ArticleBiophysical journal1995
A model of excitation and adaptation in bacterial chemotaxis.
Article in Biophysical journal, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Identification of the governing equation of stimulus-response data for run-and-tumble dynamics.PLoS computational biology · 2025Article
- Evolutionary Stability of Small Molecular Regulatory Networks That Exhibit Near-Perfect Adaptation.Biology · 2023Article
- Data-driven quantification of the robustness and sensitivity of cell signaling networks.Physical biology · 2013Article
- Cell responses only partially shape cell-to-cell variations in protein abundances in Escherichia coli chemotaxis.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Excitation and adaptation in bacteria-a model signal transduction system that controls taxis and spatial pattern formation.International journal of molecular sciences · 2013Article
- Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.Briefings in bioinformatics · 2012Article
- A predictive computational model of the kinetic mechanism of stimulus-induced transducer methylation and feedback regulation through CheY in archaeal phototaxis and chemotaxis.BMC systems biology · 2010Article
- Dependence of bacterial chemotaxis on gradient shape and adaptation rate.PLoS computational biology · 2008Article
- Design and diversity in bacterial chemotaxis: a comparative study in Escherichia coli and Bacillus subtilis.PLoS biology · 2004Article
- Perfect and near-perfect adaptation in a model of bacterial chemotaxis.Biophysical journal · 2003Article
- Bright lights, abundant operons--fluorescence and genomic technologies advance studies of bacterial locomotion and signal transduction: review of the BLAST meeting, Cuernavaca, Mexico, 14 to 19 January 2001.Journal of bacteriology · 2002Article
- Multi-stage regulation, a key to reliable adaptive biochemical pathways.Biophysical journal · 2001Article
- Robust perfect adaptation in bacterial chemotaxis through integral feedback control.Proceedings of the National Academy of Sciences of the United States of America · 2000Article
- CheZ has no effect on flagellar motors activated by CheY13DK106YW.Journal of bacteriology · 1998Article
- Response regulator output in bacterial chemotaxis.The EMBO journal · 1998Article
- Quantitative modeling of stochastic systems in molecular biology by using stochastic Petri nets.Proceedings of the National Academy of Sciences of the United States of America · 1998Article
- Origins of individual swimming behavior in bacteria.Biophysical journal · 1998Article
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2 authors.
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Abstract
We present a model of the chemotactic mechanism of Escherichia coli that exhibits both initial excitation and eventual complete adaptation to any and all levels of stimulus ("exact" adaptation). In setting up the reaction network, we use only known interactions and experimentally determined cytosolic concentrations. Whenever possible, rate coefficients are first assigned experimentally measured values; second, we permit some variation in these rate coefficients by using a multiple-well optimization technique and incremental adjustment to obtain values that are sufficient to engender initial response to stimuli (excitation) and an eventual return of behavior to baseline (adaptation). The predictions of the model are similar to the observed behavior of wild-type bacteria in regard to the time scale of excitation in the presence of both attractant and repellent. The model predicts a weaker response to attractant than that observed experimentally, and the time scale of adaptation does not depend as strongly upon stimulant concentration as does that for wild-type bacteria. The mechanism responsible for long-term adaptation is local rather than global: on addition of a repellent or attractant, the receptor types not sensitive to that attractant or repellent do not change their average methylation level in the long term, although transient changes do occur. By carrying out a phenomenological simulation of bacterial chemotaxis, we find that the model is insufficiently sensitive to effect taxis in a gradient of attractant. However, by arbitrarily increasing the sensitivity of the motor to the tumble effector (phosphorylated CheY), we can obtain chemotactic behavior.
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