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In this Update, we cover the basic principles of the estimation and prediction of the rates of the many interconnected biochemical reactions that constitute plant metabolic networks. This includes metabolic flux analysis approaches that utilize the rates or patterns of redistribution of stable isotopes of carbon and other atoms to estimate fluxes, as well as constraints-based optimization approaches such as flux balance analysis. Some of the major insights that have been gained from analysis of fluxes in plants are discussed, including the functioning of metabolic pathways in a network context, the robustness of the metabolic phenotype, the importance of cell maintenance costs, and the mechanisms that enable energy and redox balancing at steady state. We also discuss methodologies to exploit 'omic data sets for the construction of tissue-specific metabolic network models and to constrain the range of permissible fluxes in such models. Finally, we consider the future directions and challenges faced by the field of metabolic network flux phenotyping.

Original publication

DOI

10.1104/pp.15.01082

Type

Journal article

Journal

Plant Physiol

Publication Date

11/2015

Volume

169

Pages

1443 - 1455

Keywords

Energy Metabolism, Isotope Labeling, Metabolic Flux Analysis, Metabolic Networks and Pathways, Photosynthesis, Plant Proteins, Plants, Signal Transduction