Large-scale genome sequencing reveals population separation and selection signatures in major canyon yaks.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Zemin Li, Jiahong Zhao, Xingyu Guo, Shiyu Wu, Shikai Wang, Jincheng Zhong, Yixi Kangzhu, Jikun Wang, Daoliang Lan, Jiabo Wang
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Abstract

Through long-term natural and artificial selection, domestic yaks (Bos grunniens) have diverged from wild ancestors and become vital to high-altitude pastoralism, providing meat, milk, fiber, and other essential resources and transportation. Especially, based on the complex and changeable environments in the canyon of the Tibetan Plateau, the canyon-type yaks show diverse phenotypic traits, including morphology, production, and adaptation. To explore the genetic basis of this breed-specific adaptation and identify key functional genes shaped by selection, we collected 225 yaks from three canyon-type yak populations and scanned genome variation information using high-throughput resequencing. We employed three approaches, nucleotide diversity (π), fixation index (Fst) and cross-population extended haplotype homozygosity (XPEHH), to detect positive selection signals in the genome. Through analyses of population structure, genetic diversity, and selection sweep signals, we identified unique Single Nucleotide Polymorphisms (SNPs) that reveal significant genomic divergence among the three yak populations, which can also serve as genetic markers for population discrimination. Furthermore, shared SNPs identified by selective sweep analysis exhibited distinctive Minor Allele Frequency (MAF) distribution patterns; these population-specific SNP markers can be directly applied to develop SNP chips for breed-specific identification. A total of 13 genes related to breed-specific adaptive traits were identified. These findings provide valuable insights into the molecular signatures of breed-specific adaptation under human management and natural selection. It also identifies key functional genes relevant to future breeding programs.

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大规模基因组测序揭示了峡谷牦牛种群分离和选择特征。
经过长期的自然和人工选择,家牦牛已经从野生祖先中分化出来,成为高海拔畜牧业的重要组成部分,提供肉、奶、纤维和其他必需的资源和运输工具。为了探索这种品种特异性适应的遗传基础和鉴定通过选择形成的关键功能基因,我们从3个峡谷型牦牛种群中采集了225头牦牛,利用高通量重测序技术扫描了基因组变异信息。我们采用核苷酸多样性(π)、固定指数(Fst)和跨群体扩展单倍型纯合性(XPEHH)三种方法检测基因组中的正选择信号。通过对牦牛种群结构、遗传多样性和选择扫描信号的分析,我们发现了独特的单核苷酸多态性(Single Nucleotide Polymorphisms, SNPs),这些snp可以作为种群歧视的遗传标记,揭示了三个牦牛种群之间显著的基因组差异。此外,通过选择性扫描分析鉴定的共享snp表现出独特的次要等位基因频率(Minor Allele Frequency, MAF)分布模式;这些群体特异性SNP标记可直接用于开发用于品种特异性鉴定的SNP芯片。共鉴定出13个与品种特异性适应性状相关的基因。这些发现为人类管理和自然选择下品种特异性适应的分子特征提供了有价值的见解。它还确定了与未来育种计划相关的关键功能基因。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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