Substrate stiffness impacts early biofilm formation by modulating Pseudomonas aeruginosa twitching motility

  1. Sofia Gomez
  2. Lionel Bureau
  3. Karin John
  4. Elise-Noëlle Chêne
  5. Delphine Débarre  Is a corresponding author
  6. Sigolene Lecuyer  Is a corresponding author
  1. Université Grenoble Alpes, CNRS, France
  2. ENS de Lyon, CNRS, France
  3. ENS de Lyon,CNRS, France

Abstract

Surface-associated lifestyles dominate in the bacterial world. Large multicellular assemblies, called biofilms, are essential to the survival of bacteria in harsh environments, and are closely linked to antibiotic resistance in pathogenic strains. Biofilms stem from the surface colonization of a wide variety of substrates encountered by bacteria, from living tissues to inert materials. Here, we demonstrate experimentally that the promiscuous opportunistic pathogen Pseudomonas aeruginosa explores substrates differently based on their rigidity, leading to striking variations in biofilm structure, exopolysaccharides (EPS) distribution, strain mixing during co-colonization and phenotypic expression. Using simple kinetic models, we show that these phenotypes arise through a mechanical interaction between the elasticity of the substrate and the type IV pilus (T4P) machinery, that mediates the surface-based motility called twitching. Together, our findings reveal a new role for substrate softness in the spatial organization of bacteria in complex microenvironments, with far-reaching consequences on efficient biofilm formation.

Data availability

Figure 2 - Source Data and Figure 3 - Source Data contain the numerical data used to generate the figures.

Article and author information

Author details

  1. Sofia Gomez

    Université Grenoble Alpes, CNRS, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  2. Lionel Bureau

    Université Grenoble Alpes, CNRS, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  3. Karin John

    Université Grenoble Alpes, CNRS, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1678-6880
  4. Elise-Noëlle Chêne

    Laboratoire de Physique, ENS de Lyon, CNRS, Lyon, France
    Competing interests
    The authors declare that no competing interests exist.
  5. Delphine Débarre

    Université Grenoble Alpes, CNRS, Grenoble, France
    For correspondence
    delphine.debarre@univ-grenoble-alpes.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0513-6172
  6. Sigolene Lecuyer

    Laboratoire de Physique, ENS de Lyon,CNRS, Lyon, France
    For correspondence
    sigolene.lecuyer@ens-lyon.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7393-2667

Funding

Agence Nationale de la Recherche (ANR-19-CE42-0010)

  • Delphine Débarre

Labex Tec21 (ANR-11-LABX-0030)

  • Lionel Bureau
  • Karin John
  • Delphine Débarre
  • Sigolene Lecuyer

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Tâm Mignot, CNRS-Aix Marseille University, France

Version history

  1. Preprint posted: February 19, 2022 (view preprint)
  2. Received: June 15, 2022
  3. Accepted: May 5, 2023
  4. Accepted Manuscript published: May 9, 2023 (version 1)
  5. Version of Record published: June 9, 2023 (version 2)

Copyright

© 2023, Gomez et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Sofia Gomez
  2. Lionel Bureau
  3. Karin John
  4. Elise-Noëlle Chêne
  5. Delphine Débarre
  6. Sigolene Lecuyer
(2023)
Substrate stiffness impacts early biofilm formation by modulating Pseudomonas aeruginosa twitching motility
eLife 12:e81112.
https://doi.org/10.7554/eLife.81112

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https://doi.org/10.7554/eLife.81112

Further reading

    1. Medicine
    2. Microbiology and Infectious Disease
    Yi-Shin Chang, Kai Huang ... David L Perkins
    Research Article

    Background:

    End-stage renal disease (ESRD) patients experience immune compromise characterized by complex alterations of both innate and adaptive immunity, and results in higher susceptibility to infection and lower response to vaccination. This immune compromise, coupled with greater risk of exposure to infectious disease at hemodialysis (HD) centers, underscores the need for examination of the immune response to the COVID-19 mRNA-based vaccines.

    Methods:

    The immune response to the COVID-19 BNT162b2 mRNA vaccine was assessed in 20 HD patients and cohort-matched controls. RNA sequencing of peripheral blood mononuclear cells was performed longitudinally before and after each vaccination dose for a total of six time points per subject. Anti-spike antibody levels were quantified prior to the first vaccination dose (V1D0) and 7 d after the second dose (V2D7) using anti-spike IgG titers and antibody neutralization assays. Anti-spike IgG titers were additionally quantified 6 mo after initial vaccination. Clinical history and lab values in HD patients were obtained to identify predictors of vaccination response.

    Results:

    Transcriptomic analyses demonstrated differing time courses of immune responses, with prolonged myeloid cell activity in HD at 1 wk after the first vaccination dose. HD also demonstrated decreased metabolic activity and decreased antigen presentation compared to controls after the second vaccination dose. Anti-spike IgG titers and neutralizing function were substantially elevated in both controls and HD at V2D7, with a small but significant reduction in titers in HD groups (p<0.05). Anti-spike IgG remained elevated above baseline at 6 mo in both subject groups. Anti-spike IgG titers at V2D7 were highly predictive of 6-month titer levels. Transcriptomic biomarkers after the second vaccination dose and clinical biomarkers including ferritin levels were found to be predictive of antibody development.

    Conclusions:

    Overall, we demonstrate differing time courses of immune responses to the BTN162b2 mRNA COVID-19 vaccination in maintenance HD subjects comparable to healthy controls and identify transcriptomic and clinical predictors of anti-spike IgG titers in HD. Analyzing vaccination as an in vivo perturbation, our results warrant further characterization of the immune dysregulation of ESRD.

    Funding:

    F30HD102093, F30HL151182, T32HL144909, R01HL138628. This research has been funded by the University of Illinois at Chicago Center for Clinical and Translational Science (CCTS) award UL1TR002003.

    1. Microbiology and Infectious Disease
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