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Spatial-temporal dynamics of a microbial cooperative behavior resistant to cheating

Author

Listed:
  • Hilary Monaco

    (Tri-Institutional PhD Program in Computational Biology and Medicine
    Memorial Sloan-Kettering Cancer Center
    Icahn School of Medicine at Mount Sinai)

  • Kevin S. Liu

    (Memorial Sloan-Kettering Cancer Center
    National Institute on Aging)

  • Tiago Sereno

    (Memorial Sloan-Kettering Cancer Center
    Binghamton University)

  • Maxime Deforet

    (Memorial Sloan-Kettering Cancer Center
    Sorbonne Université, CNRS, Institut de Biologie Paris-Seine (IBPS), Laboratoire Jean Perrin (LJP))

  • Bradford P. Taylor

    (Memorial Sloan-Kettering Cancer Center
    Harvard TH Chan School of Public Health)

  • Yanyan Chen

    (Memorial Sloan-Kettering Cancer Center)

  • Caleb C. Reagor

    (Tri-Institutional PhD Program in Computational Biology and Medicine
    The Rockefeller University)

  • Joao B. Xavier

    (Memorial Sloan-Kettering Cancer Center)

Abstract

Much of our understanding of bacterial behavior stems from studies in liquid culture. In nature, however, bacteria frequently live in densely packed spatially-structured communities. How does spatial structure affect bacterial cooperative behaviors? In this work, we examine rhamnolipid production—a cooperative and virulent behavior of Pseudomonas aeruginosa. Here we show that, in striking contrast to well-mixed liquid culture, rhamnolipid gene expression in spatially-structured colonies is strongly associated with colony specific growth rate, and is impacted by perturbation with diffusible quorum signals. To interpret these findings, we construct a data-driven statistical inference model which captures a length-scale of bacterial interaction that develops over time. Finally, we find that perturbation of P. aeruginosa swarms with quorum signals preserves the cooperating genotype in competition, rather than creating opportunities for cheaters. Overall, our data demonstrate that the complex response to spatial localization is key to preserving bacterial cooperative behaviors.

Suggested Citation

  • Hilary Monaco & Kevin S. Liu & Tiago Sereno & Maxime Deforet & Bradford P. Taylor & Yanyan Chen & Caleb C. Reagor & Joao B. Xavier, 2022. "Spatial-temporal dynamics of a microbial cooperative behavior resistant to cheating," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28321-9
    DOI: 10.1038/s41467-022-28321-9
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    References listed on IDEAS

    as
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    3. Kerry E Boyle & Hilary Monaco & Dave van Ditmarsch & Maxime Deforet & Joao B Xavier, 2015. "Integration of Metabolic and Quorum Sensing Signals Governing the Decision to Cooperate in a Bacterial Social Trait," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-26, June.
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