Literature DB >> 10781070

Robust perfect adaptation in bacterial chemotaxis through integral feedback control.

T M Yi1, Y Huang, M I Simon, J Doyle.   

Abstract

Integral feedback control is a basic engineering strategy for ensuring that the output of a system robustly tracks its desired value independent of noise or variations in system parameters. In biological systems, it is common for the response to an extracellular stimulus to return to its prestimulus value even in the continued presence of the signal-a process termed adaptation or desensitization. Barkai, Alon, Surette, and Leibler have provided both theoretical and experimental evidence that the precision of adaptation in bacterial chemotaxis is robust to dramatic changes in the levels and kinetic rate constants of the constituent proteins in this signaling network [Alon, U., Surette, M. G., Barkai, N. & Leibler, S. (1998) Nature (London) 397, 168-171]. Here we propose that the robustness of perfect adaptation is the result of this system possessing the property of integral feedback control. Using techniques from control and dynamical systems theory, we demonstrate that integral control is structurally inherent in the Barkai-Leibler model and identify and characterize the key assumptions of the model. Most importantly, we argue that integral control in some form is necessary for a robust implementation of perfect adaptation. More generally, integral control may underlie the robustness of many homeostatic mechanisms.

Mesh:

Year:  2000        PMID: 10781070      PMCID: PMC18287          DOI: 10.1073/pnas.97.9.4649

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

1.  Highly optimized tolerance: a mechanism for power laws in designed systems.

Authors:  J M Carlson; J Doyle
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-08

2.  Robustness in simple biochemical networks.

Authors:  N Barkai; S Leibler
Journal:  Nature       Date:  1997-06-26       Impact factor: 49.962

3.  Interaction of CheB with chemotaxis signal transduction components in Escherichia coli: modulation of the methylesterase activity and effects on cell swimming behavior.

Authors:  R C Stewart; C B Russell; A F Roth; F W Dahlquist
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1988

4.  Kinetics of receptor modification. The multiply methylated aspartate receptors involved in bacterial chemotaxis.

Authors:  T C Terwilliger; J Y Wang; D E Koshland
Journal:  J Biol Chem       Date:  1986-08-15       Impact factor: 5.157

5.  Purification and characterization of the S-adenosylmethionine:glutamyl methyltransferase that modifies membrane chemoreceptor proteins in bacteria.

Authors:  S A Simms; A M Stock; J B Stock
Journal:  J Biol Chem       Date:  1987-06-25       Impact factor: 5.157

6.  A mechanism for exact sensory adaptation based on receptor modification.

Authors:  L A Segel; A Goldbeter; P N Devreotes; B E Knox
Journal:  J Theor Biol       Date:  1986-05-21       Impact factor: 2.691

7.  Transient response to chemotactic stimuli in Escherichia coli.

Authors:  H C Berg; P M Tedesco
Journal:  Proc Natl Acad Sci U S A       Date:  1975-08       Impact factor: 11.205

8.  Signal processing times in bacterial chemotaxis.

Authors:  J E Segall; M D Manson; H C Berg
Journal:  Nature       Date:  1982-04-29       Impact factor: 49.962

9.  Attenuation of sensory receptor signaling by covalent modification.

Authors:  K A Borkovich; L A Alex; M I Simon
Journal:  Proc Natl Acad Sci U S A       Date:  1992-08-01       Impact factor: 11.205

10.  Changing reactivity of receptor carboxyl groups during bacterial sensing.

Authors:  J B Stock; D E Koshland
Journal:  J Biol Chem       Date:  1981-11-10       Impact factor: 5.157

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  303 in total

1.  Cell signaling pathways as control modules: complexity for simplicity?

Authors:  D A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

2.  Dynamic modeling of gene expression data.

Authors:  N S Holter; A Maritan; M Cieplak; N V Fedoroff; J R Banavar
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-13       Impact factor: 11.205

3.  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

4.  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.

Authors:  Robert B Bourret; Nyles W Charon; Ann M Stock; Ann H West
Journal:  J Bacteriol       Date:  2002-01       Impact factor: 3.490

5.  Models of eukaryotic gradient sensing: application to chemotaxis of amoebae and neutrophils.

Authors:  Andre Levchenko; Pablo A Iglesias
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

6.  Mutation, specialization, and hypersensitivity in highly optimized tolerance.

Authors:  Tong Zhou; J M Carlson; John Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-12       Impact factor: 11.205

7.  Complexity and robustness.

Authors:  J M Carlson; John Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

8.  Perfect and near-perfect adaptation in a model of bacterial chemotaxis.

Authors:  Bernardo A Mello; Yuhai Tu
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

9.  Quantitative analysis of aspartate receptor signaling complex reveals that the homogeneous two-state model is inadequate: development of a heterogeneous two-state model.

Authors:  Joshua A Bornhorst; Joseph J Falke
Journal:  J Mol Biol       Date:  2003-03-07       Impact factor: 5.469

Review 10.  Responding to chemical gradients: bacterial chemotaxis.

Authors:  Victor Sourjik; Ned S Wingreen
Journal:  Curr Opin Cell Biol       Date:  2011-12-09       Impact factor: 8.382

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