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搭便车效应和上位效应在适应种群中引发了群体动态。

Hitchhiking and epistasis give rise to cohort dynamics in adapting populations.

作者信息

Buskirk Sean W, Peace Ryan Emily, Lang Gregory I

机构信息

Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015.

Program of Bioengineering, Lehigh University, Bethlehem, PA 18015.

出版信息

Proc Natl Acad Sci U S A. 2017 Aug 1;114(31):8330-8335. doi: 10.1073/pnas.1702314114. Epub 2017 Jul 18.

Abstract

Beneficial mutations are the driving force of adaptive evolution. In asexual populations, the identification of beneficial alleles is confounded by the presence of genetically linked hitchhiker mutations. Parallel evolution experiments enable the recognition of common targets of selection; yet these targets are inherently enriched for genes of large target size and mutations of large effect. A comprehensive study of individual mutations is necessary to create a realistic picture of the evolutionarily significant spectrum of beneficial mutations. Here we use a bulk-segregant approach to identify the beneficial mutations across 11 lineages of experimentally evolved yeast populations. We report that nearly 80% of detected mutations have no discernible effects on fitness and less than 1% are deleterious. We determine the distribution of driver and hitchhiker mutations in 31 mutational cohorts, groups of mutations that arise synchronously from low frequency and track tightly with one another. Surprisingly, we find that one-third of cohorts lack identifiable driver mutations. In addition, we identify intracohort synergistic epistasis between alleles of and , which arose together in a low-frequency lineage.

摘要

有益突变是适应性进化的驱动力。在无性繁殖群体中,有益等位基因的识别会因遗传连锁的搭便车突变的存在而变得复杂。平行进化实验能够识别共同的选择目标;然而,这些目标本质上富集了大目标大小的基因和大效应的突变。对单个突变进行全面研究对于构建有益突变在进化上具有重要意义的频谱的真实图景是必要的。在这里,我们使用群体分离分析法来识别实验进化的酵母群体的11个谱系中的有益突变。我们报告称,近80%检测到的突变对适应性没有明显影响,不到1%是有害的。我们确定了31个突变群组中驱动突变和搭便车突变的分布,这些突变群组是由低频同步出现且彼此紧密跟踪的突变组成。令人惊讶的是,我们发现三分之一的群组缺乏可识别的驱动突变。此外,我们在一个低频谱系中共同出现的α和β等位基因之间识别出群组内协同上位性。

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