Literature DB >> 35696568

Antiactivators prevent self-sensing in Pseudomonas aeruginosa quorum sensing.

Parker Smith1, Martin Schuster1.   

Abstract

Quorum sensing is described as a widespread cell density-dependent signaling mechanism in bacteria. Groups of cells coordinate gene expression by secreting and responding to diffusible signal molecules. Theory, however, predicts that individual cells may short-circuit this mechanism by directly responding to the signals they produce irrespective of cell density. In this study, we characterize this self-sensing effect in the acyl-homoserine lactone quorum sensing system of Pseudomonas aeruginosa. We show that antiactivators, a set of proteins known to affect signal sensitivity, function to prevent self-sensing. Measuring quorum-sensing gene expression in individual cells at very low densities, we find that successive deletion of antiactivator genes qteE and qslA produces a bimodal response pattern, in which increasing proportions of constitutively induced cells coexist with uninduced cells. Comparing responses of signal-proficient and -deficient cells in cocultures, we find that signal-proficient cells show a much higher response in the antiactivator mutant background but not in the wild-type background. Our results experimentally demonstrate the antiactivator-dependent transition from group- to self-sensing in the quorum-sensing circuitry of P. aeruginosa. Taken together, these findings extend our understanding of the functional capacity of quorum sensing. They highlight the functional significance of antiactivators in the maintenance of group-level signaling and experimentally prove long-standing theoretical predictions.

Entities:  

Keywords:  Pseudomonas aeruginosa; acyl-homoserine lactone; antiactivation; quorum sensing; self-sensing

Mesh:

Substances:

Year:  2022        PMID: 35696568      PMCID: PMC9231504          DOI: 10.1073/pnas.2201242119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  56 in total

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Authors:  Joshua W Williams; Xiaohui Cui; Andre Levchenko; Ann M Stevens
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10.  Optimal tuning of bacterial sensing potential.

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