Distributions of epistasis in microbes fit predictions from a fitness landscape model

被引:149
作者
Martin, Guillaume
Elena, Santiago F.
Lenormand, Thomas
机构
[1] CNRS, Ctr Ecol Fonct & Evolut, UMR 5175, F-34293 Montpellier, France
[2] Univ Lausanne, Dept Ecol & Evolut, CH-1015 Lausanne, Switzerland
[3] UPV, CSIC, Inst Biol Mol & Celular Plantas, Valencia 46022, Spain
关键词
D O I
10.1038/ng1998
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
How do the fitness effects of several mutations combine? Despite its simplicity, this question is central to the understanding of multilocus evolution. Epistasis (the interaction between alleles at different loci), especially epistasis for fitness traits such as reproduction and survival, influences evolutionary predictions(1,2) "almost whenever multilocus genetics matters''(3). Yet very few models(4,5) have sought to predict epistasis, and none has been empirically tested. Here we show that the distribution of epistasis can be predicted from the distribution of single mutation effects, based on a simple fitness landscape model(6). We show that this prediction closely matches the empirical measures of epistasis that have been obtained for Escherichia coli(7) and the RNA virus vesicular stomatitis virus(8). Our results suggest that a simple fitness landscape model may be sufficient to quantitatively capture the complex nature of gene interactions. This model may offer a simple and widely applicable alternative to complex metabolic network models, in particular for making evolutionary predictions.
引用
收藏
页码:555 / 560
页数:6
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