Metabolic interactions control the transfer and spread of plasmid-encoded antibiotic resistance during

Yinyin Ma1, Anton Kan2, David R Johnson3

  • 1Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), 8600 Dübendorf, Switzerland; Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), 8092 Zürich, Switzerland.

Cell Reports
|August 30, 2024
PubMed

Insights

Metabolic interactions shape microbial communities on surfaces, influencing the spread of antibiotic resistance. Resource competition limits resistance transfer, while cross-feeding promotes it, impacting overall spread.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Ecology

Background:

  • Surface-associated microbial systems are key sites for the dissemination of plasmid-encoded antibiotic resistance.
  • The influence of surface association on plasmid transfer dynamics and proliferation is not fully understood.
  • Metabolic interactions within surface-associated communities may drive spatial organization with implications for resistance spread.

Purpose of the Study:

  • To investigate how metabolic interactions regulate the spatial self-organization of microbial populations.
  • To determine the impact of this self-organization on the transfer and proliferation of plasmid-encoded antibiotic resistance.
  • To elucidate the mechanisms by which resource competition and cross-feeding affect resistance dissemination.

Main Methods:

  • Utilizing surface-associated microbial models to study population dynamics.
  • Analyzing spatial organization resulting from resource competition and cross-feeding.
  • Quantifying plasmid transfer rates and recipient proliferation under different metabolic conditions.

Main Results:

  • Resource competition leads to spatial segregation of populations, significantly repressing plasmid transfer.
  • Resource cross-feeding promotes spatial intermixing of populations, thereby enhancing plasmid transfer.
  • Emergent spatial arrangements dictated by metabolic interactions influence the proliferation of plasmid recipients.

Conclusions:

  • Metabolic interactions are critical regulators of spatial self-organization in surface-associated microbial communities.
  • This self-organization directly impacts the transfer and proliferation dynamics of plasmid-encoded antibiotic resistance.
  • Understanding these interactions is crucial for controlling the spread of antimicrobial resistance in microbial biofilms and other surface-associated environments.

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