Literature DB >> 21076396

Interdependence of behavioural variability and response to small stimuli in bacteria.

Heungwon Park1, William Pontius, Calin C Guet, John F Marko, Thierry Emonet, Philippe Cluzel.   

Abstract

The chemotaxis signalling network in Escherichia coli that controls the locomotion of bacteria is a classic model system for signal transduction. This pathway modulates the behaviour of flagellar motors to propel bacteria towards sources of chemical attractants. Although this system relaxes to a steady state in response to environmental changes, the signalling events within the chemotaxis network are noisy and cause large temporal variations of the motor behaviour even in the absence of stimulus. That the same signalling network governs both behavioural variability and cellular response raises the question of whether these two traits are independent. Here, we experimentally establish a fluctuation-response relationship in the chemotaxis system of living bacteria. Using this relationship, we demonstrate the possibility of inferring the cellular response from the behavioural variability measured before stimulus. In monitoring the pre- and post-stimulus switching behaviour of individual bacterial motors, we found that variability scales linearly with the response time for different functioning states of the cell. This study highlights that the fundamental relationship between fluctuation and response is not constrained to physical systems at thermodynamic equilibrium but is extensible to living cells. Such a relationship not only implies that behavioural variability and cellular response can be coupled traits, but it also provides a general framework within which we can examine how the selection of a network design shapes this interdependence.

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Year:  2010        PMID: 21076396      PMCID: PMC3230254          DOI: 10.1038/nature09551

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  29 in total

Review 1.  Grabbing the cat by the tail: manipulating molecules one by one.

Authors:  C Bustamante; J C Macosko; G J Wuite
Journal:  Nat Rev Mol Cell Biol       Date:  2000-11       Impact factor: 94.444

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

Review 3.  Molecular information processing: lessons from bacterial chemotaxis.

Authors:  Robert B Bourret; Ann M Stock
Journal:  J Biol Chem       Date:  2002-01-04       Impact factor: 5.157

4.  Receptor sensitivity in bacterial chemotaxis.

Authors:  Victor Sourjik; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

5.  Regulation of noise in the expression of a single gene.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Iren Kurtser; Alan D Grossman; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

6.  Nonrenewal statistics of electrosensory afferent spike trains: implications for the detection of weak sensory signals.

Authors:  R Ratnam; M E Nelson
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

7.  Structural sources of robustness in biochemical reaction networks.

Authors:  Guy Shinar; Martin Feinberg
Journal:  Science       Date:  2010-03-12       Impact factor: 47.728

8.  Robustness in simple biochemical networks.

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

9.  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

10.  Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements.

Authors:  R Lutz; H Bujard
Journal:  Nucleic Acids Res       Date:  1997-03-15       Impact factor: 16.971

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  31 in total

Review 1.  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

2.  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

3.  Noise underlies switching behavior of the bacterial flagellum.

Authors:  Heungwon Park; Panos Oikonomou; Calin C Guet; Philippe Cluzel
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

4.  Noninvasive inference of the molecular chemotactic response using bacterial trajectories.

Authors:  Jean-Baptiste Masson; Guillaume Voisinne; Jerome Wong-Ng; Antonio Celani; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

5.  Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria.

Authors:  Michael W Sneddon; William Pontius; Thierry Emonet
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

6.  Reductionistic and holistic science.

Authors:  Ferric C Fang; Arturo Casadevall
Journal:  Infect Immun       Date:  2011-02-14       Impact factor: 3.441

7.  Switching dynamics of the bacterial flagellar motor near zero load.

Authors:  Fangbin Wang; Junhua Yuan; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-20       Impact factor: 11.205

8.  Recent advances and future prospects in bacterial and archaeal locomotion and signal transduction.

Authors:  Sonia L Bardy; Ariane Briegel; Simon Rainville; Tino Krell
Journal:  J Bacteriol       Date:  2017-05-08       Impact factor: 3.490

9.  Cellular noise regulons underlie fluctuations in Saccharomyces cerevisiae.

Authors:  Jacob Stewart-Ornstein; Jonathan S Weissman; Hana El-Samad
Journal:  Mol Cell       Date:  2012-02-24       Impact factor: 17.970

10.  Noise-Induced Increase of Sensitivity in Bacterial Chemotaxis.

Authors:  Rui He; Rongjing Zhang; Junhua Yuan
Journal:  Biophys J       Date:  2016-07-26       Impact factor: 4.033

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