Literature DB >> 6339475

Adaptation kinetics in bacterial chemotaxis.

S M Block, J E Segall, H C Berg.   

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.

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Year:  1983        PMID: 6339475      PMCID: PMC217461          DOI: 10.1128/jb.154.1.312-323.1983

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  21 in total

1.  Change in direction of flagellar rotation is the basis of the chemotactic response in Escherichia coli.

Authors:  S H Larsen; R W Reader; E N Kort; W W Tso; J Adler
Journal:  Nature       Date:  1974-05-03       Impact factor: 49.962

2.  The gradient-sensing mechanism in bacterial chemotaxis.

Authors:  R M Macnab; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1972-09       Impact factor: 11.205

3.  Chemotaxis in Escherichia coli analysed by three-dimensional tracking.

Authors:  H C Berg; D A Brown
Journal:  Nature       Date:  1972-10-27       Impact factor: 49.962

4.  The range of attractant concentrations for bacterial chemotaxis and the threshold and size of response over this range. Weber law and related phenomena.

Authors:  R Mesibov; G W Ordal; J Adler
Journal:  J Gen Physiol       Date:  1973-08       Impact factor: 4.086

5.  Common mechanism for repellents and attractants in bacterial chemotaxis.

Authors:  N Tsang; R Macnab; D E Koshland
Journal:  Science       Date:  1973-07-06       Impact factor: 47.728

6.  Quantitative analysis of bacterial migration in chemotaxis.

Authors:  F W Dahlquist; P Lovely; D E Koshland
Journal:  Nat New Biol       Date:  1972-03-29

7.  A method for measuring chemotaxis and use of the method to determine optimum conditions for chemotaxis by Escherichia coli.

Authors:  J Adler
Journal:  J Gen Microbiol       Date:  1973-01

8.  Nonchemotactic mutants of Escherichia coli.

Authors:  J B Armstrong; J Adler; M M Dahl
Journal:  J Bacteriol       Date:  1967-01       Impact factor: 3.490

9.  Chemotaxis toward amino acids in Escherichia coli.

Authors:  R Mesibov; J Adler
Journal:  J Bacteriol       Date:  1972-10       Impact factor: 3.490

10.  Temporal stimulation of chemotaxis in Escherichia coli.

Authors:  D A Brown; H C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  1974-04       Impact factor: 11.205

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  112 in total

1.  Temperature dependence of switching of the bacterial flagellar motor by the protein CheY(13DK106YW).

Authors:  L Turner; A D Samuel; A S Stern; H C Berg
Journal:  Biophys J       Date:  1999-07       Impact factor: 4.033

2.  Response tuning in bacterial chemotaxis.

Authors:  R Jasuja; Y Lin; D R Trentham; S Khan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

3.  A nonlinear stimulus-response relation in bacterial chemotaxis.

Authors:  A M Stock
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

4.  Characterization of photodamage to Escherichia coli in optical traps.

Authors:  K C Neuman; E H Chadd; G F Liou; K Bergman; S M Block
Journal:  Biophys J       Date:  1999-11       Impact factor: 4.033

5.  Multi-stage regulation, a key to reliable adaptive biochemical pathways.

Authors:  G Almogy; L Stone; N Ben-Tal
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

6.  Frequency distribution histograms for the rapid analysis of data.

Authors:  P V Burke; B L Bullen; K L Poff
Journal:  Plant Physiol       Date:  1988       Impact factor: 8.340

7.  Behavioral responses of Rhodobacter sphaeroides to linear gradients of the nutrients succinate and acetate.

Authors:  H L Packer; J P Armitage
Journal:  Appl Environ Microbiol       Date:  2000-12       Impact factor: 4.792

8.  New motion analysis system for characterization of the chemosensory response kinetics of Rhodobacter sphaeroides under different growth conditions.

Authors:  Mila Kojadinovic; Antoine Sirinelli; George H Wadhams; Judith P Armitage
Journal:  Appl Environ Microbiol       Date:  2011-04-22       Impact factor: 4.792

9.  A chemotactic signaling surface on CheY defined by suppressors of flagellar switch mutations.

Authors:  S J Roman; M Meyers; K Volz; P Matsumura
Journal:  J Bacteriol       Date:  1992-10       Impact factor: 3.490

10.  Derivation of a bacterial nutrient-taxis system with doubly degenerate cross-diffusion as the parabolic limit of a velocity-jump process.

Authors:  Ramón G Plaza
Journal:  J Math Biol       Date:  2019-01-02       Impact factor: 2.259

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