Mathematical Description of Bacterial Traveling Pulses

被引:74
作者
Saragosti, Jonathan [1 ]
Calvez, Vincent [2 ,3 ]
Bournaveas, Nikolaos [4 ]
Buguin, Axel [1 ]
Silberzan, Pascal [1 ]
Perthame, Benoit [5 ,6 ]
机构
[1] Inst Curie, CNRS, UMR 168, F-75231 Paris, France
[2] Ecole Normale Super Lyon, CNRS, Unite Math Pures & Appl, UMR 5669, F-69364 Lyon, France
[3] INRIA Rhone Alpes, NUMED, Lyon, France
[4] Univ Edinburgh, Sch Math, Edinburgh, Midlothian, Scotland
[5] Univ Paris 06, CNRS, Lab Jacques Louis Lions, UMR 7598, Paris, France
[6] Inst Univ France, Paris, France
关键词
ESCHERICHIA-COLI; GLOBAL EXISTENCE; CHEMOTAXIS; MODELS; WAVES; AGGREGATION; EQUATIONS; SYSTEM;
D O I
10.1371/journal.pcbi.1000890
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The Keller-Segel system has been widely proposed as a model for bacterial waves driven by chemotactic processes. Current experiments on Escherichia coli have shown the precise structure of traveling pulses. We present here an alternative mathematical description of traveling pulses at the macroscopic scale. This modeling task is complemented with numerical simulations in accordance with the experimental observations. Our model is derived from an accurate kinetic description of the mesoscopic run-and-tumble process performed by bacteria. This can account for recent experimental observations with E. coli. Qualitative agreements include the asymmetry of the pulse and transition in the collective behaviour (clustered motion versus dispersion). In addition, we can capture quantitatively the traveling speed of the pulse as well as its characteristic length. This work opens several experimental and theoretical perspectives since coefficients at the macroscopic level are derived from considerations at the cellular scale. For instance, the particular response of a single cell to chemical cues turns out to have a strong effect on collective motion. Furthermore, the bottom-up scaling allows us to perform preliminary mathematical analysis and write efficient numerical schemes. This model is intended as a predictive tool for the investigation of bacterial collective motion.
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页数:12
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