代谢网络中摩尔产率的最大化是否受到进化的青睐?
Is maximization of molar yield in metabolic networks favoured by evolution?
作者信息
Schuster Stefan, Pfeiffer Thomas, Fell David A
机构信息
Section of Bioinformatics, Faculty of Biology and Pharmaceutics, Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-07743 Jena, Germany.
出版信息
J Theor Biol. 2008 Jun 7;252(3):497-504. doi: 10.1016/j.jtbi.2007.12.008. Epub 2007 Dec 23.
Stoichiometric analysis of metabolic networks allows the calculation of possible metabolic flux distributions in the absence of kinetic data. In order to predict which of the possible fluxes are present under certain conditions, additional constraints and optimization principles can be applied. One approach of calculating unknown fluxes (frequently called flux balance analysis) is based on the optimality principle of maximizing the molar yield of biotransformations. Here, the relevance and applicability of that approach are examined, and it is compared with the principle of maximizing pathway flux. We discuss diverse experimental evidence showing that, often, those biochemical pathways are operative that allow fast but low-yield synthesis of important products, such as fermentation in Saccharomyces cerevisiae and several other yeast species. Together with arguments based on evolutionary game theory, this leads us to the conclusion that maximization of molar yield is by no means a universal principle.
代谢网络的化学计量分析能够在缺乏动力学数据的情况下计算可能的代谢通量分布。为了预测在特定条件下存在哪些可能的通量,可以应用额外的约束条件和优化原则。一种计算未知通量的方法(通常称为通量平衡分析)基于使生物转化的摩尔产率最大化的最优性原则。在此,我们检验了该方法的相关性和适用性,并将其与使途径通量最大化的原则进行比较。我们讨论了各种实验证据,这些证据表明,通常起作用的是那些能够快速但低产率合成重要产物的生化途径,比如酿酒酵母和其他几种酵母中的发酵过程。结合基于进化博弈论的观点,这使我们得出结论:摩尔产率最大化绝不是一个普遍适用的原则。