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微生物进化。尽管存在序列水平的随机性,但全局上位性使适应性具有可预测性。

Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticity.

机构信息

Department of Organismic and Evolutionary Biology, Harvard University, Cambridge MA 02138.

FAS Center for Systems Biology, Harvard University, Cambridge MA 02138.

出版信息

Science. 2014 Jun 27;344(6191):1519-1522. doi: 10.1126/science.1250939.

Abstract

Epistatic interactions between mutations can make evolutionary trajectories contingent on the chance occurrence of initial mutations. We used experimental evolution in Saccharomyces cerevisiae to quantify this contingency, finding differences in adaptability among 64 closely related genotypes. Despite these differences, sequencing of 104 evolved clones showed that initial genotype did not constrain future mutational trajectories. Instead, reconstructed combinations of mutations revealed a pattern of diminishing-returns epistasis: Beneficial mutations have consistently smaller effects in fitter backgrounds. Taken together, these results show that beneficial mutations affecting a variety of biological processes are globally coupled; they interact strongly, but only through their combined effect on fitness. As a consequence, fitness evolution follows a predictable trajectory even though sequence-level adaptation is stochastic.

摘要

突变之间的上位性相互作用可以使进化轨迹依赖于初始突变的偶然发生。我们在酿酒酵母中进行了实验进化,以定量研究这种偶然性,发现 64 个密切相关基因型之间的适应性存在差异。尽管存在这些差异,但对 104 个进化克隆的测序表明,初始基因型并没有限制未来的突变轨迹。相反,重建的突变组合揭示了一种收益递减上位性模式:有益突变在更适合的背景下的影响始终较小。总的来说,这些结果表明,影响多种生物过程的有益突变在全球范围内是相互关联的;它们相互作用强烈,但只通过它们对适应性的综合影响。因此,尽管序列水平的适应是随机的,但适应性进化遵循可预测的轨迹。

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