利用多性状全基因组关联分析揭示与绵羊体重相关的候选基因。

Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis.

作者信息

Li Yunna, Yang Hua, Guo Jing, Yang Yonglin, Yu Qian, Guo Yuanyuan, Zhang Chaoxin, Wang Zhipeng, Zuo Peng

机构信息

College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China.

State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China.

出版信息

Front Vet Sci. 2023 Aug 17;10:1206383. doi: 10.3389/fvets.2023.1206383. eCollection 2023.

DOI:10.3389/fvets.2023.1206383

PMID:37662987

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10469697/

Abstract

In sheep, body weight is an economically important trait. This study sought to map genetic loci related to weaning weight and yearling weight. To this end, a single-trait and multi-trait genome-wide association study (GWAS) was performed using a high-density 600 K single nucleotide polymorphism (SNP) chip. The results showed that 43 and 56 SNPs were significantly associated with weaning weight and yearling weight, respectively. A region associated with both weaning and yearling traits (OARX: 6.74-7.04 Mb) was identified, suggesting that the same genes could play a role in regulating both these traits. This region was found to contain three genes ( and ). The most significant SNP was Affx-281066395, located at 6.94 Mb ( = 1.70 × 10), corresponding to the gene. We also identified 93 novel SNPs elated to sheep weight using multi-trait GWAS analysis. A new genomic region (OAR10: 76.04-77.23 Mb) with 22 significant SNPs were discovered. Combining transcriptomic data from multiple tissues and genomic data in sheep, we found the , and genes may involve in sheep body weight. So, multi-omic anlaysis is a valuable strategy identifying candidate genes related to body weight.

摘要

在绵羊中，体重是一个具有重要经济意义的性状。本研究旨在绘制与断奶体重和周岁体重相关的基因座。为此，使用高密度600K单核苷酸多态性（SNP）芯片进行了单性状和多性状全基因组关联研究（GWAS）。结果表明，分别有43个和56个SNP与断奶体重和周岁体重显著相关。鉴定出一个与断奶和周岁性状均相关的区域（OARX：6.74 - 7.04 Mb），这表明相同的基因可能在调控这两个性状中发挥作用。该区域发现包含三个基因（和）。最显著的SNP是Affx - 281066395，位于6.94 Mb处（= 1.70×10），对应于基因。我们还通过多性状GWAS分析鉴定出93个与绵羊体重相关的新SNP。发现了一个新的基因组区域（OAR10：76.04 - 77.23 Mb），其中有22个显著的SNP。结合绵羊多个组织的转录组数据和基因组数据，我们发现、和基因可能参与绵羊体重的调控。因此，多组学分析是鉴定与体重相关候选基因的一种有价值的策略。