Abstract
A population-level model of bacterial chemotaxis is derived from a simple bacterial-level model of behavior. This model, to be contrasted with the Keller-Segel equations, exhibits behavior we refer to as the "volcano effect": steady-state bacterial aggregation forming a ring of higher density some distance away from an optimal environment. The model is derived, as in Erban and Othmer (2004) [1], from a transport equation in a state space including the internal biochemical variables of the bacteria and then simplified with a truncation at low moments with respect to these variables. We compare the solutions of the model to stochastic simulations of many bacteria, as well as the classic Keller-Segel model. This model captures behavior that the Keller-Segel model is unable to resolve, and sheds light on two different mechanisms that can cause a volcano effect.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1374-1388 |
| Number of pages | 15 |
| Journal | Mathematical and Computer Modelling |
| Volume | 53 |
| Issue number | 7-8 |
| DOIs | |
| State | Published - Apr 2011 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Computer Science Applications
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