From Petri Dishes to Patients to Populations: Scales and Evolutionary Mechanisms Driving Antibiotic Resistance.

Annu Rev Microbiol

Departments of Biomedical Informatics and Microbiology, Harvard Medical School, Boston, Massachusetts, USA;

Published: November 2024

AI Article Synopsis

  • * Laboratory studies have provided key insights into AMR mechanisms, but advancements in whole genome sequencing enable real-time tracking of resistance evolution in real-world settings.
  • * The review highlights the evolutionary forces behind AMR, identifies knowledge gaps, and suggests future strategies for interventions based on this understanding.

Article 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.

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Source
http://dx.doi.org/10.1146/annurev-micro-041522-102707DOI Listing

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