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一种基于微卫星等位基因频率的群体细分度量方法。

A measure of population subdivision based on microsatellite allele frequencies.

作者信息

Slatkin M

机构信息

Department of Integrative Biology, University of California, Berkeley 94720.

出版信息

Genetics. 1995 Jan;139(1):457-62. doi: 10.1093/genetics/139.1.457.

Abstract

A new measure of the extent of population subdivision as inferred from allele frequencies at microsatellite loci is proposed and tested with computer simulations. This measure, called R(ST), is analogous to Wright's F(ST) in representing the proportion of variation between populations. It differs in taking explicit account of the mutation process at microsatellite loci, for which a generalized stepwise mutation model appears appropriate. Simulations of subdivided populations were carried out to test the performance of R(ST) and F(ST). It was found that, under the generalized stepwise mutation model, R(ST) provides relatively unbiased estimates of migration rates and times of population divergence while F(ST) tends to show too much population similarity, particularly when migration rates are low or divergence times are long [corrected].

摘要

本文提出了一种基于微卫星位点等位基因频率推断群体细分程度的新方法,并通过计算机模拟进行了测试。这种方法称为R(ST),类似于赖特的F(ST),用于表示群体间变异的比例。不同之处在于,R(ST)明确考虑了微卫星位点的突变过程,对于该过程,广义逐步突变模型似乎是合适的。对细分群体进行了模拟,以测试R(ST)和F(ST)的性能。结果发现,在广义逐步突变模型下,R(ST)能提供相对无偏的迁移率和群体分化时间估计,而F(ST)往往显示出过多的群体相似性,尤其是在迁移率低或分化时间长时[已修正]。

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