Stable antibiotic resistance and rapid human adaptation in livestock-associated MRSA

Marta Matuszewska1, Gemma G R Murray1, Xiaoliang Ba1

  • 1Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.

Elife
|June 28, 2022
PubMed

Insights

Mobile genetic elements (MGEs) drive bacterial evolution. Livestock-associated MRSA stably inherited resistance genes, impacting adaptation to human hosts and slowing resistance loss despite reduced farm antibiotic use.

Area of Science:

  • Microbiology
  • Genomics
  • Evolutionary Biology

Background:

  • Mobile genetic elements (MGEs) influence bacterial adaptation and pathogen evolution.
  • Methicillin-resistant Staphylococcus aureus (MRSA) clonal-complex (CC) 398 is prevalent in livestock and increasingly causes human infections.
  • Distinct MGE profiles differentiate livestock-associated CC398 from human-associated strains.

Purpose of the Study:

  • To characterize the evolutionary dynamics of MGEs in MRSA CC398 over 27 years.
  • To understand how MGE acquisition and loss shape MRSA adaptation and antibiotic resistance.
  • To predict the future trajectory of livestock-associated MRSA in response to changing agricultural practices.

Main Methods:

  • Genomic analysis of 1180 MRSA CC398 isolates from livestock and humans.
  • Phylogenetic analysis to track MGE inheritance and loss over time.
  • Comparative genomics to identify MGEs associated with specific CC398 lineages.

Main Results:

  • Livestock-associated CC398 acquired a stable Tn916 transposon conferring tetracycline resistance 57 years ago.
  • A type V SCCmec element with methicillin, tetracycline, and heavy metal resistance genes was acquired 35 years ago, with occasional replacements.
  • Prophages with human immune evasion genes were repeatedly gained and lost, contrasting with stable resistance-associated MGEs.

Conclusions:

  • Adaptation to the human host outpaces MGE loss during livestock-associated MRSA transmission.
  • Stable inheritance of resistance genes suggests a slow realization of reduced antibiotic/zinc oxide use impact on MRSA.
  • Understanding MGE dynamics is crucial for predicting pathogen evolution and managing antimicrobial resistance.

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