Thomas S, Mooney P J, Burrell M M, Fell D A
School of Biological and Molecular Sciences, Oxford Brookes University, U.K.
Biochem J. 1997 Feb 15;322 ( Pt 1)(Pt 1):119-27. doi: 10.1042/bj3220119.
We have applied Metabolic Control Analysis (MCA) in an attempt to determine the distribution of glycolytic flux control between the steps of glycolysis in aged disks of potato tuber under aerobic conditions, using concentrations of glycolytic metabolites in tuber tissue from a range of transgenic potato plants and published enzyme kinetic data. We modelled the substrate and effector kinetics of potato tuber phosphofructokinase (PFK) by reanalysing published results. Despite the scarcity of reliable kinetic data, our results are in agreement with experimental findings namely that, under the conditions described, PFK has little control over glycolytic flux. Furthermore our analysis predicts that under these conditions far more control lies in the dephosphorylation of phosphoenolpyruvate and/or in the steps beyond. We have validated the results of our analysis in two ways. First, predictions based on calculated concentration control coefficients from the analysis show generally good agreement with observed metabolite deviation indices discussed in the preceding paper [Thomas, Mooney, Burrell, and Fell (1997) Biochem. J. 322, 111-117]. Second, sensitivity analysis of our results shows that the calculated control coefficients are robust to errors in the elasticities used in the analysis, of which relatively few need to be known accurately. Experimental and control analysis results agree with previous predictions of MCA that strong co-operative feedback inhibition of enzymes serves to move flux control downstream of the inhibiting metabolite. We conclude that MCA can successfully model the outcome of experiments in the genetic manipulation of enzyme amounts.
我们应用代谢控制分析(MCA),试图利用一系列转基因马铃薯植株块茎组织中糖酵解代谢物的浓度以及已发表的酶动力学数据,来确定有氧条件下老龄马铃薯块茎糖酵解过程中各步骤间糖酵解通量控制的分布情况。我们通过重新分析已发表的结果,对马铃薯块茎磷酸果糖激酶(PFK)的底物和效应物动力学进行了建模。尽管可靠的动力学数据匮乏,但我们的结果与实验发现一致,即在所述条件下,PFK对糖酵解通量的控制作用很小。此外,我们的分析预测,在这些条件下,更多的控制在于磷酸烯醇丙酮酸的去磷酸化和/或后续步骤。我们通过两种方式验证了分析结果。第一,基于分析中计算出的浓度控制系数所做的预测,总体上与前文[托马斯、穆尼、伯勒尔和费尔(1997年)《生物化学杂志》322卷,111 - 117页]中讨论的观察到的代谢物偏差指数吻合良好。第二,对我们结果的敏感性分析表明,计算出的控制系数对于分析中所使用弹性系数的误差具有鲁棒性,其中只有相对较少的弹性系数需要精确知晓。实验和控制分析结果与MCA先前的预测一致,即酶的强协同反馈抑制作用会使通量控制转移到抑制性代谢物的下游。我们得出结论,MCA能够成功地对酶量基因操作实验的结果进行建模。