4.8 Article

Cooperation, competition and antibiotic resistance in bacterial colonies

期刊

ISME JOURNAL
卷 12, 期 6, 页码 1582-1593

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41396-018-0090-4

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资金

  1. Systems Biology Doctoral Training Centre
  2. EPSRC [EP/G03706X/1]
  3. Marie Curie Intra-European Fellowship
  4. Ambizione grant from the Swiss National Science Foundation
  5. Instituto de Salud Carlos III [MS15/00012]
  6. European Social Fund
  7. European Development Regional Fund A way to achieve Europe (ERDF)
  8. European Research Council [242670]
  9. Calleva Research Centre for Evolution and Human Science (Magdalen College, Oxford)
  10. Royal Society, European Research Council [281591]
  11. Wellcome Trust [106918/Z/15/Z]

向作者/读者索取更多资源

Bacteria commonly live in dense and genetically diverse communities associated with surfaces. In these communities, competition for resources and space is intense, and yet we understand little of how this affects the spread of antibioticresistant strains. Here, we study interactions between antibiotic-resistant and susceptible strains using in vitro competition experiments in the opportunistic pathogen Pseudomonas aeruginosa and in silico simulations. Selection for intracellular resistance to streptomycin is very strong in colonies, such that resistance is favoured at very low antibiotic doses. In contrast, selection for extracellular resistance to carbenicillin is weak in colonies, and high doses of antibiotic are required to select for resistance. Manipulating the density and spatial structure of colonies reveals that this difference is partly explained by the fact that the local degradation of carbenicillin by p-lactamase-secreting cells protects neighbouring sensitive cells from carbenicillin. In addition, we discover a second unexpected effect: the inducible elongation of cells in response to carbenicillin allows sensitive cells to better compete for the rapidly growing colony edge. These combined effects mean that antibiotic treatment can select against antibiotic-resistant strains, raising the possibility of treatment regimes that suppress sensitive strains while limiting the rise of antibiotic resistance. We argue that the detailed study of bacterial interactions will be fundamental to understanding and overcoming antibiotic resistance.

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