Abstract
Mathematical models of bacterial populations are often written as systems of partial differential equations for the densities of bacteria and concentrations of extracellular (signal) chemicals. This approach has been employed since the seminal work of Keller and Segel in the 1970s (Keller and Segel, J. Theor. Biol. 30:235-248, 1971). The system has been shown to permit travelling wave solutions which correspond to travelling band formation in bacterial colonies, yet only under specific criteria, such as a singularity in the chemotactic sensitivity function as the signal approaches zero. Such a singularity generates infinite macroscopic velocities which are biologically unrealistic. In this paper, we formulate a model that takes into consideration relevant details of the intracellular processes while avoiding the singularity in the chemotactic sensitivity. We prove the global existence of solutions and then show the existence of travelling wave solutions both numerically and analytically. © 2010 Society for Mathematical Biology.
Original language | English (US) |
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Pages (from-to) | 1695-1733 |
Number of pages | 39 |
Journal | Bulletin of Mathematical Biology |
Volume | 73 |
Issue number | 8 |
DOIs | |
State | Published - Oct 16 2010 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): KUK-C1-013-04
Acknowledgements: CX is supported by the Mathematical Biosciences Institute under the US NSF Award 0635561. KJP would like to acknowledge support from the Mathematical Biosciences Institute and BBSRC grant BB/D019621/1 for the Center for Systems Biology at Edinburgh. HJH is supported by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (Grant 2009-0094068). The research leading to these results has received funding from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement No. 239870. This publication is based on work supported by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). RE would also like to thank Somerville College, University of Oxford, for Fulford Junior Research Fellowship.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.