A Computational Model for Bacterial Run-and-Tumble Motion
arXiv:1905.03345 · doi:10.1063/1.5085836
Abstract
In our article we present a computational model for the simulation of self-propelled anisotropic bacteria. To this end we use a self-propelled particle model and augment it with a statistical algorithm for the run-and-tumble motion. We derive an equation for the distribution of reorientations of the bacteria that we use to analyze the statistics of the random walk and that allows us to tune the behavior of our model to the characteristics of an E.coli bacterium. We validate our implementation in terms of a single swimmer and demonstrate that our model is capable of reproducing E.coli's run-and-tumble motion with excellent accuracy.
arXiv commentThe following article has been accepted by The Journal of Chemical Physics. After it is published, it will be found at https://publishing.aip.org/resources/librarians/products/journals/
References in corpus (15)
- Hydrodynamics of self-propulsion near a boundary: predictions and accuracy of far-field approximations
- When are active Brownian particles and run-and-tumble particles equivalent? Consequences for motility-induced phase separation
- Diffusive transport without detailed balance in motile bacteria: Does microbiology need statistical physics?
- Emergent behavior in active colloids
- Simulation of a Single Polymer Chain in Solution by Combining Lattice Boltzmann and Molecular Dynamics
- Lattice Boltzmann simulations of soft matter systems
- ESPResSo 4.0 -- An Extensible Software Package for Simulating Soft Matter Systems
- Life around the scallop theorem
- A new model for simulating colloidal dynamics
- Run-and-Tumble Dynamics of Self-Propelled Particles in Confinement
- On the distribution and swim pressure of run-and-tumble particles in confinement
- Lattice-Boltzmann Hydrodynamics of Anisotropic Active Matter
- The Raspberry Model for Hydrodynamic Interactions Revisited. I. Periodic Arrays of Spheres and Dumbbells
- Understanding the Onset of Oscillatory Swimming in Microchannels
- The Raspberry Model for Hydrodynamic Interactions Revisited. II. The Effect of Confinement
Cited by in corpus (5)
- Shape matters: A Brownian microswimmer in a channel
- The Influence of Motility on Bacterial Accumulation in a Microporous Channel
- Optimal motility strategies for self-propelled agents to explore porous media
- Anisotropic active Brownian particle with a fluctuating propulsion force
- Bacteria optimize tumble bias to strategically navigate surface constraints