Exploring emergent properties in cellular homeostasis using OnGuard to model K+ and other ion transport in guard cells.

Exploring emergent properties in cellular homeostasis using OnGuard to model K+ and other ion transport in guard cells.
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DOI:
10.1016/j.jplph.2013.09.014
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发表时间:
2014-05-15
影响因子:
4.3
通讯作者:
Hills, Adrian
Hills, Adrian
中科院分区:
生物学3区
文献类型:
--
作者:
Blatt, Michael R.;Wang, Yizhou;Leonhardt, Nathalie;Hills, Adrian

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人们普遍认为,跨真核细胞膜转运的性质和特征是如此复杂,以至于无法直观理解。在这些情况下,定量数学建模是一个必不可少的工具,既要整合个人运输的详细知识,并提取从他们的相互作用出现的属性。作为第一个,完全集成和定量建模环境的离子运输动力学在植物细胞中的研究,OnGuard提供了一个独特的工具,探索离子运输的相互作用,无论是在质膜和保卫细胞液泡膜出现的稳态特性。OnGuard已经产生了足够的细节来指导表型和突变研究,它代表了气孔保卫细胞生理学的“逆向工程”的关键一步,基于合理的设计和模拟测试,以提高水分利用效率和碳同化。它从HoTSig库构建,使软件能够翻译到其他细胞类型,包括生长根毛和花粉。然而,运输固有的问题是具有挑战性的,对于那些不熟悉建模者的概念“心态”的人来说,这些问题更加复杂。在这里,我们列出了使用OnGuard的指导方针,并概述了一种标准化的方法,使用户能够在课堂和实验室中快速推进其应用。我们还强调了OnGuard模型的神秘和紧急属性,以再现保卫细胞的质膜和液泡膜之间的“通信”。
It is widely recognized that the nature and characteristics of transport across eukaryotic membranes are so complex as to defy intuitive understanding. In these circumstances, quantitative mathematical modeling is an essential tool, both to integrate detailed knowledge of individual transporters and to extract the properties emergent from their interactions. As the first, fully integrated and quantitative modeling environment for the study of ion transport dynamics in a plant cell, OnGuard offers a unique tool for exploring homeostatic properties emerging from the interactions of ion transport, both at the plasma membrane and tonoplast in the guard cell. OnGuard has already yielded detail sufficient to guide phenotypic and mutational studies, and it represents a key step toward ‘reverse engineering’ of stomatal guard cell physiology, based on rational design and testing in simulation, to improve water use efficiency and carbon assimilation. Its construction from the HoTSig libraries enables translation of the software to other cell types, including growing root hairs and pollen. The problems inherent to transport are nonetheless challenging, and are compounded for those unfamiliar with conceptual ‘mindset’ of the modeler. Here we set out guidelines for the use of OnGuard and outline a standardized approach that will enable users to advance quickly to its application both in the classroom and laboratory. We also highlight the uncanny and emergent property of OnGuard models to reproduce the ‘communication’ evident between the plasma membrane and tonoplast of the guard cell.
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