Central Metabolism Research Group, Max-Planck-Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
Plant Cell. 2013 Feb;25(2):694-714. doi: 10.1105/tpc.112.106989. Epub 2013 Feb 26.
Photosynthesis is the basis for life, and its optimization is a key biotechnological aim given the problems of population explosion and environmental deterioration. We describe a method to resolve intracellular fluxes in intact Arabidopsis thaliana rosettes based on time-dependent labeling patterns in the metabolome. Plants photosynthesizing under limiting irradiance and ambient CO2 in a custom-built chamber were transferred into a (13)CO2-enriched environment. The isotope labeling patterns of 40 metabolites were obtained using liquid or gas chromatography coupled to mass spectrometry. Labeling kinetics revealed striking differences between metabolites. At a qualitative level, they matched expectations in terms of pathway topology and stoichiometry, but some unexpected features point to the complexity of subcellular and cellular compartmentation. To achieve quantitative insights, the data set was used for estimating fluxes in the framework of kinetic flux profiling. We benchmarked flux estimates to four classically determined flux signatures of photosynthesis and assessed the robustness of the estimates with respect to different features of the underlying metabolic model and the time-resolved data set.
光合作用是生命的基础,鉴于人口爆炸和环境恶化等问题,优化光合作用是生物技术的一个关键目标。我们描述了一种基于代谢组中时间依赖性标记模式来解析完整拟南芥莲座叶中细胞内通量的方法。在定制的室中,在限制光照和环境 CO2 下进行光合作用的植物被转移到(13)CO2 富集环境中。使用液体或气相色谱法与质谱法联用,获得了 40 种代谢物的同位素标记模式。标记动力学揭示了代谢物之间的显著差异。在定性水平上,它们在途径拓扑结构和化学计量方面与预期相符,但一些意想不到的特征表明了亚细胞和细胞区室化的复杂性。为了获得定量见解,该数据集用于在动力学通量分析框架中估计通量。我们将通量估计值与光合作用的四个经典通量特征进行了基准测试,并评估了在不同的基础代谢模型和时间分辨数据集特征下,估计值的稳健性。