Predicting the Physiological Role of Circadian Metabolic Regulation in the Green Alga Chlamydomonas reinhardtii

Although the number of reconstructed metabolic networks is steadily growing, experimental data integration into these networks is still challenging. Based on elementary flux mode analysis, we combine sequence information with metabolic pathway analysis and include, as a novel aspect, circadian regulation. While minimizing the need of assumptions, we are able to predict changes in the metabolic state and can hypothesise on the physiological role of circadian control in nitrogen metabolism of the green alga Chlamydomonas reinhardtii.尽管已重构的代谢网络（metabolic networks）数量稳步增长，但将实验数据整合至此类网络的工作仍颇具挑战。本研究基于初等通量模式分析（elementary flux mode analysis），将序列信息与代谢通路分析（metabolic pathway analysis）相结合，并将昼夜节律调控（circadian regulation）作为全新研究维度纳入其中。在最大程度缩减假设前提的前提下，我们能够预测代谢状态的变化，并可针对绿藻莱茵衣藻（Chlamydomonas reinhardtii）氮代谢中昼夜节律调控的生理功能提出假说。