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全基因组重测序揭示了与印度牦牛群体适应相关的基因组变异和功能途径。

Whole genome resequencing revealed genomic variants and functional pathways related to adaptation in Indian yak populations.

机构信息

Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources (NBAGR), Karnal, India.

Animal Genetic Resources Division, ICAR-National Bureau of Animal Genetic Resources (NBAGR), Karnal, India.

出版信息

Anim Biotechnol. 2024 Nov;35(1):2282723. doi: 10.1080/10495398.2023.2282723. Epub 2023 Nov 25.

Abstract

The present study aims to identify genomic variants through a whole genome sequencing (WGS) approach and uncover biological pathways associated with adaptation and fitness in Indian yak populations. A total of 30 samples (10 from each population) were included from Arunachali, Himachali and Ladakhi yak populations. WGS analysis revealed a total of 32171644, 27260825, and 32632460 SNPs and 4865254, 4429941, and 4847513 Indels in the Arunachali, Himachali, and Ladakhi yaks, respectively. Genes such as , , , , and the novel transcript were found to have the maximum number of high impact variants in all three yak populations, and might play a major role in local adaptation. Functional enrichment analysis of genes harboring high impact SNPs revealed overrepresented pathways related to response to stress, immune system regulation, and high-altitude adaptation. This study provides comprehensive information about genomic variants and their annotation in Indian yak populations, thus would serve as a data resource for researchers working on the yaks. Furthermore, it could be well exploited for better yak conservation strategies by estimating population genetics parameters ., effective population size, inbreeding, and observed and expected heterozygosity.

摘要

本研究旨在通过全基因组测序(WGS)方法鉴定基因组变异,并揭示与印度牦牛种群适应和适应能力相关的生物学途径。从阿努拉恰利、喜马偕尔邦和拉达克牦牛种群中总共选取了 30 个样本(每个种群 10 个)。WGS 分析显示,阿努拉恰利、喜马偕尔邦和拉达克牦牛分别有 32171644、27260825 和 32632460 个 SNPs 和 4865254、4429941 和 4847513 个 Indels。在所有三个牦牛种群中,基因 、 、 、 和新转录本 被发现具有最多数量的高影响变异,可能在局部适应中发挥主要作用。携带高影响 SNPs 的基因的功能富集分析揭示了与应激反应、免疫系统调节和高海拔适应相关的过度代表途径。本研究提供了有关印度牦牛种群中基因组变异及其注释的全面信息,因此将成为从事牦牛研究的研究人员的重要数据资源。此外,通过估计群体遗传学参数,如有效种群大小、近交、观察和预期杂合度,可更好地制定牦牛保护策略。

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