Epistasis analysis uncovers hidden antibiotic resistance-associated fitness costs hampering the evolution of MRSA

Maho Yokoyama1, Emily Stevens2, Maisem Laabei3

  • 1Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.

Genome Biology
|July 20, 2018
PubMed
Abstract

Insights

Mupirocin resistance in Staphylococcus aureus is not cost-free, despite initial assumptions. A hidden fitness cost related to toxin production explains why this antibiotic resistance is not more widespread.

Area of Science:

  • Microbiology
  • Genetics
  • Molecular Biology

Background:

  • Antibiotic resistance mechanisms often impose fitness costs on bacteria, potentially limiting their spread.
  • Mupirocin resistance in Staphylococcus aureus was previously thought to be cost-free, suggesting few barriers to its dissemination.
  • However, surveillance data contradicts this, indicating limited success of this resistance mechanism in healthy communities.

Purpose of the Study:

  • To investigate the apparent discordance between the presumed cost-free nature of mupirocin resistance and its limited prevalence.
  • To elucidate the underlying molecular mechanisms explaining the fitness consequences of mupirocin resistance in Staphylococcus aureus.

Main Methods:

  • Epistasis analysis of two MRSA collections.
  • Proteomic analysis of toxin production.
  • Investigation of the ileS gene and its interaction with other genetic polymorphisms.

Main Results:

  • Mupirocin resistance-conferring mutations in the ileS gene interact with other genetic polymorphisms.
  • These interactions affect the production levels of the PSM family of toxins.
  • Reduced toxin production masks the true fitness cost of mupirocin resistance, especially when toxin production is essential.

Conclusions:

  • A hidden fitness cost, linked to reduced toxin production, explains the limited prevalence of mupirocin resistance.
  • Understanding fitness consequences is crucial for antibiotic prescribing policies, especially with dwindling antibiotic options.
  • Holistic approaches combining surveillance and functional genomics are necessary for a comprehensive understanding of antibiotic resistance.

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