毒力
生物
抗生素耐药性
抗生素
持久性(不连续性)
实验进化
病菌
抗性(生态学)
进化动力学
选择(遗传算法)
微生物学
抗药性
遗传学
生态学
基因
人口
医学
环境卫生
岩土工程
人工智能
工程类
计算机科学
作者
Erik Bakkeren,Médéric Diard,Wolf‐Dietrich Hardt
标识
DOI:10.1038/s41579-020-0378-z
摘要
Antibiotic treatment failure is of growing concern. Genetically encoded resistance is key in driving this process. However, there is increasing evidence that bacterial antibiotic persistence, a non-genetically encoded and reversible loss of antibiotic susceptibility, contributes to treatment failure and emergence of resistant strains as well. In this Review, we discuss the evolutionary forces that may drive the selection for antibiotic persistence. We review how some aspects of antibiotic persistence have been directly selected for whereas others result from indirect selection in disparate ecological contexts. We then discuss the consequences of antibiotic persistence on pathogen evolution. Persisters can facilitate the evolution of antibiotic resistance and virulence. Finally, we propose practical means to prevent persister formation and how this may help to slow down the evolution of virulence and resistance in pathogens. Antibiotic persistence is a threat to effective treatment of bacterial infections. In this Review, Bakkeren, Diard and Hardt discuss the evolutionary forces that have favoured the development of persisters in populations and the consequences for spread of resistance and virulence determinants.
科研通智能强力驱动
Strongly Powered by AbleSci AI