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调控网络结构决定了分子间上位性的模式。

Regulatory network structure determines patterns of intermolecular epistasis.

机构信息

Institute of Science and Technology Austria, Klosterneuburg, Austria.

Institute of Integrative Biology, University of Liverpool, Merseyside, United Kingdom.

出版信息

Elife. 2017 Nov 13;6:e28921. doi: 10.7554/eLife.28921.

Abstract

Most phenotypes are determined by molecular systems composed of specifically interacting molecules. However, unlike for individual components, little is known about the distributions of mutational effects of molecular systems as a whole. We ask how the distribution of mutational effects of a transcriptional regulatory system differs from the distributions of its components, by first independently, and then simultaneously, mutating a transcription factor and the associated promoter it represses. We find that the system distribution exhibits increased phenotypic variation compared to individual component distributions - an effect arising from intermolecular epistasis between the transcription factor and its DNA-binding site. In large part, this epistasis can be qualitatively attributed to the structure of the transcriptional regulatory system and could therefore be a common feature in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the constraints of individual components, thereby increasing phenotypic variation that selection could act on and facilitating adaptive evolution.

摘要

大多数表型是由特定相互作用的分子组成的分子系统决定的。然而,与单个组件不同,对于分子系统整体的突变效应分布知之甚少。我们通过独立地、然后同时地突变一个转录因子及其所抑制的相关启动子,来询问转录调控系统的突变效应分布与各组件分布有何不同。我们发现,与单个组件分布相比,系统分布表现出更大的表型变异——这种效应源于转录因子与其 DNA 结合位点之间的分子间上位性。在很大程度上,这种上位性可以从转录调控系统的结构上定性地归因,因此可能是原核生物的一个共同特征。违反直觉的是,分子间上位性可以减轻单个组件的约束,从而增加选择可以作用的表型变异,并促进适应性进化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ef5/5699867/bbb6bb1e7e67/elife-28921-fig1.jpg

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