Mathematical modeling of plant metabolism enables the plant science community to understand the organization of plant metabolism, obtain quantitative insights into metabolic functions, and derive engineering strategies for manipulation of metabolism. Among the various modeling approaches, metabolic pathway analysis can dissect the basic functional modes of subsections of core metabolism, such as photorespiration, and reveal how classical definitions of metabolic pathways have overlapping functionality. In the many studies using constraint-based modeling in plants, numerous computational tools are currently available to analyze large-scale and genome-scale metabolic networks. For 13C-metabolic flux analysis, principles of isotopic steady state have been used to study heterotrophic plant tissues, while nonstationary isotope labeling approaches are amenable to the study of photoautotrophic and secondary metabolism. Enzyme kinetic models explore pathways in mechanistic detail, and we discuss different approaches to determine or estimate kinetic parameters. In this review, we describe recent advances and challenges in modeling plant metabolism. Expected final online publication date for the Annual Review of Plant Biology, Volume 71 is April 29, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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植物代谢建模：从网络重建到机理模型

植物代谢的数学建模使植物科学界能够了解植物代谢的组织，获得对代谢功能的定量见解，并推导出用于操纵代谢的工程策略。在各种建模方法中，代谢途径分析可以剖析核心代谢子部分的基本功能模式，例如光呼吸，并揭示代谢途径的经典定义如何具有重叠功能。在植物中使用基于约束的建模的许多研究中，目前有许多计算工具可用于分析大规模和基因组规模的代谢网络。对于 13C 代谢通量分析，同位素稳态原理已用于研究异养植物组织，而非平稳同位素标记方法适用于光合自养和次生代谢的研究。酶动力学模型探索机械细节的途径，我们讨论了确定或估计动力学参数的不同方法。在这篇综述中，我们描述了植物代谢建模的最新进展和挑战。《植物生物学年度评论》第 71 卷的预计最终在线出版日期为 2020 年 4 月 29 日。请参阅 http://www.annualreviews.org/page/journal/pubdates 了解修订后的估计值。