BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824;
Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824.
Proc Natl Acad Sci U S A. 2021 Feb 2;118(5). doi: 10.1073/pnas.2016886118.
Antibiotic resistance is a growing health concern. Efforts to control resistance would benefit from an improved ability to forecast when and how it will evolve. Epistatic interactions between mutations can promote divergent evolutionary trajectories, which complicates our ability to predict evolution. We recently showed that differences between genetic backgrounds can lead to idiosyncratic responses in the evolvability of phenotypic resistance, even among closely related strains. In this study, we examined whether a strain's genetic background also influences the genotypic evolution of resistance. Do lineages founded by different genotypes take parallel or divergent mutational paths to achieve their evolved resistance states? We addressed this question by sequencing the complete genomes of antibiotic-resistant clones that evolved from several different genetic starting points during our earlier experiments. We first validated our statistical approach by quantifying the specificity of genomic evolution with respect to antibiotic treatment. As expected, mutations in particular genes were strongly associated with each drug. Then, we determined that replicate lines evolved from the same founding genotypes had more parallel mutations at the gene level than lines evolved from different founding genotypes, although these effects were more subtle than those showing antibiotic specificity. Taken together with our previous work, we conclude that historical contingency can alter both genotypic and phenotypic pathways to antibiotic resistance.
抗生素耐药性是一个日益严重的健康问题。为了控制耐药性,我们需要提高预测耐药性何时以及如何演变的能力。突变之间的上位性相互作用可以促进不同的进化轨迹,这使得我们预测进化的能力变得复杂。我们最近表明,遗传背景的差异会导致表型耐药性进化能力的独特反应,即使是在密切相关的菌株之间也是如此。在这项研究中,我们研究了一个菌株的遗传背景是否也会影响其耐药性的基因型进化。不同基因型的谱系在达到其进化的耐药状态时,是否会采取平行或发散的突变路径?我们通过对从我们早期实验中的几个不同遗传起点进化而来的抗生素耐药性克隆的完整基因组进行测序来解决这个问题。我们首先通过量化基因组进化相对于抗生素处理的特异性来验证我们的统计方法。正如预期的那样,特定基因的突变与每种药物强烈相关。然后,我们确定从相同起始基因型进化而来的重复系在基因水平上的突变比从不同起始基因型进化而来的系更具有平行性,尽管这些影响比显示抗生素特异性的影响更细微。结合我们之前的工作,我们得出结论,历史偶然性可以改变抗生素耐药性的基因型和表型途径。