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MULTISCALE MODELING OF PSEUDOMONAS AERUGINOSA SWARMING.
Huijing DU1, Zhiliang Xu, Joshua D Shrout
1Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46637, USA.
Mathematical Models & Methods in Applied Sciences : M3AS
|October 4, 2011
Summary
Pseudomonas aeruginosa swarming relies on a liquid film for rapid expansion. A multiscale model reveals how bacterial behavior and quorum sensing drive complex swarm patterns and finger formation.
Area of Science:
- Microbiology and Biophysics
- Computational Biology and Mathematical Modeling
Background:
- Swarming motility in Pseudomonas aeruginosa is a complex, self-organized behavior crucial for bacterial colonization and virulence.
- Previous experiments indicated that liquid thin film formation is essential for efficient swarming, with rhlAB mutants exhibiting slower swarm expansion.
Purpose of the Study:
- To develop and utilize a multiscale model to investigate the interplay between hydrodynamics and biological mechanisms in Pseudomonas aeruginosa swarming.
- To elucidate how microscopic bacterial behavior and quorum sensing contribute to macroscopic swarm patterns and expansion dynamics.
Main Methods:
- Development of a multiscale model integrating a liquid thin film equation, convection-reaction-diffusion equations, and a cell-based stochastic discrete model.
- Simulation of bacterial swarming behavior to analyze pattern formation and expansion dynamics under varying conditions.
Main Results:
- Simulations successfully reproduced complex, fractal-like swarm patterns arising from individual bacterial behavior.
- The model demonstrated that quorum sensing-mediated rhamnolipid synthesis and subsequent liquid extraction are key drivers of rapid swarm expansion.
- Formation of finger-like structures at swarm edges, consistent with experimental observations, was also simulated.
Conclusions:
- The study validates the importance of hydrodynamical factors, particularly liquid film development, in bacterial swarming.
- The multiscale model provides a powerful tool for understanding the emergent properties of bacterial swarming driven by quorum sensing and individual cell behavior.
- Findings offer insights into the mechanisms underlying bacterial colonization and biofilm formation.
