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对现有遗传变异的正向选择特征

The signature of positive selection on standing genetic variation.

作者信息

Przeworski Molly, Coop Graham, Wall Jeffrey D

机构信息

Department of Human Genetics, University of Chicago, Illinois 60637, USA.

出版信息

Evolution. 2005 Nov;59(11):2312-23.

Abstract

Considerable interest is focused on the use of polymorphism data to identify regions of the genome that underlie recent adaptations. These searches are guided by a simple model of positive selection, in which a mutation is favored as soon as it arises. This assumption may not be realistic, as environmental changes and range expansions may lead previously neutral or deleterious alleles to become beneficial. We examine what effect this mode of selection has on patterns of variation at linked neutral sites by implementing a new coalescent model of positive directional selection on standing variation. In this model, a neutral allele arises and drifts in the population, then at frequency f becomes beneficial, and eventually reaches fixation. Depending on the value of f, this scenario can lead to a large variance in allele frequency spectra and in levels of linkage disequilibrium at linked, neutral sites. In particular, for intermediate f, the beneficial substitution often leads to a loss of rare alleles--a pattern that differs markedly from the signature of directional selection currently relied on by researchers. These findings highlight the importance of an accurate characterization of the effects of positive selection, if we are to reliably identify recent adaptations from polymorphism data.

摘要

人们对利用多态性数据来识别基因组中构成近期适应性基础的区域十分关注。这些搜索是由一个简单的正选择模型引导的,在该模型中,突变一旦出现就受到青睐。这个假设可能并不现实,因为环境变化和范围扩张可能会使以前中性或有害的等位基因变得有益。我们通过对现有变异实施一种新的正定向选择的合并模型,来研究这种选择模式对连锁中性位点的变异模式有何影响。在这个模型中,一个中性等位基因在种群中出现并漂移,然后在频率为f时变得有益,并最终达到固定。根据f的值,这种情况会导致等位基因频率谱以及连锁中性位点的连锁不平衡水平出现很大差异。特别是,对于中等f值,有益替代通常会导致稀有等位基因的丢失——这一模式与研究人员目前所依赖的定向选择特征明显不同。这些发现凸显了准确描述正选择效应的重要性,如果我们要从多态性数据中可靠地识别近期适应性的话。

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