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Interactions in microbial communities significantly impact antibiotic treatment success. This study reveals that mutualistic relationships can harm both susceptible and resistant microbes under antibiotic pressure, while competition benefits resistant strains.

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Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Polymicrobial interactions are crucial for antibiotic treatment outcomes.
  • The response of multispecies microbial communities to antibiotics remains poorly understood.

Purpose of the Study:

  • To investigate how competitive and mutualistic interactions influence microbial community response to antibiotics.
  • To explore the role of spatial structuring in antibiotic treatment efficacy.

Main Methods:

  • Utilized an individual-based simulation model of microbial biofilms.
  • Simulated interactions between antibiotic-resistant and susceptible microbial strains.
  • Analyzed community dynamics under varying levels of competition, mutualism, and antibiotic exposure.

Main Results:

  • Increasing competition and antibiotic presence led to competitive release of resistant strains.
  • Mutualistic communities exhibited a 'mutualistic suppression effect,' harming both susceptible and resistant species.
  • Spatial feedbacks, including cross-feeding and antibiotic detoxification, influenced community resilience and cross-protection.

Conclusions:

  • Microbial metabolic interactions and spatial structuring critically shape antibiotic treatment outcomes.
  • Mutualism can lead to unexpected negative consequences under antibiotic stress.
  • Understanding these complex dynamics is key to optimizing antibiotic therapy and promoting microbiome health.