Departamento de Biotecnología Microbiana, Centro Nacional de Biotecnología-CSIC, Madrid, Spain.
PLoS Genet. 2013;9(1):e1003167. doi: 10.1371/journal.pgen.1003167. Epub 2013 Jan 10.
Understanding how mutator strains emerge in bacterial populations is relevant both to evolutionary theory and to reduce the threat they pose in clinical settings. The rise of mutator alleles is understood as a result of their hitchhiking with linked beneficial mutations, although the factors that govern this process remain unclear. A prominent but underappreciated fact is that each mutator allele increases only a specific spectrum of mutational changes. This spectrum has been speculated to alter the distribution of fitness effects of beneficial mutations, potentially affecting hitchhiking. To study this possibility, we analyzed the fitness distribution of beneficial mutations generated from different mutator and wild-type Escherichia coli strains. Using antibiotic resistance as a model system, we show that mutational spectra can alter these distributions substantially, ultimately determining the competitive ability of each strain across environments. Computer simulation showed that the effect of mutational spectrum on hitchhiking dynamics follows a non-linear function, implying that even slight spectrum-dependent fitness differences are sufficient to alter mutator success frequency by several orders of magnitude. These results indicate an unanticipated central role for the mutational spectrum in the evolution of bacterial mutation rates. At a practical level, this study indicates that knowledge of the molecular details of resistance determinants is crucial for minimizing mutator evolution during antibiotic therapy.
了解突变速率菌株如何在细菌种群中出现,这既与进化理论有关,也与降低它们在临床环境中构成的威胁有关。尽管人们尚不清楚控制这一过程的因素,但突变速率等位基因的上升被认为是与其连锁的有利突变共同进化的结果。一个突出但未被充分认识的事实是,每个突变速率等位基因仅增加特定的突变变化谱。有人推测,这种频谱会改变有利突变的适应度效应分布,从而可能影响共同进化。为了研究这种可能性,我们分析了来自不同突变速率和野生型大肠杆菌菌株的有利突变的适应度分布。我们使用抗生素抗性作为模型系统,表明突变谱可以显著改变这些分布,最终决定每种菌株在不同环境中的竞争能力。计算机模拟表明,突变谱对共同进化动力学的影响遵循非线性函数,这意味着即使是微小的依赖于频谱的适应度差异,也足以使突变速率菌株的成功频率发生几个数量级的变化。这些结果表明,突变谱在细菌突变率的进化中起着出人意料的核心作用。在实际层面上,这项研究表明,了解抗性决定因素的分子细节对于在抗生素治疗期间最小化突变速率菌株的进化至关重要。