State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China; Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, United States.
Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, United States.
Curr Opin Biotechnol. 2019 Apr;56:187-192. doi: 10.1016/j.copbio.2018.12.003. Epub 2018 Dec 18.
The pathway of monolignol biosynthesis involves many components interacting in a metabolic grid to regulate the supply and ratios of monolignols for lignification. The complexity of the pathway challenges any intuitive prediction of the output without mathematical modeling. Several models have been presented to quantify the metabolic flux for monolignol biosynthesis and the regulation of lignin content, composition, and structure in plant cell walls. Constraint-based models using data from transgenic plants were formulated to describe steady-state flux distribution in the pathway. Kinetic-based models using enzyme reaction and inhibition constants were developed to predict flux dynamics for monolignol biosynthesis in wood-forming cells. This review summarizes the recent progress in flux modeling and its application to lignin engineering for improved plant development and utilization.
木质素生物合成途径涉及许多相互作用的组件,以代谢网格的形式调节木质素生物合成的单体供应和比例。该途径的复杂性使得任何没有数学建模的直观预测都具有挑战性。已经提出了几种模型来量化木质素生物合成的代谢通量以及植物细胞壁中木质素含量、组成和结构的调节。使用转基因植物数据制定了基于约束的模型,以描述途径中的稳态通量分布。使用酶反应和抑制常数的基于动力学的模型被开发出来,以预测木质素形成细胞中单体生物合成的通量动态。本综述总结了通量建模的最新进展及其在木质素工程中的应用,以改善植物的发育和利用。