Rao Xiaolan, Barros Jaime
State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China.
Division of Plant Sciences and Interdisciplinary Plant Group, University of Missouri, Columbia, MO 65211, USA.
Trends Plant Sci. 2024 May;29(5):546-559. doi: 10.1016/j.tplants.2023.09.011. Epub 2023 Oct 4.
Plant biomass contains lignin that can be converted into high-value-added chemicals, fuels, and materials. The precise genetic manipulation of lignin content and composition in plant cells offers substantial environmental and economic benefits. However, the intricate regulatory mechanisms governing lignin formation challenge the development of crops with specific lignin profiles. Mathematical models and computational simulations have recently been employed to gain fundamental understanding of the metabolism of lignin and related phenolic compounds. This review article discusses the strategies used for modeling plant metabolic networks, focusing on the application of mathematical modeling for flux network analysis in monolignol biosynthesis. Furthermore, we highlight how current challenges might be overcome to optimize the use of metabolic modeling approaches for developing lignin-engineered plants.
植物生物质含有木质素，可将其转化为高附加值的化学品、燃料和材料。对植物细胞中木质素含量和组成进行精确的基因操作具有重大的环境和经济效益。然而，控制木质素形成的复杂调控机制给培育具有特定木质素特征的作物带来了挑战。最近，数学模型和计算模拟已被用于深入了解木质素和相关酚类化合物的代谢。本文综述了用于植物代谢网络建模的策略，重点讨论了数学建模在单木质醇生物合成通量网络分析中的应用。此外，我们强调了如何克服当前的挑战，以优化代谢建模方法在培育木质素工程植物中的应用。
