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预测气孔气体交换中的意外情况:并非一目了然。

Predicting the unexpected in stomatal gas exchange: not just an open-and-shut case.

机构信息

Laboratory of Plant Physiology and Biophysics, University of Glasgow, Bower Building, Glasgow G12 8QQ, U.K.

出版信息

Biochem Soc Trans. 2020 Jun 30;48(3):881-889. doi: 10.1042/BST20190632.

DOI:10.1042/BST20190632
PMID:32453378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7329339/
Abstract

Plant membrane transport, like transport across all eukaryotic membranes, is highly non-linear and leads to interactions with characteristics so complex that they defy intuitive understanding. The physiological behaviour of stomatal guard cells is a case in point in which, for example, mutations expected to influence stomatal closing have profound effects on stomatal opening and manipulating transport across the vacuolar membrane affects the plasma membrane. Quantitative mathematical modelling is an essential tool in these circumstances, both to integrate the knowledge of each transport process and to understand the consequences of their manipulation in vivo. Here, we outline the OnGuard modelling environment and its use as a guide to predicting the emergent properties arising from the interactions between non-linear transport processes. We summarise some of the recent insights arising from OnGuard, demonstrate its utility in interpreting stomatal behaviour, and suggest ways in which the OnGuard environment may facilitate 'reverse-engineering' of stomata to improve water use efficiency and carbon assimilation.

摘要

植物膜转运,就像所有真核生物膜的转运一样,具有高度的非线性,并导致与特征的相互作用,这些特征非常复杂,以至于难以直观理解。气孔保卫细胞的生理行为就是一个很好的例子,例如,预计会影响气孔关闭的突变对气孔开放有深远的影响,并且操纵液泡膜上的转运会影响质膜。在这种情况下,定量数学建模是一种必不可少的工具,不仅可以整合每个转运过程的知识,还可以了解其在体内操作的后果。在这里,我们概述了 OnGuard 建模环境及其作为预测非线性转运过程相互作用产生的新兴特性的指南的用途。我们总结了一些最近由 OnGuard 产生的新见解,展示了它在解释气孔行为方面的实用性,并提出了 OnGuard 环境可能有助于“逆向工程”气孔以提高水利用效率和碳同化的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4519/7329339/5918d7e84245/BST-48-881-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4519/7329339/5918d7e84245/BST-48-881-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4519/7329339/5918d7e84245/BST-48-881-g0001.jpg

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引用本文的文献

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Quant Plant Biol. 2022 Jun 13;3:e12. doi: 10.1017/qpb.2022.8. eCollection 2022.

本文引用的文献

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Plant Physiol. 2020 Apr;182(4):1833-1835. doi: 10.1104/pp.19.01485. Epub 2020 Jan 27.
2
How do stomata respond to water status?气孔如何响应水分状况?
New Phytol. 2019 Oct;224(1):21-36. doi: 10.1111/nph.15899. Epub 2019 Jun 11.
3
A constraint-relaxation-recovery mechanism for stomatal dynamics.一种用于气孔动力学的约束松弛恢复机制。
Plant Cell Environ. 2019 Aug;42(8):2399-2410. doi: 10.1111/pce.13568. Epub 2019 May 26.
4
Optogenetic manipulation of stomatal kinetics improves carbon assimilation, water use, and growth.光遗传学调控气孔动力学可提高碳同化、水分利用和生长。
Science. 2019 Mar 29;363(6434):1456-1459. doi: 10.1126/science.aaw0046.
5
Unexpected Connections between Humidity and Ion Transport Discovered Using a Model to Bridge Guard Cell-to-Leaf Scales.利用模型在保卫细胞到叶片尺度之间架起桥梁,发现湿度与离子传输之间意想不到的联系。
Plant Cell. 2017 Nov;29(11):2921-2939. doi: 10.1105/tpc.17.00694. Epub 2017 Nov 1.
6
Global Sensitivity Analysis of OnGuard Models Identifies Key Hubs for Transport Interaction in Stomatal Dynamics.OnGuard模型的全局敏感性分析确定了气孔动力学中传输相互作用的关键枢纽。
Plant Physiol. 2017 Jun;174(2):680-688. doi: 10.1104/pp.17.00170. Epub 2017 Apr 21.
7
The Membrane Transport System of the Guard Cell and Its Integration for Stomatal Dynamics.保卫细胞的膜运输系统及其在气孔动态中的整合
Plant Physiol. 2017 Jun;174(2):487-519. doi: 10.1104/pp.16.01949. Epub 2017 Apr 13.
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An Integrated Hydraulic-Hormonal Model of Conifer Stomata Predicts Water Stress Dynamics.集成水力-激素模型预测针叶树气孔对水胁迫的动态响应。
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Rethinking Guard Cell Metabolism.重新审视保卫细胞代谢
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