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Functional interactions between receptors in bacterial chemotaxis

Author

Listed:
  • Victor Sourjik

    (Harvard University
    the Rowland Institute at Harvard
    ZMBH, University of Heidelberg)

  • Howard C. Berg

    (Harvard University
    the Rowland Institute at Harvard)

Abstract

Bacterial chemotaxis is a model system for signal transduction, noted for its relative simplicity, high sensitivity, wide dynamic range and robustness. Changes in ligand concentrations are sensed by a protein assembly consisting of transmembrane receptors, a coupling protein (CheW) and a histidine kinase (CheA)1,2,3,4. In Escherichia coli, these components are organized at the cell poles in tight clusters that contain several thousand copies of each protein1,4,5,6. Here we studied the effects of variation in the composition of clusters on the activity of the kinase and its sensitivity to attractant stimuli, monitoring responses in vivo using fluorescence resonance energy transfer. Our results indicate that assemblies of bacterial chemoreceptors work in a highly cooperative manner, mimicking the behaviour of allosteric proteins. Conditions that favour steep responses to attractants in mutants with homogeneous receptor populations also enhance the sensitivity of the response in wild-type cells. This is consistent with a number of models7,8,9,10,11 that assume long-range cooperative interactions between receptors as a general mechanism for signal integration and amplification.

Suggested Citation

  • Victor Sourjik & Howard C. Berg, 2004. "Functional interactions between receptors in bacterial chemotaxis," Nature, Nature, vol. 428(6981), pages 437-441, March.
    • Handle: RePEc:nat:nature:v:428:y:2004:i:6981:d:10.1038_nature02406
    DOI: 10.1038/nature02406
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    Cited by:

    1. Diana Clausznitzer & Olga Oleksiuk & Linda Løvdok & Victor Sourjik & Robert G Endres, 2010. "Chemotactic Response and Adaptation Dynamics in Escherichia coli," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-11, May.
    2. Junjiajia Long & Steven W Zucker & Thierry Emonet, 2017. "Feedback between motion and sensation provides nonlinear boost in run-and-tumble navigation," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-25, March.
    3. Robert G Endres & Joseph J Falke & Ned S Wingreen, 2007. "Chemotaxis Receptor Complexes: From Signaling to Assembly," PLOS Computational Biology, Public Library of Science, vol. 3(7), pages 1-9, July.
    4. Stephan Eismann & Robert G Endres, 2015. "Protein Connectivity in Chemotaxis Receptor Complexes," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-21, December.
    5. Burton W Andrews & Tau-Mu Yi & Pablo A Iglesias, 2006. "Optimal Noise Filtering in the Chemotactic Response of Escherichia coli," PLOS Computational Biology, Public Library of Science, vol. 2(11), pages 1-12, November.
    6. Diana Clausznitzer & Gabriele Micali & Silke Neumann & Victor Sourjik & Robert G Endres, 2014. "Predicting Chemical Environments of Bacteria from Receptor Signaling," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-14, October.

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