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    Adaptable functionality of transcriptional feedback in bacterial two-component systems

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    RayC_PLoSCB_6(8)e1000676.pdf (923.3Kb)
    Issue Date
    2010-02-12
    Author
    Ray, J. Christian J.
    Igoshin, Oleg A.
    Publisher
    Public Library of Science
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Metadata
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    Abstract
    A widespread mechanism of bacterial signaling occurs through two-component systems, comprised of a sensor histidine kinase (SHK) and a transcriptional response regulator (RR). The SHK activates RR by phosphorylation. The most common two-component system structure involves expression from a single operon, the transcription of which is activated by its own phosphorylated RR. The role of this feedback is poorly understood, but it has been associated with an overshooting kinetic response and with fast recovery of previous interrupted signaling events in different systems. Mathematical models show that overshoot is only attainable with negative feedback that also improves response time. Our models also predict that fast recovery of previous interrupted signaling depends on high accumulation of SHK and RR, which is more likely in a positive feedback regime. We use Monte Carlo sampling of the parameter space to explore the range of attainable model behaviors. The model predicts that the effective feedback sign can change from negative to positive depending on the signal level. Variations in two-component system architectures and parameters may therefore have evolved to optimize responses in different bacterial lifestyles. We propose a conceptual model where low signal conditions result in a responsive system with effectively negative feedback while high signal conditions with positive feedback favor persistence of system output.
    Description
    This is the publisher's version, also available electronically from "http://journals.plos.org".
    URI
    http://hdl.handle.net/1808/17563
    DOI
    https://doi.org/10.1371/journal.pcbi.1000676
    Collections
    • Molecular Biosciences Scholarly Works [537]
    Citation
    Ray, J., Igoshin, O., & Goulian, M. (2010). Adaptable Functionality of Transcriptional Feedback in Bacterial Two-Component Systems. PLoS Computational Biology, 6(2), E1000676-E1000676. http://www.dx.doi.org/10.1371/journal.pcbi.1000676

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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