ArticleInternational journal of molecular sciences2013
Excitation and adaptation in bacteria-a model signal transduction system that controls taxis and spatial pattern formation.
Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Identification of the governing equation of stimulus-response data for run-and-tumble dynamics.PLoS computational biology · 2025Article
- Multiscale phenomena and patterns in biological systems: special issue in honour of Hans Othmer.Journal of mathematical biology · 2020Article
- Inferring the Chemotactic Strategy of P. putida and E. coli Using Modified Kramers-Moyal Coefficients.PLoS computational biology · 2017Article
- Derivation of the bacterial run-and-tumble kinetic equation from a model with biochemical pathway.Journal of mathematical biology · 2016Article
- Moment-flux models for bacterial chemotaxis in large signal gradients.Journal of mathematical biology · 2016Article
- Macroscopic equations for bacterial chemotaxis: integration of detailed biochemistry of cell signaling.Journal of mathematical biology · 2015Article
- Limits of feedback control in bacterial chemotaxis.PLoS computational biology · 2014Article
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3 authors.
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Abstract
The machinery for transduction of chemotactic stimuli in the bacterium E. coli is one of the most completely characterized signal transduction systems, and because of its relative simplicity, quantitative analysis of this system is possible. Here we discuss models which reproduce many of the important behaviors of the system. The important characteristics of the signal transduction system are excitation and adaptation, and the latter implies that the transduction system can function as a "derivative sensor" with respect to the ligand concentration in that the DC component of a signal is ultimately ignored if it is not too large. This temporal sensing mechanism provides the bacterium with a memory of its passage through spatially- or temporally-varying signal fields, and adaptation is essential for successful chemotaxis. We also discuss some of the spatial patterns observed in populations and indicate how cell-level behavior can be embedded in population-level descriptions.
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