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Fluxes through plant metabolic networks: measurements, predictions, insights and challenges

机译:通过植物代谢网络的助熔剂:测量,预测,见解和挑战

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摘要

Although the flows of material through metabolic networks are central to cell function, they are not easy to measure other than at the level of inputs and outputs. This is particularly true in plant cells, where the network spans multiple subcellular compartments and where the network may function either heterotrophically or photoautotrophically. For many years, kinetic modelling of pathways provided the only method for describing the operation of fragments of the network. However, more recently, it has become possible to map the fluxes in central carbon metabolism using the stable isotope labelling techniques of metabolic flux analysis (MFA), and to predict intracellular fluxes using constraints-based modelling procedures such as flux balance analysis (FBA). These approaches were originally developed for the analysis of microbial metabolism, but over the last decade, they have been adapted for the more demanding analysis of plant metabolic networks. Here, the principal features of MFA and FBA as applied to plants are outlined, followed by a discussion of the insights that have been gained into plant metabolic networks through the application of these time-consuming and non-trivial methods. The discussion focuses on how a system-wide view of plant metabolism has increased our understanding of network structure, metabolic perturbations and the provision of reducing power and energy for cell function. Current methodological challenges that limit the scope of plant MFA are discussed and particular emphasis is placed on the importance of developing methods for cell-specific MFA.
机译:尽管通过代谢网络的材料流是细胞功能的核心,但它们不容易测量除了输入和输出的水平。在植物细胞中,这尤其如此,其中网络跨越多个亚细胞隔室,并且网络可以在异教上或光谱上起作用的地方。多年来,途径的动力学建模提供了描述网络碎片操作的唯一方法。然而,最近,已经使用代谢通量分析(MFA)的稳定同位素标记技术来映射中央碳代谢中的助熔剂,并使用基于约束的建模程序(如通量平衡分析(FBA)预测细胞内通量。这些方法最初是为了分析微生物代谢,但在过去十年中,他们已经适用于对植物代谢网络的苛刻分析。这里,概述了MFA和FBA的主要特征,其应用于工厂,然后通过应用这些耗时和非琐碎的方法讨论了植物代谢网络中获得的见解。讨论侧重于如何为植物新陈代谢进行全系统观点来提高我们对网络结构,代谢扰动以及为细胞功能提供降低功率和能量的理解。讨论了限制植物MFA范围的现有方法挑战,并特别强调培养细胞特异性MFA方法的重要性。

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