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Stochastic effects in bacterial communication mediated by extracellular vesicles.
Weaver, Brian P; Haselwandter, Christoph A; Boedicker, James Q.
Affiliation
  • Weaver BP; Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, USA.
  • Haselwandter CA; Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, USA.
  • Boedicker JQ; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California 90089, USA.
Phys Rev E ; 107(2-1): 024409, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36932546
ABSTRACT
Quorum sensing (QS) allows bacterial cells to sense changes in local cell density and, hence, to regulate multicellular processes, including biofilm formation, regulation of virulence, and horizontal gene transfer. While, traditionally, QS was thought to involve the exchange of extracellular signal molecules free in solution, recent experiments have shown that for some bacterial systems a substantial fraction of signal molecules are packaged and delivered in extracellular vesicles. How the packaging of signal molecules in extracellular vesicles influences the ability of cells to communicate and coordinate multicellular behaviors remains largely unknown. We present here a stochastic reaction-diffusion model of QS that accounts for the exchange of both freely diffusing and vesicle-associated signal molecules. We find that the delivery of signal molecules via extracellular vesicles amplifies local fluctuations in the signal concentration, which can strongly affect the dynamics and spatial range of bacterial communication. For systems with multiple bacterial colonies, extracellular vesicles provide an alternate pathway for signal transport between colonies, and may be crucial for long-distance signal exchange in environments with strong degradation of free signal molecules.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Extracellular Vesicles Language: En Journal: Phys Rev E Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Extracellular Vesicles Language: En Journal: Phys Rev E Year: 2023 Document type: Article Affiliation country: United States