Your browser doesn't support javascript.
loading
Multigenerational memory and adaptive adhesion in early bacterial biofilm communities.
Lee, Calvin K; de Anda, Jaime; Baker, Amy E; Bennett, Rachel R; Luo, Yun; Lee, Ernest Y; Keefe, Joshua A; Helali, Joshua S; Ma, Jie; Zhao, Kun; Golestanian, Ramin; O'Toole, George A; Wong, Gerard C L.
Afiliación
  • Lee CK; Department of Bioengineering, University of California Los Angeles, CA 90095.
  • de Anda J; Department of Chemistry and Biochemistry, University of California Los Angeles, CA 90095.
  • Baker AE; California NanoSystems Institute, University of California Los Angeles, CA 90095.
  • Bennett RR; Department of Bioengineering, University of California Los Angeles, CA 90095.
  • Luo Y; Department of Chemistry and Biochemistry, University of California Los Angeles, CA 90095.
  • Lee EY; California NanoSystems Institute, University of California Los Angeles, CA 90095.
  • Keefe JA; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755.
  • Helali JS; Rudolf Peierls Centre for Theoretical Physics, University of Oxford, OX1 3NP Oxford, United Kingdom.
  • Ma J; Department of Physics, University of Pennsylvania, Philadelphia, PA 19104.
  • Zhao K; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755.
  • Golestanian R; DuPont Industrial Bioscience, Palo Alto, CA 94304.
  • O'Toole GA; Department of Bioengineering, University of California Los Angeles, CA 90095.
  • Wong GCL; Department of Chemistry and Biochemistry, University of California Los Angeles, CA 90095.
Proc Natl Acad Sci U S A ; 115(17): 4471-4476, 2018 04 24.
Article en En | MEDLINE | ID: mdl-29559526
ABSTRACT
Using multigenerational, single-cell tracking we explore the earliest events of biofilm formation by Pseudomonas aeruginosa During initial stages of surface engagement (≤20 h), the surface cell population of this microbe comprises overwhelmingly cells that attach poorly (∼95% stay <30 s, well below the ∼1-h division time) with little increase in surface population. If we harvest cells previously exposed to a surface and direct them to a virgin surface, we find that these surface-exposed cells and their descendants attach strongly and then rapidly increase the surface cell population. This "adaptive," time-delayed adhesion requires determinants we showed previously are critical for surface sensing type IV pili (TFP) and cAMP signaling via the Pil-Chp-TFP system. We show that these surface-adapted cells exhibit damped, coupled out-of-phase oscillations of intracellular cAMP levels and associated TFP activity that persist for multiple generations, whereas surface-naïve cells show uncorrelated cAMP and TFP activity. These correlated cAMP-TFP oscillations, which effectively impart intergenerational memory to cells in a lineage, can be understood in terms of a Turing stochastic model based on the Pil-Chp-TFP framework. Importantly, these cAMP-TFP oscillations create a state characterized by a suppression of TFP motility coordinated across entire lineages and lead to a drastic increase in the number of surface-associated cells with near-zero translational motion. The appearance of this surface-adapted state, which can serve to define the historical classification of "irreversibly attached" cells, correlates with family tree architectures that facilitate exponential increases in surface cell populations necessary for biofilm formation.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pseudomonas aeruginosa / Adhesión Bacteriana / Sistemas de Mensajero Secundario / AMP Cíclico / Fimbrias Bacterianas / Biopelículas Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pseudomonas aeruginosa / Adhesión Bacteriana / Sistemas de Mensajero Secundario / AMP Cíclico / Fimbrias Bacterianas / Biopelículas Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article