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基因多样性的估计、方差和最优抽样:I. 单倍体基因座。

Estimation, variance and optimal sampling of gene diversity : I. Haploid locus.

机构信息

Institut National de la Recherche Agronomique, Laboratoire de Biométrie, 78352, Jouy-en-Josas cedex, France.

出版信息

Theor Appl Genet. 1995 Mar;90(3-4):462-70. doi: 10.1007/BF00221991.

Abstract

An extension of Nei's analysis of diversity in a subdivided population is proposed for a haploid locus. The differentiation G STbecomes a natural extension of Wright's F STand generalizes Weir and Cockerham's parameter of co-ancestry by relaxing the assumption of identical correlation for all the alleles. Inter- and intrapopulation variances of the estimated diversities and differentiation are derived. Finally, the optimal sampling strategy for measuring G STwhen a fixed number of individuals can be analysed is considered. It is shown that, at a given locus, there is a unique sample size per population which yields the smallest variance of G ST,regardless of the number of populations studied. These theoretical developments are illustrated with an analysis of chloroplast DNA diversity in a forest tree. The results emphasize the necessity of sampling many populations, rather than many individuals per population, for an accurate measurement of the subdivision of gene diversity at a single locus.

摘要

提出了一种扩展的 Nei 分析方法,用于分析亚种群中的多样性,该方法适用于单倍体基因座。分化 G ST 成为 Wright 的 F ST 的自然扩展,并通过放宽所有等位基因的相关性相同的假设,概括了 Weir 和 Cockerham 的共同祖先参数。推导了估计多样性和分化的种群间和种群内方差。最后,考虑了在可以分析固定数量个体的情况下测量 G ST 的最佳抽样策略。结果表明,在给定的基因座上,对于每个种群,都有一个唯一的样本量,无论研究的种群数量如何,都能产生最小的 G ST 方差。这些理论发展通过对一种森林树种的叶绿体 DNA 多样性的分析得到了说明。结果强调了在单个基因座上准确测量基因多样性的细分时,需要对许多种群进行抽样,而不是对每个种群进行许多个体抽样。

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