Measuring and testing genetic differentiation with ordered versus unordered alleles.
Measuring and testing genetic differentiation with ordered versus unordered alleles.
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作者：
O. Pons;R. Petit
估计和方差的多样性和分化措施细分人群提出，可以适用于单倍型（有序等位基因，如DNA序列，其中可能包含一个记录自己的历史）。因此，两种分化的措施可以比较一个单一的数据集：一个（GST），只利用等位基因的频率和其他（NST）的单倍型之间的相似性，另外考虑。测试提出了比较NST和GST与零和彼此。NST和GST之间的差异可能是由几个因素造成的，包括采样人为因素、突变率的不平等效应和复杂的地理结构。所提出的方法被应用到一个已公布的数据集，其中的核DNA序列已被确定分布在欧洲24个地区的蝗虫的个人。通过逐步组合相关的单倍型并每次重新分析数据，可以获得对这些人群遗传细分的额外见解。
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.