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Related Experiment Videos

Individual-based modelling of biofilms.

J U Kreft1, C Picioreanu, J W Wimpenny

  • 1Cardiff School of Biosciences, Cardiff University, PO Box 915, Cardiff CF10 3TL, UK. kreft@cardiff.ac.uk

Microbiology (Reading, England)
|November 9, 2001
PubMed
Summary
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Individual-based modeling (IbM) reveals that biofilm complexity arises from cell interactions and environment. Spreading mechanisms and chance attachment significantly influence biofilm shape and community structure, beyond diffusion and reaction processes.

Area of Science:

  • Microbiology
  • Computational Biology
  • Biophysics

Background:

  • Biofilms exhibit complex organization arising from interactions between individual cells and their environment.
  • Understanding this complexity is crucial for fields ranging from medicine to industrial processes.

Purpose of the Study:

  • To develop and compare an individual-based model (IbM) of nitrifying biofilm growth with a biomass-based model (BbM).
  • To investigate the roles of diffusion, reaction, growth, and biomass spreading mechanisms in biofilm formation and complexity.

Main Methods:

  • Developed BacSim version 2, a 2D multi-substrate, multi-species individual-based model for nitrifying biofilms.
  • Compared IbM simulations with a biomass-based model (BbM) using diffusion-reaction-growth principles.

Related Experiment Videos

  • Analyzed the impact of individual cell growth variability and substrate concentration heterogeneity.

    • Main Results:

    • Both IbM and BbM showed similar overall biofilm growth driven by diffusion-reaction processes.
    • Biofilm shape differed significantly due to distinct biomass spreading mechanisms (cell shoving in IbM vs. cellular automata in BbM).
    • IbM biofilms were more rounded and confluent; initial attachment site and spreading mechanisms were critical for shape and single-cell growth.

    Conclusions:

    • Biofilm shape is significantly influenced by the spreading mechanism, partially independent of growth dynamics.
    • Heterogeneity in substrate concentrations, driven by diffusion-reaction and spreading, is crucial.
    • Spreading and chance initial attachment events play primary roles, alongside diffusion-reaction, in the emergence of biofilm community complexity.