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基于等位基因频率数据检测近期种群瓶颈效应的两种检验方法的描述与功效分析

Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data.

作者信息

Cornuet J M, Luikart G

机构信息

Laboratoire Population, Génétique, Evolution, CNRS, Gif sur Yvette, France.

出版信息

Genetics. 1996 Dec;144(4):2001-14. doi: 10.1093/genetics/144.4.2001.

Abstract

When a population experiences a reduction of its effective size, it generally develops a heterozygosity excess at selectively neutral loci, i.e., the heterozygosity computed from a sample of genes is larger than the heterozygosity expected from the number of alleles found in the sample if the population were at mutation drift equilibrium. The heterozygosity excess persists only a certain number of generations until a new equilibrium is established. Two statistical tests for detecting a heterozygosity excess are described. They require measurements of the number of alleles and heterozygosity at each of several loci from a population sample. The first test determines if the proportion of loci with heterozygosity excess is significantly larger than expected at equilibrium. The second test establishes if the average of standardized differences between observed and expected heterozygosities is significantly different from zero. Type I and II errors have been evaluated by computer simulations, varying sample size, number of loci, bottleneck size, time elapsed since the beginning of the bottleneck and level of variability of loci. These analyses show that the most useful markers for bottleneck detection are those evolving under the infinite allele model (IAM) and they provide guidelines for selecting sample sizes of individuals and loci. The usefulness of these tests for conservation biology is discussed.

摘要

当一个种群的有效规模减小,它通常会在选择中性位点出现杂合度过剩,即从基因样本计算出的杂合度大于如果该种群处于突变 - 漂变平衡时,根据样本中发现的等位基因数量预期的杂合度。杂合度过剩仅持续一定数量的世代,直到建立新的平衡。描述了两种检测杂合度过剩的统计检验方法。它们需要测量来自种群样本的几个位点中每个位点的等位基因数量和杂合度。第一种检验确定具有杂合度过剩的位点比例是否显著大于平衡时的预期比例。第二种检验确定观察到的和预期的杂合度之间标准化差异的平均值是否显著不同于零。通过计算机模拟评估了I型和II型错误,模拟中改变了样本大小、位点数量、瓶颈大小、自瓶颈开始以来经过的时间以及位点的变异水平。这些分析表明,用于检测瓶颈的最有用标记是那些在无限等位基因模型(IAM)下进化的标记,并且它们为选择个体和位点的样本大小提供了指导。讨论了这些检验在保护生物学中的实用性。

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