https://doi.org/10.25678/000CZ8
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Data for: Metabolic interactions regulate the transfer and proliferation of plasmid-encoded antibiotic resistance during surface-associated microbial growth

Surface-associated microbial systems are hotspots for the spread of plasmid-encoded antibiotic resistance, but how surface association affects plasmid transfer and proliferation remains unclear. Surface association enables prolonged spatial proximities between different populations, which promotes plasmid transfer between them. However, surface association also fosters strong metabolic interactions between different populations, which can direct their spatial self-organization with consequences for plasmid transfer and proliferation. Here, we hypothesize that metabolic interactions direct the spatial self-organization of different populations and, in turn, regulate the spread of plasmid-encoded antibiotic resistance. We show that resource competition causes populations to spatially segregate, which represses plasmid transfer. In contrast, resource cross-feeding causes populations to spatially intermix, which promotes plasmid transfer. We further show that the spatial positionings that emerge from metabolic interactions determine the proliferation of plasmid recipients. Our results demonstrate that metabolic interactions are important regulators of both the transfer and proliferation plasmid-encoded antibiotic resistance.

Data and Resources

Citation

Yinyin, M., Anton, K., & Johnson, D. (2022). Data for: Metabolic interactions regulate the transfer and proliferation of plasmid-encoded antibiotic resistance during surface-associated microbial growth (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000CZ8
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Metadata

  Publication Data Package for:
  • Missing publication reference
Open Data Open Data
Long-term data Long-term data
Author
  • Yinyin, Ma
  • Anton, Kan
  • Johnson, David
Keywords Antibiotic resistance,Horizontal gene transfer,Conjugation,Microbial Interactions,Range expansion
Variables
  • bacteria_abundance
  • concentration
  • flow_cytometric_cell_counts
  • fluorescence
Substances (scientific names)
  • None
Substances (generic terms)
  • None
Taxa (scientific names)
  • Pseudomonas stutzeri
Organisms (generic terms)
  • bacteria
Systems
  • lab
Timerange
  • 2018 TO 2023
Review Level domain specific
Curator Johnson, David
Contact Johnson, David <David.Johnson@eawag.ch>
DOI 10.25678/000CZ8