病菌
生物
抗生素耐药性
抗性(生态学)
寄主(生物学)
选择(遗传算法)
实验进化
拉伤
抗生素
微生物学
人类病原体
遗传学
基因
生态学
解剖
人工智能
计算机科学
作者
Julio Diaz Caballero,Rachel M. Wheatley,Natalia Kapel,Carla López-Causapé,Thomas Van der Schalk,Alyson Quinn,Liam Shaw,Lois Ogunlana,Claudia Recanatini,Basil Britto Xavier,Leen Timbermont,Jan Kluytmans,Alexey Ruzin,Mark T. Esser,Surbhi Malhotra-Kumar,Carlos Juan,R. Craig MacLean
标识
DOI:10.1038/s41467-023-39416-2
摘要
Abstract Antibiotic resistance poses a global health threat, but the within-host drivers of resistance remain poorly understood. Pathogen populations are often assumed to be clonal within hosts, and resistance is thought to emerge due to selection for de novo variants. Here we show that mixed strain populations are common in the opportunistic pathogen P. aeruginosa . Crucially, resistance evolves rapidly in patients colonized by multiple strains through selection for pre-existing resistant strains. In contrast, resistance evolves sporadically in patients colonized by single strains due to selection for novel resistance mutations. However, strong trade-offs between resistance and growth rate occur in mixed strain populations, suggesting that within-host diversity can also drive the loss of resistance in the absence of antibiotic treatment. In summary, we show that the within-host diversity of pathogen populations plays a key role in shaping the emergence of resistance in response to treatment.
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