Model approaches to advance crassulacean acid metabolism system integration
Model approaches to advance crassulacean acid metabolism system integration
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DOI：
10.1111/tpj.14691
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发表时间：
2020-02-18
期刊：
影响因子：
7.2
通讯作者：
Griffiths, Howard
中科院分区：
文献类型：
--
作者：
Chomthong, Methawi;Griffiths, Howard
本文综述了最近的进展，了解景天科酸代谢（CAM）系统和整合的内部和外部刺激，以最大限度地提高水分利用效率。复杂的CAM性状已被减少到最低限度，并作为计算模型捕获，现在可以使用最近获得的转基因操作和大规模组学研究的数据进行改进。我们确定了三个关键领域，其中一个适当的选择建模工具可以帮助捕获相关的比较分子数据，以解决CAM的进化驱动因素和可塑性。其中一个重点是确定环境和内部的信号，驱动气孔逆开放在夜间。其次，它是重要的是要确定所需的管理过程，精心安排的昼夜模式的碳通量叶肉层。最后，对比多肉植物系统和相关的水力传导组件所施加的限制，应在水的使用和进化策略的背景下进行比较。虽然转录组数据的网络分析可以通过共表达模块和枢纽提供见解，但应迭代使用替代形式的计算建模来定义关键组分的生理意义，并为靶向功能基因操作研究提供信息。我们的结论是，由此产生的自下而上的，机械建模系统的改进，可以提高对捕获的生理控制在面对最近激增的信息，在这个组学时代的遗传多样性CAM系统的进展。
This review summarises recent progress in understanding crassulacean acid metabolism (CAM) systems and the integration of internal and external stimuli to maximise water-use efficiency. Complex CAM traits have been reduced to their minimum and captured as computational models, which can now be refined using recently available data from transgenic manipulations and large-scale omics studies. We identify three key areas in which an appropriate choice of modelling tool could help capture relevant comparative molecular data to address the evolutionary drivers and plasticity of CAM. One focus is to identify the environmental and internal signals that drive inverse stomatal opening at night. Secondly, it is important to identify the regulatory processes required to orchestrate the diel pattern of carbon fluxes within mesophyll layers. Finally, the limitations imposed by contrasting succulent systems and associated hydraulic conductance components should be compared in the context of water-use and evolutionary strategies. While network analysis of transcriptomic data can provide insights via co-expression modules and hubs, alternative forms of computational modelling should be used iteratively to define the physiological significance of key components and informing targeted functional gene manipulation studies. We conclude that the resultant improvements of bottom-up, mechanistic modelling systems can enhance progress towards capturing the physiological controls for phylogenetically diverse CAM systems in the face of the recent surge of information in this omics era.