Chassagnole C, Fell D A, Raïs B, Kudla B, Mazat J P
INSERM EMI 9929, University Victor Segalen Bordeaux 2, 146 rue Léo Saignat, 33076 Bordeaux, France.
Biochem J. 2001 Jun 1;356(Pt 2):433-44. doi: 10.1042/0264-6021:3560433.
A computer simulation of the threonine-synthesis pathway in Escherichia coli Tir-8 has been developed based on our previous measurements of the kinetics of the pathway enzymes under near-physiological conditions. The model successfully simulates the main features of the time courses of threonine synthesis previously observed in a cell-free extract without alteration of the experimentally determined parameters, although improved quantitative fits can be obtained with small parameter adjustments. At the concentrations of enzymes, precursors and products present in cells, the model predicts a threonine-synthesis flux close to that required to support cell growth. Furthermore, the first two enzymes operate close to equilibrium, providing an example of a near-equilibrium feedback-inhibited enzyme. The predicted flux control coefficients of the pathway enzymes under physiological conditions show that the control of flux is shared between the first three enzymes: aspartate kinase, aspartate semialdehyde dehydrogenase and homoserine dehydrogenase, with no single activity dominating the control. The response of the model to the external metabolites shows that the sharing of control between the three enzymes holds across a wide range of conditions, but that the pathway flux is sensitive to the aspartate concentration. When the model was embedded in a larger model to simulate the variable demands for threonine at different growth rates, it showed the accumulation of free threonine that is typical of the Tir-8 strain at low growth rates. At low growth rates, the control of threonine flux remains largely with the pathway enzymes. As an example of the predictive power of the model, we studied the consequences of over-expressing different enzymes in the pathway.
基于我们之前在近生理条件下对大肠杆菌Tir-8中苏氨酸合成途径中各酶动力学的测量结果,已开发出该途径的计算机模拟模型。该模型成功模拟了先前在无细胞提取物中观察到的苏氨酸合成时间进程的主要特征,且无需改变实验确定的参数,不过通过对参数进行小幅度调整可获得更好的定量拟合。在细胞中存在的酶、前体和产物浓度下,该模型预测的苏氨酸合成通量接近支持细胞生长所需的通量。此外,前两种酶的运作接近平衡状态,这为一种接近平衡的反馈抑制酶提供了一个实例。在生理条件下预测的该途径各酶的通量控制系数表明,通量控制由前三种酶共同承担:天冬氨酸激酶、天冬氨酸半醛脱氢酶和高丝氨酸脱氢酶,没有单一活性在控制中占主导地位。该模型对外源代谢物的响应表明,这三种酶之间的控制分担在广泛的条件下都成立,但该途径的通量对天冬氨酸浓度敏感。当将该模型嵌入一个更大的模型以模拟不同生长速率下对苏氨酸的可变需求时,它显示出在低生长速率下Tir-8菌株典型的游离苏氨酸积累。在低生长速率下,苏氨酸通量的控制在很大程度上仍由该途径的酶承担。作为该模型预测能力的一个例子,我们研究了在该途径中过表达不同酶的后果。