DFG Research Center Matheon, Freie Universität Berlin, Arnimallee 6, D-14195 Berlin, Germany.
Metab Eng. 2012 Jul;14(4):458-67. doi: 10.1016/j.ymben.2012.01.009. Epub 2012 Feb 10.
Metabolic pathway analysis aims at discovering and analyzing meaningful routes and their interactions in metabolic networks. A major difficulty in applying this technique lies in the decomposition of metabolic flux distributions into elementary mode or extreme pathway activity patterns, which in general is not unique. We propose a network reduction approach based on the decomposition of a set of flux vectors representing adaptive microbial metabolic behavior in bioreactors into a minimal set of shared pathways. Several optimality criteria from the literature were compared in order to select the most appropriate objective function. We further analyze photoautotrophic metabolism of the green alga Chlamydomonas reinhardtii growing in a photobioreactor under maximal growth rate conditions. Key pathways involved in its adaptive metabolic response to changes in light influx are identified and discussed using an energetic approach.
代谢途径分析旨在发现和分析代谢网络中具有意义的途径及其相互作用。应用该技术的一个主要难点在于将代谢通量分布分解为基本模式或极端途径活性模式，而这种分解通常不是唯一的。我们提出了一种基于将一组表示生物反应器中适应性微生物代谢行为的通量向量分解为最小共享途径集的网络简化方法。比较了文献中的几种最优性准则，以选择最合适的目标函数。我们进一步分析了在最大生长速率条件下在光生物反应器中生长的绿藻莱茵衣藻的光自养代谢。使用能量方法识别并讨论了参与其对光通量变化的适应性代谢反应的关键途径。
