IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/3003316.html
   My bibliography  Save this article

Quantitative modeling of multi-signal quorum-sensing maps environment to bacterial regulatory responses

Author

Listed:
  • Stephen Thomas
  • Ayatollah S El-Zayat
  • James Gurney
  • Jennifer Rattray
  • Sam P Brown

Abstract

Bacterial quorum sensing is often mediated by multiple signaling systems that interact with each other. The quorum-sensing systems of Pseudomonas aeruginosa, for example, are considered hierarchical, with the las system acting as a master regulator. By experimentally controlling the concentration of auto-inducer signals in a signal deficient strain (PAO1ΔlasIΔrhlI), we show that the two primary quorum-sensing systems—las and rhl—act reciprocally rather than hierarchically. Just as the las system’s 3‑oxo‑C12‑HSL can induce increased expression of rhlI, the rhl system’s C4‑HSL increases the expression level of lasI. We develop a mathematical model to quantify relationships both within and between the las and rhl quorum-sensing systems and the downstream genes they influence. The results show that not only do the systems interact in a reciprocal manner, but they do so asymmetrically, cooperatively, and nonlinearly, with the combination of C4‑HSL and 3‑oxo‑C12‑HSL increasing expression level far more than the sum of their individual effects. We next extend our parameterized mathematical model to generate quantitative predictions on how a QS-controlled effector gene (lasB) responds to changes in wildtype bacterial stationary phase density and find close quantitative agreement with an independent dataset. Finally, we use our parameterized model to assess how changes in multi-signal interactions modulate functional responses to variation in social (population density) and physical (mass transfer) environment and demonstrate that a reciprocal architecture is more responsive to density and more robust to mass transfer than a strict hierarchy.Bacterial quorum sensing is often assumed to follow a strict hierarchy, limiting understanding of how multiple signals interact. This study finds that Pseudomonas aeruginosa uses a reciprocal, cooperative system that enhances responsiveness to population density and environmental changes.

Suggested Citation

  • Stephen Thomas & Ayatollah S El-Zayat & James Gurney & Jennifer Rattray & Sam P Brown, 2025. "Quantitative modeling of multi-signal quorum-sensing maps environment to bacterial regulatory responses," PLOS Biology, Public Library of Science, vol. 23(9), pages 1-18, September.
  • Handle: RePEc:plo:pbio00:3003316
    DOI: 10.1371/journal.pbio.3003316
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003316
    Download Restriction: no

    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3003316&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pbio.3003316?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:3003316. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.