1%的 SNP 的交集视为选择信号。利用三个品种的数据,共检测到 3062 个选择信号,上下游 300kb 内的附近基因组区域覆盖了整个基因组的 6.54%。对两个品种的分析与通路分析相结合。基因功能富集结果表明,许多位于选择信号基因组区域的候选基因与生长、代谢、繁殖、感官感知等与生物学过程相关。在候选基因中,FSHB、AHR、PTHLH、KDR 和 FST 基因被报道与繁殖性能有关;KIT、KITLG、MITF、MC1R 和 EDNRB 基因以前被确定为影响毛色;RETREG1、TXNIP、BMP5、PPARD 和 RBP4 基因与脂质代谢和生长性状有关。这三个商业品种之间的遗传差异的确定将有助于深入了解猪的人工选择历史,选择信号将为猪基因组育种计划提供潜在用途。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验