Brief antibiotic use drives human gut bacteria towards low-cost resistance

• 成果类型: Article
• 署名作者: Yaffe, Eitan; Dethlefsen, Les; Patankar, Arati V.; Gui, Chen; Holmes, Susan; Relman, David A.
• 署名单位: Stanford University; US Department of Veterans Affairs; Veterans Health Administration (VHA); VA Palo Alto Health Care System; Stanford University; Stanford University
• 刊物名称: Nature
• ISSN/ISSBN: 0028-1793
• DOI: 10.1038/s41586-025-08781-x
• 发表日期: 2025-05-01
• 关键词: fluoroquinolone resistance; EVOLUTION; topoisomerase; ciprofloxacin; microbiota; mutations; emergence; responses; alignment; reveals

摘要

Understanding the relationship between antibiotic use and the evolution of antimicrobial resistance is vital for effective antibiotic stewardship. Yet, animal models and in vitro experiments poorly replicate real-world conditions1. To explain how resistance evolves in vivo, we exposed 60 human participants to ciprofloxacin and used longitudinal stool samples and a new computational method to assemble the genomes of 5,665 populations of commensal bacterial species within participants. Analysis of 2.3 million polymorphic sequence variants revealed 513 populations that underwent selective sweeps. We found convergent evolution focused on DNA gyrase and evidence of dispersed selective pressure at other genomic loci. Roughly 10% of susceptible bacterial populations evolved towards resistance through sweeps that involved substitutions at a specific amino acid in gyrase. The evolution of gyrase was associated with large populations that decreased in relative abundance during exposure. Sweeps persisted for more than 10 weeks in most cases and were not projected to revert within a year. Targeted amplification showed that gyrase mutations arose de novo within the participants and exhibited no measurable fitness cost. These findings revealed that brief ciprofloxacin exposure drives the evolution of resistance in gut commensals, with mutations persisting long after exposure. This study underscores the capacity of the human gut to promote the evolution of resistance and identifies key genomic and ecological factors that shape bacterial adaptation in vivo.