Relationship between cellular response and behavioral variability in bacterial chemotaxis.
Over the last decades, bacterial chemotaxis in Escherichia coli has emerged as a canonical system for the study of signal transduction. A remarkable feature of this system is the coexistence of a robust adaptive behavior observed at the population level with a large fluctuating behavior in single cells [Korobkova E, Emonet T, Vilar JMG, Shimizu TS, Cluzel P (2004) Nature 428:574-578]. Using a unified stochastic model, we demonstrate that this coexistence is not fortuitous but a direct consequence of the architecture of this adaptive system. The methylation and demethylation cycles that regulate the activity of receptor-kinase complexes are ultrasensitive because they operate outside the region of first-order kinetics. As a result, the receptor-kinase that governs cellular behavior exhibits a sigmoidal activation curve. We propose that the steepness of this kinase activation curve simultaneously controls the behavioral variability in nonstimulated individual bacteria and the duration of the adaptive response to small stimuli. We predict that the fluctuating behavior and the chemotactic response of individual cells both peak within the transition region of this sigmoidal curve. Large-scale simulations of digital bacteria suggest that the chemotaxis network is tuned to simultaneously maximize both the random spread of cells in the absence of nutrients and the cellular response to gradients of attractant. This study highlights a fundamental relation from which the behavioral variability of nonstimulated cells is used to infer the timing of the cellular response to small stimuli.
Emonet
Thierry
T
Department of Physics, Institute for Biophysical Dynamics, and The James Franck Institute, University of Chicago, Gordon Center for Integrative Science, 929 East 57th Street, Chicago, IL 60637, USA. thierry.emonet@yale.edu
Cluzel
Philippe
P
D018407:Bacterial Physiological Phenomena; D001426:Bacterial Proteins / Q000502:physiology; D002633:Chemotaxis / Q000502:physiology*; D003198:Computer Simulation; D004926:Escherichia coli / Q000737:chemistry / Q000502:physiology; D029968:Escherichia coli Proteins / Q000502:physiology*; D008565:Membrane Proteins / Q000502:physiology; D000072236:Methyl-Accepting Chemotaxis Proteins; D008745:Methylation; D008780:Methyltransferases / Q000502:physiology; D008954:Models, Biological; D011494:Protein Kinases / Q000378:metabolism / Q000502:physiology*; D015398:Signal Transduction; D013269:Stochastic Processes
D001426:Bacterial Proteins; D029968:Escherichia coli Proteins; D008565:Membrane Proteins; D000072236:Methyl-Accepting Chemotaxis Proteins; C069656:CheB protein, Bacteria; C513923:CheR protein, E coli; D008780:Methyltransferases; D011494:Protein Kinases