Maskow Thomas, von Stockar Urs
Department of Environmental Microbiology, UFZ Centre for Environmental Research Leipzig-Halle GmbH, Germany.
Biotechnol Bioeng. 2005 Oct 20;92(2):223-30. doi: 10.1002/bit.20572.
The driving force for organo- or lithotrophic growth as well as for each step in the metabolic network is the Gibbs reaction energy. For each enzymatic step it must be negative. Thermodynamics contributes therefore to the in-silico description of living systems. It may be used for assessing the feasibility of a given pathway because it provides a further constraint for those pathways which are feasible from the point of view of mass balance calculations (metabolic flux analysis) and the genetic potential of an organism. However, when this constraint was applied to lactic acid fermentation according to a method proposed by Mavrovouniotis (1993a, ISMB 93:273-283) it turned out that an unrealistically wide metabolite concentration range had to be assumed to make this well-known glycolytic pathway thermodynamically feasible. During a search for the reasons of this surprising result the insufficient consideration of the activity coefficients was identified as main cause. However, it is shown in the present contribution that the influence of the activity coefficients on Gibbs reaction energy can be easily taken into account based on the intracellular ionic strength. The uncertainty of the tabulated equilibrium constants and of the apparent standard Gibbs energies derived from them was found to be the second most important reason for the erroneous result of the feasibility analysis. Deviations of intracellular pH from the standard value and bad estimations of currency metabolites, e.g., NAD(+) and NADH, were found to be of lesser importance but not negligible. The pH dependency of Gibbs reaction enthalpy was proved to be easily taken into account. Therefore, the application of thermodynamics for a better in-silico prediction of the behavior of living cell factories calls predominantly for better equilibrium data determined under well defined conditions and also for a more detailed knowledge about the intracellular ionic strength and pH value.
有机营养生长或无机营养生长以及代谢网络中每一步的驱动力都是吉布斯反应能。对于每一个酶促步骤,其必须为负。因此,热力学有助于对生命系统进行计算机模拟描述。它可用于评估给定途径的可行性,因为它为那些从质量平衡计算(代谢通量分析)和生物体遗传潜力角度来看可行的途径提供了进一步的限制。然而,当根据Mavrovouniotis(1993a,ISMB 93:273 - 283)提出的方法将此限制应用于乳酸发酵时,结果表明,为了使这条广为人知的糖酵解途径在热力学上可行,必须假定一个不切实际的宽代谢物浓度范围。在寻找这一惊人结果的原因时,发现对活度系数的考虑不足是主要原因。然而,本论文表明,基于细胞内离子强度,可以很容易地考虑活度系数对吉布斯反应能的影响。发现表格化平衡常数及其推导的表观标准吉布斯能的不确定性是可行性分析错误结果的第二重要原因。发现细胞内pH与标准值的偏差以及对诸如NAD(+)和NADH等通用代谢物的错误估计虽然重要性较小但并非可以忽略不计。吉布斯反应焓的pH依赖性被证明很容易考虑。因此,将热力学应用于对活细胞工厂行为进行更好的计算机模拟预测主要需要在明确界定的条件下确定更好的平衡数据,以及对细胞内离子强度和pH值有更详细的了解。