The fitness effect of mutations across environments: A survey in light of fitness landscape models

被引:150
作者
Martin, Guillaume [1 ]
Lenormand, Thomas [1 ]
机构
[1] CNRS, Ctr Ecol Fonct & Evolut, UMR 5175, F-34293 Montpellier, France
关键词
environmental stress; fitness landscape; genotype-by-environment interaction; mutation; survey;
D O I
10.1554/06-162.1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The fitness effects of mutations on a given genotype are rarely constant across environments to which this genotype is more or less adapted, that is, between more or less stressful conditions. This can have important implications, especially on the evolution of ecological specialization. Stress is thought to increase the variance of mutations' fitness effects, their average, or the number of expressed Mutations. Although empirical evidence is available for these three mechanisms, their relative magnitude is Poorly Understood. In this paper, we propose a simple approach to discriminate between these mechanisms. using a Survey of empirical measures of imitation effects in contrasted environments. This survey, across various species and environments, shows that stress mainly increases the variance of Mutations' effects on fitness, with a Much more limited impact on their average effect or on the number of expressed initiations. This pattern is consistent with a simple model in which fitness is a Gaussian function of phenotypes around an environmentally determined optimum. These results Suggest that a simple, mathematically tractable landscape model may not be quantitatively as unrealistic as previously Suggested. They also Suggest that mutation parameter estimates may be strongly biased when measured in stressful environments.
引用
收藏
页码:2413 / 2427
页数:15
相关论文
共 53 条
[51]   Stress-directed adaptive mutations and evolution [J].
Wright, BE .
MOLECULAR MICROBIOLOGY, 2004, 52 (03) :643-650
[52]   Genotype-environment interactions of spontaneous mutations for vegetative fitness in the human pathogenic fungus Cryptococcus neoformans [J].
Xu, JP .
GENETICS, 2004, 168 (03) :1177-1188
[53]  
Yang HP, 2001, GENETICS, V157, P1257