生物信息学和分子分析发现,控制区是区分山羊主要母系单倍群的最有力的有丝分裂基因组标记

S. Mustafa
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引用次数: 0

摘要

要鉴定用于区分物种内和物种间动物的遗传标记,需要进行广泛的基因组学和生物信息学研究。以往的研究没有仔细考虑有丝分裂基因组成分对山羊母系遗传分化的影响。为慎重起见,本研究从 NCBI 数据库下载了完整的山羊有丝分裂基因组,以评估有丝分裂基因组片段的选择对系统发育研究的影响,并确定山羊主要母系单倍群的潜在多态区。系统发育结果证实,所有 13 个线粒体蛋白编码基因和 2 个核糖体基因都不适用于区分母系。相反,新设计的引物在控制区成功扩增出一个长度为 756 bp 的新型多态区。对已测序的 mtDNA 控制区的有丝分裂基因组区域进行系统发育分析和主成分分析,可有效区分山羊的主要母系单倍群。在控制区和有丝分裂基因组标记区发现了较多的多态位点。多态位点与每个有丝分裂基因组成分的长度之间存在高度相关性。我们的研究结果为有兴趣利用 mtDNA 序列研究动物物种遗传多样性的研究人员提供了有益的指导和警示。本文所使用的生物信息学和分子方法可以在没有有丝分裂基因组全部序列的情况下,利用 PCR 扩增技术选择最少量的数据。
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BIOINFORMATICS AND MOLECULAR ANALYSES IDENTIFIED THE CONTROL REGION AS THE MOST POWERFUL MITOGENOMIC MARKER FOR DISTINGUISHING THE MAIN MATERNAL HAPLOGROUPS IN GOATS
Identification of genetic markers to distinguish animals within and between species demands extensive genomic and bioinformatics investigation. Previous studies have not carefully taken into consideration the effect of mitogenomic components on the genetic differentiation of the maternal lineages in goats. As a precaution, the complete goat mitogenome was downloaded from the NCBI database and used in the current study to assess the effects of the choice of mitogenomic fragments on phylogenetic studies and to identify any potential polymorphic region by which the main maternal haplogroups of goats can be classified. Phylogenetic results confirmed that all 13 individual mitochondrial protein-coding genes and 2 ribosomal genes are not applicable to differentiate the maternal lineages. Instead, a single novel polymorphic region with a length of 756 bp within the control region was successfully amplified by newly designed primers. Both phylogenetic analysis and principal components analysis of the sequenced mitogenomic region of the mtDNA control region efficiently differentiated the main maternal haplogroups in goats. Higher numbers of polymorphic sites were found in the control region and the mitogenomic marker region. Highly significant correlations were discovered between the polymorphic sites and the length of each individual mitogenomic component. Our results demonstrate useful guidance and cautionary notes for researchers who are interested in the investigation of genetic diversity in animal species using mtDNA sequences. The bioinformatics and molecular methods used herein can be powerful in selecting a minimum amount of data using PCR amplification when the entire sequences of the mitogenome are unavailable.
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