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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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 |
work_keys_str_mv |
AT satyajitdrao overlaidpositiveandnegativefeedbackloopsshapedynamicalpropertiesofphopqtwocomponentsystem AT olegaigoshin overlaidpositiveandnegativefeedbackloopsshapedynamicalpropertiesofphopqtwocomponentsystem |
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