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首页> 外文期刊>Evolutionary Bioinformatics >Detecting the Population Structure and Scanning for Signatures of Selection in Horses (Equus caballus) From Whole-Genome Sequencing Data:
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Detecting the Population Structure and Scanning for Signatures of Selection in Horses (Equus caballus) From Whole-Genome Sequencing Data:

机译:从全基因组测序数据中检测种群结构并扫描马(马属)的选择特征:

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Animal domestication gives rise to gradual changes at the genomic level through selection in populations. Selective sweeps have been traced in the genomes of many animal species, including humans, cattle, and dogs. However, little is known regarding positional candidate genes and genomic regions that exhibit signatures of selection in domestic horses. In addition, an understanding of the genetic processes underlying horse domestication, especially the origin of Chinese native populations, is still lacking. In our study, we generated whole genome sequences from 4 Chinese native horses and combined them with 48 publicly available full genome sequences, from which 15?341?213 high-quality unique single-nucleotide polymorphism variants were identified. Kazakh and Lichuan horses are 2 typical Asian native breeds that were formed in Kazakh or Northwest China and South China, respectively. We detected 1390 loss-of-function (LoF) variants in protein-coding genes, and gene ontology (GO) enrichment analysis revealed that some LoF-affected genes were overrepresented in GO terms related to the immune response. Bayesian clustering, distance analysis, and principal component analysis demonstrated that the population structure of these breeds largely reflected weak geographic patterns. Kazakh and Lichuan horses were assigned to the same lineage with other Asian native breeds, in agreement with previous studies on the genetic origin of Chinese domestic horses. We applied the composite likelihood ratio method to scan for genomic regions showing signals of recent selection in the horse genome. A total of 1052 genomic windows of 10?kB, corresponding to 933 distinct core regions, significantly exceeded neutral simulations. The GO enrichment analysis revealed that the genes under selective sweeps were overrepresented with GO terms, including “negative regulation of canonical Wnt signaling pathway,” “muscle contraction,” and “axon guidance.” Frequent exercise training in domestic horses may have resulted in changes in the expression of genes related to metabolism, muscle structure, and the nervous system.
机译:动物的驯化通过选择种群而在基因组水平上引起了逐渐的变化。在许多动物物种(包括人,牛和狗)的基因组中都可以找到选择性扫描。然而,关于位置候选基因和基因组区域,在家养马中表现出选择的特征,鲜为人知。此外,对马驯化的遗传过程,特别是中国本土人口的起源,仍然缺乏了解。在我们的研究中,我们从4个中国本地马中生成了全基因组序列,并将它们与48个公开可用的全基因组序列相结合,从中鉴定出15?341?213个高质量的独特单核苷酸多态性变体。哈萨克族和利川马是分别在哈萨克斯坦或中国西北和华南地区形成的两个典型的亚洲本地品种。我们在蛋白质编码基因中检测到1390个功能丧失(LoF)变异,并且基因本体论(GO)富集分析表明,一些受LoF影响的基因在与免疫反应相关的GO术语中被过度表达。贝叶斯聚类,距离分析和主成分分析表明,这些品种的种群结构在很大程度上反映了较弱的地理格局。哈萨克族和利川马与亚洲其他本地品种的血统相同,与先前有关中国家养马的遗传起源的研究一致。我们应用复合似然比方法扫描显示马基因组中最近选择信号的基因组区域。总共1052 kB的1052个基因组窗口,对应于933个不同的核心区域,大大超过了中性模拟。 GO富集分析表明,选择性扫描下的基因用GO术语过度代表,包括“规范性Wnt信号通路的负调控”,“肌肉收缩”和“轴突引导”。家养马的频繁运动训练可能导致与代谢,肌肉结构和神经系统有关的基因表达发生变化。

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