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

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+ -sensin...

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Main Authors: Satyajit D Rao, Oleg A Igoshin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008130
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spelling doaj-73f59b1e787d49b6a662bf408874ac582021-05-21T04:32:53ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-01-01171e100813010.1371/journal.pcbi.1008130Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.Satyajit D RaoOleg A IgoshinBacteria 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.https://doi.org/10.1371/journal.pcbi.1008130
collection DOAJ
language English
format Article
sources DOAJ
author Satyajit D Rao
Oleg A Igoshin
spellingShingle Satyajit D Rao
Oleg A Igoshin
Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
PLoS Computational Biology
author_facet Satyajit D Rao
Oleg A Igoshin
author_sort Satyajit D Rao
title Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
title_short Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
title_full Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
title_fullStr Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
title_full_unstemmed Overlaid positive and negative feedback loops shape dynamical properties of PhoPQ two-component system.
title_sort overlaid positive and negative feedback loops shape dynamical properties of phopq two-component system.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2021-01-01
description 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.
url https://doi.org/10.1371/journal.pcbi.1008130
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