Huseby Douglas L, Pietsch Franziska, Brandis Gerrit, Garoff Linnéa, Tegehall Angelica, Hughes Diarmaid
Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Mol Biol Evol. 2017 May 1;34(5):1029-1039. doi: 10.1093/molbev/msx052.
Ciprofloxacin is an important antibacterial drug targeting Type II topoisomerases, highly active against Gram-negatives including Escherichia coli. The evolution of resistance to ciprofloxacin in E. coli always requires multiple genetic changes, usually including mutations affecting two different drug target genes, gyrA and parC. Resistant mutants selected in vitro or in vivo can have many different mutations in target genes and efflux regulator genes that contribute to resistance. Among resistant clinical isolates the genotype, gyrA S83L D87N, parC S80I is significantly overrepresented suggesting that it has a selective advantage. However, the evolutionary or functional significance of this high frequency resistance genotype is not fully understood. By combining experimental data and mathematical modeling, we addressed the reasons for the predominance of this specific genotype. The experimental data were used to model trajectories of mutational resistance evolution under different conditions of drug exposure and population bottlenecks. We identified the order in which specific mutations are selected in the clinical genotype, showed that the high frequency genotype could be selected over a range of drug selective pressures, and was strongly influenced by the relative fitness of alternative mutations and factors affecting mutation supply. Our data map for the first time the fitness landscape that constrains the evolutionary trajectories taken during the development of clinical resistance to ciprofloxacin and explain the predominance of the most frequently selected genotype. This study provides strong support for the use of in vitro competition assays as a tool to trace evolutionary trajectories, not only in the antibiotic resistance field.
环丙沙星是一种靶向II型拓扑异构酶的重要抗菌药物,对包括大肠杆菌在内的革兰氏阴性菌具有高度活性。大肠杆菌对环丙沙星的耐药性演变通常需要多个基因变化,通常包括影响两个不同药物靶基因gyrA和parC的突变。在体外或体内选择的耐药突变体在靶基因和外排调节基因中可能有许多不同的突变,这些突变有助于耐药性。在耐药临床分离株中,基因型gyrA S83L D87N、parC S80I的比例明显过高,表明它具有选择优势。然而,这种高频耐药基因型的进化或功能意义尚未完全了解。通过结合实验数据和数学建模,我们探讨了这种特定基因型占优势的原因。实验数据用于模拟在不同药物暴露条件和群体瓶颈下突变耐药性进化的轨迹。我们确定了临床基因型中特定突变的选择顺序,表明高频基因型可以在一系列药物选择压力下被选择,并且受到替代突变的相对适应性和影响突变供应的因素的强烈影响。我们的数据首次绘制了限制环丙沙星临床耐药性发展过程中进化轨迹的适应性景观,并解释了最常选择的基因型的优势。这项研究为使用体外竞争试验作为追踪进化轨迹的工具提供了有力支持,不仅在抗生素耐药性领域。