Biologisches Institut, Abteilung Botanik, Universität Stuttgart, D-70550 Stuttgart, Germany.
Plant Physiol. 2010 May;153(1):260-72. doi: 10.1104/pp.110.154443. Epub 2010 Mar 5.
A mathematical model representing metabolite interconversions in the central carbohydrate metabolism of Arabidopsis (Arabidopsis thaliana) was developed to simulate the diurnal dynamics of primary carbon metabolism in a photosynthetically active plant leaf. The model groups enzymatic steps of central carbohydrate metabolism into blocks of interconverting reactions that link easily measurable quantities like CO(2) exchange and quasi-steady-state levels of soluble sugars and starch. When metabolite levels that fluctuate over diurnal cycles are used as a basic condition for simulation, turnover rates for the interconverting reactions can be calculated that approximate measured metabolite dynamics and yield kinetic parameters of interconverting reactions. We used experimental data for Arabidopsis wild-type plants, accession Columbia, and a mutant defective in vacuolar invertase, AtbetaFruct4, as input data. Reducing invertase activity to mutant levels in the wild-type model led to a correct prediction of increased sucrose levels. However, additional changes were needed to correctly simulate levels of hexoses and sugar phosphates, indicating that invertase knockout causes subsequent changes in other enzymatic parameters. Reduction of invertase activity caused a decline in photosynthesis and export of reduced carbon to associated metabolic pathways and sink organs (e.g. roots), which is in agreement with the reported contribution of vacuolar invertase to sink strength. According to model parameters, there is a role for invertase in leaves, where futile cycling of sucrose appears to have a buffering effect on the pools of sucrose, hexoses, and sugar phosphates. Our data demonstrate that modeling complex metabolic pathways is a useful tool to study the significance of single enzyme activities in complex, nonintuitive networks.
开发了一个代表拟南芥(Arabidopsis thaliana)中心碳水化合物代谢中代谢物相互转化的数学模型,以模拟光合作用活跃的植物叶片中初级碳代谢的昼夜动态。该模型将中心碳水化合物代谢的酶促步骤分组为相互转化反应的块,这些块将易于测量的量(如 CO2 交换和可溶性糖和淀粉的准稳态水平)联系起来。当作为模拟的基本条件使用随昼夜周期波动的代谢物水平时,可以计算出相互转化反应的周转率,这些周转率近似于测量的代谢物动态,并产生相互转化反应的动力学参数。我们使用拟南芥野生型植物、哥伦比亚品系和液泡转化酶缺陷突变体 AtbetaFruct4 的实验数据作为输入数据。将野生型模型中的转化酶活性降低到突变体水平导致蔗糖水平的正确预测增加。然而,需要进行额外的更改才能正确模拟己糖和糖磷酸的水平,这表明转化酶敲除会导致其他酶学参数的后续变化。降低转化酶活性会导致光合作用下降以及还原碳向相关代谢途径和汇器官(例如根)的输出减少,这与液泡转化酶对汇强度的贡献一致。根据模型参数,转化酶在叶片中具有一定的作用,其中蔗糖的无效循环似乎对蔗糖、己糖和糖磷酸的池具有缓冲作用。我们的数据表明,对复杂代谢途径进行建模是研究单个酶活性在复杂、非直观网络中的重要性的有用工具。