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A Computational Model for the Cold Response Pathway in Plants

Understanding the mechanism by which plants respond to cold stress and strengthen their tolerance to low temperatures is an important and challenging task in plant sciences. Experiments have established that the first step in the perception and transduction of the cold stress signal consists of a tr...

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Autores principales: Zhang, Ruqiang, Gonze, Didier, Hou, Xilin, You, Xiong, Goldbeter, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674828/
https://www.ncbi.nlm.nih.gov/pubmed/33250782
http://dx.doi.org/10.3389/fphys.2020.591073
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author Zhang, Ruqiang
Gonze, Didier
Hou, Xilin
You, Xiong
Goldbeter, Albert
author_facet Zhang, Ruqiang
Gonze, Didier
Hou, Xilin
You, Xiong
Goldbeter, Albert
author_sort Zhang, Ruqiang
collection PubMed
description Understanding the mechanism by which plants respond to cold stress and strengthen their tolerance to low temperatures is an important and challenging task in plant sciences. Experiments have established that the first step in the perception and transduction of the cold stress signal consists of a transient influx of Ca(2+). This Ca(2+) influx triggers the activation of a cascade of phosphorylation-dephosphorylation reactions that eventually affects the expression of C-repeat-binding factors (CBFs, notably CBF3), which were shown in many plants to control resistance to cold stress by regulating the expression of cold-regulated (COR) genes. Based on experimental observations mostly made on Arabidopsis thaliana, we build a computational model for the cold response pathway in plants, from the transduction of the cold signal via the transient influx of Ca(2+) to the activation of the phosphorylation cascade leading to CBF3 expression. We explore the dynamics of this regulatory network by means of numerical simulations and compare the results with experimental observations on the dynamics of the cold response, both for the wild type and for mutants. The simulations show how, in response to cold stress, a brief Ca(2+) influx, which is over in minutes, is transduced along the successive steps of the network to trigger the expression of cold response genes such as CBF3 within hours. Sometimes, instead of a single Ca(2+) spike the decrease in temperature brings about a train of high-frequency Ca(2+) oscillations. The model is applied to both types of Ca(2+) signaling. We determine the dynamics of the network in response to a series of identical cold stresses, to account for the observation of desensitization and resensitization. The analysis of the model predicts the possibility of an oscillatory expression of CBF3 originating from the negative feedback exerted by ZAT12, a factor itself controlled by CBF3. Finally, we extend the model to incorporate the circadian control of CBF3 expression, to account for the gating of the response to cold stress by the plant circadian clock.
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spelling pubmed-76748282020-11-26 A Computational Model for the Cold Response Pathway in Plants Zhang, Ruqiang Gonze, Didier Hou, Xilin You, Xiong Goldbeter, Albert Front Physiol Physiology Understanding the mechanism by which plants respond to cold stress and strengthen their tolerance to low temperatures is an important and challenging task in plant sciences. Experiments have established that the first step in the perception and transduction of the cold stress signal consists of a transient influx of Ca(2+). This Ca(2+) influx triggers the activation of a cascade of phosphorylation-dephosphorylation reactions that eventually affects the expression of C-repeat-binding factors (CBFs, notably CBF3), which were shown in many plants to control resistance to cold stress by regulating the expression of cold-regulated (COR) genes. Based on experimental observations mostly made on Arabidopsis thaliana, we build a computational model for the cold response pathway in plants, from the transduction of the cold signal via the transient influx of Ca(2+) to the activation of the phosphorylation cascade leading to CBF3 expression. We explore the dynamics of this regulatory network by means of numerical simulations and compare the results with experimental observations on the dynamics of the cold response, both for the wild type and for mutants. The simulations show how, in response to cold stress, a brief Ca(2+) influx, which is over in minutes, is transduced along the successive steps of the network to trigger the expression of cold response genes such as CBF3 within hours. Sometimes, instead of a single Ca(2+) spike the decrease in temperature brings about a train of high-frequency Ca(2+) oscillations. The model is applied to both types of Ca(2+) signaling. We determine the dynamics of the network in response to a series of identical cold stresses, to account for the observation of desensitization and resensitization. The analysis of the model predicts the possibility of an oscillatory expression of CBF3 originating from the negative feedback exerted by ZAT12, a factor itself controlled by CBF3. Finally, we extend the model to incorporate the circadian control of CBF3 expression, to account for the gating of the response to cold stress by the plant circadian clock. Frontiers Media S.A. 2020-11-05 /pmc/articles/PMC7674828/ /pubmed/33250782 http://dx.doi.org/10.3389/fphys.2020.591073 Text en Copyright © 2020 Zhang, Gonze, Hou, You and Goldbeter. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Zhang, Ruqiang
Gonze, Didier
Hou, Xilin
You, Xiong
Goldbeter, Albert
A Computational Model for the Cold Response Pathway in Plants
title A Computational Model for the Cold Response Pathway in Plants
title_full A Computational Model for the Cold Response Pathway in Plants
title_fullStr A Computational Model for the Cold Response Pathway in Plants
title_full_unstemmed A Computational Model for the Cold Response Pathway in Plants
title_short A Computational Model for the Cold Response Pathway in Plants
title_sort computational model for the cold response pathway in plants
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674828/
https://www.ncbi.nlm.nih.gov/pubmed/33250782
http://dx.doi.org/10.3389/fphys.2020.591073
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