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Adaptation kinetics in bacterial chemotaxis

Block, Steven M. and Segall, Jeffrey E. and Berg, Howard C. (1983) Adaptation kinetics in bacterial chemotaxis. Journal of Bacteriology, 154 (1). pp. 312-323. ISSN 0021-9193. http://resolver.caltech.edu/CaltechAUTHORS:BLOjbact83

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Abstract

Cells of Escherichia coli, tethered to glass by a single flagellum, were subjected to constant flow of a medium containing the attractant alpha-methyl-DL-aspartate. The concentration of this chemical was varied with a programmable mixing apparatus over a range spanning the dissociation constant of the chemoreceptor at rates comparable to those experienced by cells swimming in spatial gradients. When an exponentially increasing ramp was turned on (a ramp that increases the chemoreceptor occupancy linearly), the rotational bias of the cells (the fraction of time spent spinning counterclockwise) changed rapidly to a higher stable level, which persisted for the duration of the ramp. The change in bias increased with ramp rate, i.e., with the time rate of change of chemoreceptor occupancy. This behavior can be accounted for by a model for adaptation involving proportional control, in which the flagellar motors respond to an error signal proportional to the difference between the current occupancy and the occupancy averaged over the recent past. Distributions of clockwise and counterclockwise rotation intervals were found to be exponential. This result cannot be explained by a response regular model in which transitions between rotational states are generated by threshold crossings of a regular subject to statistical fluctuation; this mechanism generates distributions with far too many long events. However, the data can be fit by a model in which transitions between rotational states are governed by first-order rate constants. The error signal acts as a bias regulator, controlling the values of these constants.


Item Type:Article
Additional Information:Copyright © 1983 by the American Society for Microbiology. Received 18 October 1982/Accepted 21 January 1983 We thank Gary Lorden for consultations on probability theory, Robert Smyth for providing the cubic spline-fit routine, and Greg Matthews for digitizing. This work was supported by Public Health Service grant AI 16478 from the National Institute of Allergy and Infectious Diseases. S.M.B. and J.E.S. acknowledge support as National Science Foundation predoctoral fellows during some of this work.
Record Number:CaltechAUTHORS:BLOjbact83
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:BLOjbact83
Alternative URL:http://jb.asm.org/cgi/content/abstract/154/1/312
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Deposited On:16 Mar 2006
Last Modified:26 Dec 2012 08:48

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