Antimicrobial resistance (AMR) represents a critical global health threat, and a thorough understanding of resistance mechanisms in is needed to guide effective treatment interventions. This review explores recent advances for investigating AMR in , including machine learning for resistance pattern analysis, laboratory evolution to generate resistant mutants, mutant library construction, and genome sequencing for in-depth characterization. Key resistance mechanisms are discussed, including drug inactivation, target modification, altered transport, and metabolic adaptation. Additionally, we highlight strategies to mitigate the spread of AMR, such as dynamic resistance monitoring, innovative therapies like phage therapy and CRISPR-Cas technology, and tighter regulation of antibiotic use in animal production systems. This review provides actionable insights into resistance mechanisms and identifies promising directions for future antibiotic development and AMR management.
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http://dx.doi.org/10.3390/microorganisms13010051 | DOI Listing |
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