Bioinformatics Research Center, Aarhus University, 8000C Aarhus, Denmark.
Genetics. 2011 Nov;189(3):939-49. doi: 10.1534/genetics.111.130468. Epub 2011 Aug 25.
Adaptations are constructed through the sequential substitution of beneficial mutations by natural selection. However, the rarity of beneficial mutations has precluded efforts to describe even their most basic properties. Do beneficial mutations typically confer small or large fitness gains? Are their fitness effects environment specific, or are they broadly beneficial across a range of environments? To answer these questions, we used two subsets (n = 18 and n = 63) of a large library of mutants carrying antibiotic resistance mutations in the bacterium Pseudomonas fluorescens whose fitness, along with the antibiotic sensitive ancestor, was assayed across 95 novel environments differing in the carbon source available for growth. We explore patterns of genotype-by-environment (G × E) interactions and ecological specialization among the 18 mutants initially found superior to the sensitive ancestor in one environment. We find that G × E is remarkably similar between the two sets of mutants and that beneficial mutants are not typically associated with large costs of adaptation. Fitness effects among beneficial mutants depart from a strict exponential distribution: they assume a variety of shapes that are often roughly L shaped but always right truncated. Distributions of (beneficial) fitness effects predicted by a landscape model assuming multiple traits underlying fitness and a single optimum often provide a good description of the empirical distributions in our data. Simulations of data sets containing a mixture of single and double mutants under this landscape show that inferences about the distribution of fitness effects of beneficial mutants is quite robust to contamination by second-site mutations.
适应是通过自然选择对有利突变的顺序替代而构建的。然而,有利突变的稀有性使得我们无法描述它们最基本的特性。有利突变通常会带来小的还是大的适应增益?它们的适应效应是特定于环境的,还是在一系列环境中普遍有益?为了回答这些问题,我们使用了在荧光假单胞菌中携带抗生素抗性突变的大型突变体文库的两个子集(n=18 和 n=63),这些突变体的适应度以及抗生素敏感的祖先在 95 种新型环境中进行了测定,这些环境在生长可利用的碳源方面存在差异。我们探讨了在一个环境中最初优于敏感祖先的 18 个突变体之间的基因型-环境(G×E)相互作用和生态特化模式。我们发现,两个突变体集中的 G×E 非常相似,而且有利突变体通常与较大的适应成本无关。有利突变体之间的适应度效应偏离严格的指数分布:它们呈现出多种形状,通常大致呈 L 形,但总是右截断。在假定适应度受多个性状和单个最佳值控制的景观模型预测的有利突变体的(有利)适应度效应分布与我们数据中的经验分布非常吻合。在这种景观下,包含单突变体和双突变体混合物的数据集的模拟表明,对有利突变体的适应度效应分布的推断对第二位置突变的污染具有很强的稳健性。