Literature DB >> 33395414

Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.

Satyajit D Rao1, Oleg A Igoshin1,2.   

Abstract

Bacteria use two-component systems (TCSs) to sense environmental conditions and change gene expression in response to those conditions. To amplify cellular responses, many bacterial TCSs are under positive feedback control, i.e. increase their expression when activated. Escherichia coli Mg2+ -sensing TCS, PhoPQ, in addition to the positive feedback, includes a negative feedback loop via the upregulation of the MgrB protein that inhibits PhoQ. How the interplay of these feedback loops shapes steady-state and dynamical responses of PhoPQ TCS to change in Mg2+ remains poorly understood. In particular, how the presence of MgrB feedback affects the robustness of PhoPQ response to overexpression of TCS is unclear. It is also unclear why the steady-state response to decreasing Mg2+ is biphasic, i.e. plateaus over a range of Mg2+ concentrations, and then increases again at growth-limiting Mg2+. In this study, we use mathematical modeling to identify potential mechanisms behind these experimentally observed dynamical properties. The results make experimentally testable predictions for the regime with response robustness and propose a novel explanation of biphasic response constraining the mechanisms for modulation of PhoQ activity by Mg2+ and MgrB. Finally, we show how the interplay of positive and negative feedback loops affects the network's steady-state sensitivity and response dynamics. In the absence of MgrB feedback, the model predicts oscillations thereby suggesting a general mechanism of oscillatory or pulsatile dynamics in autoregulated TCSs. These results improve the understanding of TCS signaling and other networks with overlaid positive and negative feedback.

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Year:  2021        PMID: 33395414      PMCID: PMC7808668          DOI: 10.1371/journal.pcbi.1008130

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  32 in total

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Authors:  Lynne R Prost; Samuel I Miller
Journal:  Cell Microbiol       Date:  2008-01-03       Impact factor: 3.715

Review 2.  Evolution and phyletic distribution of two-component signal transduction systems.

Authors:  Kristin Wuichet; Brian J Cantwell; Igor B Zhulin
Journal:  Curr Opin Microbiol       Date:  2010-02-03       Impact factor: 7.934

3.  Stimulus-dependent differential regulation in the Escherichia coli PhoQ PhoP system.

Authors:  Tim Miyashiro; Mark Goulian
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-01       Impact factor: 11.205

4.  Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system.

Authors:  Eric Batchelor; Mark Goulian
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-09       Impact factor: 11.205

5.  Speed, sensitivity, and bistability in auto-activating signaling circuits.

Authors:  Rutger Hermsen; David W Erickson; Terence Hwa
Journal:  PLoS Comput Biol       Date:  2011-11-17       Impact factor: 4.475

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8.  Phosphatase activity tunes two-component system sensor detection threshold.

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Journal:  Nat Commun       Date:  2018-04-12       Impact factor: 14.919

9.  Feedback inhibition in the PhoQ/PhoP signaling system by a membrane peptide.

Authors:  Andrew M Lippa; Mark Goulian
Journal:  PLoS Genet       Date:  2009-12-24       Impact factor: 5.917

10.  Overcoming the Cost of Positive Autoregulation by Accelerating the Response with a Coupled Negative Feedback.

Authors:  Rong Gao; Ann M Stock
Journal:  Cell Rep       Date:  2018-09-11       Impact factor: 9.423

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