通过线粒体基因组测序分析关岭牛母体遗传多样性。

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-11-18 DOI:10.1007/s10528-024-10973-5
Longxin Xu, Xin Wang, Hua Wang, Junda Wu, Wenzhang Zhou, Mengmeng Ni, Kaikai Zhang, Yuanfeng Zhao, Ruiyi Lin
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引用次数: 0

摘要

由于独特的地理环境和与世隔绝的环境,中国贵州五大地方牛种之一的关岭牛形成了独有的特性。由于与外来品种杂交,纯种关岭牛数量明显减少。本研究通过线粒体全基因组测序评估了 58 头关岭牛的母系遗传多样性。遗传多态性和系统进化分析将关岭牛分为两大系,其中 43.10% 的关岭牛与外来品种亲缘关系密切,56.90% 的关岭牛线粒体基因组多样性特征明显。PCA 分析进一步将关岭牛分为四个种群,其中一个种群与国外品种聚类。结构图和遗传多态性的结果显示,与国外牛种遗传距离较远的两个种群内具有较高的遗传多样性。总之,我们的研究结果表明,线粒体全基因组测序分析是研究母系遗传多样性和鉴定关岭牛纯种群体的一种有用而可靠的工具。这些结果将有利于关岭牛的育种管理。
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Maternal Genetic Diversity Analysis of Guanling Cattle by Mitochondrial Genome Sequencing.

Owing to the unique geography and the isolated environment, Guanling cattle, which is one of five local cattle breeds in Guizhou, China, has developed unique characteristics. The number of pure Guanling cattle decreased markedly because of the hybridization with foreign breeds. In the present study, the maternal genetic diversity of 58 Guanling bulls was assessed by whole mitochondrial genome sequencing. Genetic polymorphisms and phylogenetic analyses classified Guanling cattle into two main lineages, where 43.10% of Guanling cattle were closely related to the foreign breeds and 56.90% displayed distinct features in mitochondrial genomic diversity. PCA analysis further separated Guanling cattle into four populations, one of which was clustered with the foreign breeds. The result of the structure plot and genetic polymorphisms revealed high genetic diversity within two populations that have a long genetic distance from the foreign breeds. Overall, our findings suggest that the whole mitochondrial genome sequencing analysis is a useful and reliable tool to study maternal genetic diversity and to identify the pure population of Guanling cattle. The results will be beneficial to the breeding management of Guanling cattle.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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