使用有序等位基因与无序等位基因测量和测试遗传分化。
Measuring and testing genetic differentiation with ordered versus unordered alleles.
作者信息
Pons O, Petit R J
机构信息
Institut National de la Recherche Agronomique, Laboratoire de Biométrie, Jouy-en-Josas, France.
出版信息
Genetics. 1996 Nov;144(3):1237-45. doi: 10.1093/genetics/144.3.1237.
Abstract
Estimates and variances of diversity and differentiation measures in subdivided populations are proposed that can be applied to haplotypes (ordered alleles such as DNA sequences, which may contain a record of their own histories). Hence, two measures of differentiation can be compared for a single data set: one (GST) that makes use only of the allelic frequencies and the other (NST) for which similarities between the haplotypes are taken into account in addition. Tests are proposed to compare NST and GST with zero and with each other. The difference between NST and GST can be caused by several factors, including sampling artefacts, unequal effect of mutation rates and phylogeographic structure. The method presented is applied to a published data set where a nuclear DNA sequence had been determined from individuals of a grasshopper distributed in 24 regions of Europe. Additional insights into the genetic subdivision of these populations are obtained by progressively combining related haplotypes and reanalyzing the data each time.
摘要
提出了在细分群体中多样性和分化度量的估计值及方差，这些可应用于单倍型（如DNA序列那样的有序等位基因，其可能包含自身历史记录）。因此，对于单个数据集可以比较两种分化度量：一种（GST）仅利用等位基因频率，另一种（NST）除此之外还考虑单倍型之间的相似性。提出了检验方法来比较NST和GST与零值以及它们彼此之间的差异。NST和GST之间的差异可能由多种因素引起，包括抽样假象、突变率的不等效应以及系统地理结构。所提出的方法应用于一个已发表的数据集，该数据集是关于分布在欧洲24个地区的一种蚱蜢个体的核DNA序列。通过逐步合并相关单倍型并每次重新分析数据，可获得对这些群体遗传细分的更多见解。
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