{"title":"From Petri Dishes to Patients to Populations: Scales and Evolutionary Mechanisms Driving Antibiotic Resistance.","authors":"Célia Souque, Indra González Ojeda, Michael Baym","doi":"10.1146/annurev-micro-041522-102707","DOIUrl":null,"url":null,"abstract":"<p><p>Tackling the challenge created by antibiotic resistance requires understanding the mechanisms behind its evolution. Like any evolutionary process, the evolution of antimicrobial resistance (AMR) is driven by the underlying variation in a bacterial population and the selective pressures acting upon it. Importantly, both selection and variation will depend on the scale at which resistance evolution is considered (from evolution within a single patient to the host population level). While laboratory experiments have generated fundamental insights into the mechanisms underlying antibiotic resistance evolution, the technological advances in whole genome sequencing now allow us to probe antibiotic resistance evolution beyond the lab and directly record it in individual patients and host populations. Here we review the evolutionary forces driving antibiotic resistance at each of these scales, highlight gaps in our current understanding of AMR evolution, and discuss future steps toward evolution-guided interventions.</p>","PeriodicalId":7946,"journal":{"name":"Annual review of microbiology","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of microbiology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-micro-041522-102707","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Tackling the challenge created by antibiotic resistance requires understanding the mechanisms behind its evolution. Like any evolutionary process, the evolution of antimicrobial resistance (AMR) is driven by the underlying variation in a bacterial population and the selective pressures acting upon it. Importantly, both selection and variation will depend on the scale at which resistance evolution is considered (from evolution within a single patient to the host population level). While laboratory experiments have generated fundamental insights into the mechanisms underlying antibiotic resistance evolution, the technological advances in whole genome sequencing now allow us to probe antibiotic resistance evolution beyond the lab and directly record it in individual patients and host populations. Here we review the evolutionary forces driving antibiotic resistance at each of these scales, highlight gaps in our current understanding of AMR evolution, and discuss future steps toward evolution-guided interventions.
要应对抗生素耐药性带来的挑战,就必须了解其进化背后的机制。与任何进化过程一样,抗菌药耐药性(AMR)的进化也是由细菌种群的潜在变异和作用于细菌种群的选择压力所驱动的。重要的是,选择和变异都取决于考虑耐药性进化的规模(从单个病人体内的进化到宿主群体水平)。虽然实验室实验已经让我们对抗生素耐药性进化的机制有了基本的了解,但现在全基因组测序技术的进步让我们能够超越实验室,直接记录单个患者和宿主群体的抗生素耐药性进化。在此,我们回顾了在这些尺度上驱动抗生素耐药性的进化力量,强调了我们目前对 AMR 进化认识的差距,并讨论了未来以进化为指导的干预措施。
期刊介绍:
Annual Review of Microbiology is a Medical and Microbiology Journal and published by Annual Reviews Inc. The Annual Review of Microbiology, in publication since 1947, covers significant developments in the field of microbiology, encompassing bacteria, archaea, viruses, and unicellular eukaryotes. The current volume of this journal has been converted from gated to open access through Annual Reviews' Subscribe to Open program, with all articles published under a CC BY license. The Impact Factor of Annual Review of Microbiology is 10.242 (2024) Impact factor. The Annual Review of Microbiology Journal is Indexed with Pubmed, Scopus, UGC (University Grants Commission).