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丰富性的上升:突变网络如何限制进化。

The ascent of the abundant: how mutational networks constrain evolution.

作者信息

Cowperthwaite Matthew C, Economo Evan P, Harcombe William R, Miller Eric L, Meyers Lauren Ancel

机构信息

Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.

出版信息

PLoS Comput Biol. 2008 Jul 18;4(7):e1000110. doi: 10.1371/journal.pcbi.1000110.

Abstract

Evolution by natural selection is fundamentally shaped by the fitness landscapes in which it occurs. Yet fitness landscapes are vast and complex, and thus we know relatively little about the long-range constraints they impose on evolutionary dynamics. Here, we exhaustively survey the structural landscapes of RNA molecules of lengths 12 to 18 nucleotides, and develop a network model to describe the relationship between sequence and structure. We find that phenotype abundance--the number of genotypes producing a particular phenotype--varies in a predictable manner and critically influences evolutionary dynamics. A study of naturally occurring functional RNA molecules using a new structural statistic suggests that these molecules are biased toward abundant phenotypes. This supports an "ascent of the abundant" hypothesis, in which evolution yields abundant phenotypes even when they are not the most fit.

摘要

自然选择驱动的进化从根本上受到其发生所处的适应度景观的塑造。然而,适应度景观广阔且复杂,因此我们对它们施加于进化动态的长期限制了解相对较少。在这里,我们详尽地探究了长度为12至18个核苷酸的RNA分子的结构景观,并开发了一个网络模型来描述序列与结构之间的关系。我们发现表型丰度——产生特定表型的基因型数量——以可预测的方式变化,并对进化动态产生关键影响。一项使用新的结构统计量对天然存在的功能性RNA分子进行的研究表明,这些分子倾向于丰度较高的表型。这支持了“丰度上升”假说,即在进化过程中会产生丰度较高的表型,即使它们并非最适应的表型。

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