Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA.
Roche Pharma Research and Early Development, Immunology, Inflammation, and Infectious Diseases, Basel, Switzerland.
mBio. 2021 Jun 29;12(3):e0098721. doi: 10.1128/mBio.00987-21. Epub 2021 Jun 22.
Resistance to the broad-spectrum antibiotic ciprofloxacin is detected at high rates for a wide range of bacterial pathogens. To investigate the dynamics of ciprofloxacin resistance development, we applied a comparative resistomics workflow for three clinically relevant species of Gram-negative bacteria: Escherichia coli, Acinetobacter baumannii, and Pseudomonas aeruginosa. We combined experimental evolution in a morbidostat with deep sequencing of evolving bacterial populations in time series to reveal both shared and unique aspects of evolutionary trajectories. Representative clone characterization by sequencing and MIC measurements enabled direct assessment of the impact of mutations on the extent of acquired drug resistance. In all three species, we observed a two-stage evolution: (i) early ciprofloxacin resistance reaching 4- to 16-fold the MIC for the wild type, commonly as a result of single mutations in DNA gyrase target genes ( or ), and (ii) additional genetic alterations affecting the transcriptional control of the drug efflux machinery or secondary target genes (DNA topoisomerase or ). The challenge of spreading antibiotic resistance calls for systematic efforts to develop more "irresistible" drugs based on a deeper understanding of dynamics and mechanisms of antibiotic resistance acquisition. To address this challenge, we have established a comparative resistomics approach which combines experimental evolution in a continuous-culturing device, the morbidostat, with ultradeep sequencing of evolving microbial populations to identify evolutionary trajectories (mutations and genome rearrangements) leading to antibiotic resistance over a range of target pathogens. Here, we report the comparative resistomics study of three Gram-negative bacteria (Escherichia coli, Acinetobacter baumannii, and Pseudomonas aeruginosa), which revealed shared and species-specific aspects of the evolutionary landscape leading to robust resistance against the clinically important antibiotic ciprofloxacin. Despite some differences between morbidostat-deduced mutation profiles and those observed in clinical isolates of individual species, a cross-species comparative resistomics approach allowed us to recapitulate all types of clinically relevant ciprofloxacin resistance mechanisms. This observation supports the anticipated utility of this approach in guiding rational optimization of treatment regimens for current antibiotics and the development of novel antibiotics with minimized resistance propensities.
广谱抗生素环丙沙星的耐药性在多种细菌病原体中检测到很高的比率。为了研究环丙沙星耐药性发展的动态,我们应用了一种比较耐药组学工作流程,用于三种临床相关的革兰氏阴性细菌:大肠杆菌、鲍曼不动杆菌和铜绿假单胞菌。我们将病态生物测定中的实验进化与时间序列中进化细菌群体的深度测序相结合,揭示了进化轨迹的共同和独特方面。通过测序和 MIC 测量对代表性克隆进行特征描述,使我们能够直接评估突变对获得性药物耐药程度的影响。在所有三种物种中,我们观察到两个阶段的进化:(i)早期环丙沙星耐药性达到野生型的 4-16 倍,通常是由于 DNA 回旋酶靶基因(或)中的单个突变的结果,和(ii)影响药物外排机制或次级靶基因(DNA 拓扑异构酶或)转录控制的额外遗传改变。抗生素耐药性的传播是一个挑战,需要系统地努力开发更“不可抗拒”的药物,这需要基于对抗生素耐药性获得的动态和机制的更深入理解。为了应对这一挑战,我们建立了一种比较耐药组学方法,该方法将连续培养装置(病态生物测定仪)中的实验进化与进化微生物种群的超深度测序相结合,以确定导致抗生素耐药性的进化轨迹(突变和基因组重排)针对一系列目标病原体。在这里,我们报告了三种革兰氏阴性细菌(大肠杆菌、鲍曼不动杆菌和铜绿假单胞菌)的比较耐药组学研究,该研究揭示了导致对临床重要抗生素环丙沙星产生强大耐药性的进化景观的共同和物种特异性方面。尽管病态生物测定推断的突变谱与个别物种的临床分离株观察到的突变谱存在一些差异,但跨物种比较耐药组学方法使我们能够重现所有类型的临床相关环丙沙星耐药机制。这一观察结果支持了该方法在指导当前抗生素治疗方案的合理优化和开发耐药倾向最小化的新型抗生素方面的预期应用。