一种用于检测地理细分的统计检验。

A statistical test for detecting geographic subdivision.

作者信息

Hudson R R, Boos D D, Kaplan N L

机构信息

Department of Ecology and Evolutionary Biology, University of California, Irvine 92717.

出版信息

Mol Biol Evol. 1992 Jan;9(1):138-51. doi: 10.1093/oxfordjournals.molbev.a040703.

DOI:10.1093/oxfordjournals.molbev.a040703

PMID:1552836

Abstract

A statistical test for detecting genetic differentiation of subpopulations is described that uses molecular variation in samples of DNA sequences from two or more localities. The statistical significance of the test is determined with Monte Carlo simulations. The power of the test to detect genetic differentiation in a selectively neutral Wright-Fisher island model depends on both sample size and the rates of migration, mutation, and recombination. It is found that the power of the test is substantial with samples of size 50, when 4Nm less than 10, where N is the subpopulation size and m is the fraction of migrants in each subpopulation each generation. More powerful tests are obtained with genes with recombination than with genes without recombination.

摘要

描述了一种用于检测亚群遗传分化的统计检验方法，该方法利用来自两个或更多地点的DNA序列样本中的分子变异。通过蒙特卡罗模拟确定检验的统计显著性。在选择性中性的赖特-费希尔岛模型中，该检验检测遗传分化的功效取决于样本大小以及迁移、突变和重组的速率。研究发现，当4Nm小于10时（其中N是亚群大小，m是每代每个亚群中迁移个体的比例），样本量为50时检验的功效相当显著。与无重组的基因相比，有重组的基因能得到更强大的检验。