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异源多倍体的简单等位基因-表型多样性和分化统计

Simple allelic-phenotype diversity and differentiation statistics for allopolyploids.

作者信息

Obbard D J, Harris S A, Pannell J R

机构信息

Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.

出版信息

Heredity (Edinb). 2006 Oct;97(4):296-303. doi: 10.1038/sj.hdy.6800862. Epub 2006 Jul 5.

Abstract

The analysis of genetic diversity within and between populations is a routine task in the study of diploid organisms. However, population genetic studies of polyploid organisms have been hampered by difficulties associated with scoring and interpreting molecular data. This occurs because the presence of multiple alleles at each locus often precludes the measurement of genotype or allele frequencies. In allopolyploids, the problem is compounded because genetically distinct isoloci frequently share alleles. As a result, analysis of genetic diversity patterns in allopolyploids has tended to rely on the interpretation of phenotype frequencies, which loses information available from allele composition. Here, we propose the use of a simple allelic-phenotype diversity statistic (H') that measures diversity as the average number of alleles by which pairs of individuals differ. This statistic can be extended to a population differentiation measure (F'ST), which is analogous to FST. We illustrate the behaviour of these statistics using coalescent computer simulations that show that F'ST behaves in a qualitatively similar way to FST, thus providing a useful way to quantify population differentiation in allopolyploid species.

摘要

群体内部和群体之间的遗传多样性分析是二倍体生物研究中的一项常规任务。然而,多倍体生物的群体遗传学研究因与分子数据评分和解释相关的困难而受到阻碍。出现这种情况是因为每个基因座上存在多个等位基因常常妨碍对基因型或等位基因频率的测量。在异源多倍体中,问题更加复杂,因为遗传上不同的同基因座常常共享等位基因。因此,异源多倍体中遗传多样性模式的分析往往依赖于表型频率的解释,这会丢失等位基因组成中可用的信息。在这里,我们建议使用一种简单的等位基因 - 表型多样性统计量(H'),它将多样性测量为个体对之间不同的等位基因平均数量。这个统计量可以扩展为群体分化测量值(F'ST),它类似于FST。我们使用合并计算机模拟来说明这些统计量的行为,模拟结果表明F'ST的行为在质量上与FST相似,从而提供了一种量化异源多倍体物种群体分化的有用方法。

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