Literature DB >> 25631681

Fluxes through plant metabolic networks: measurements, predictions, insights and challenges.

Nicholas J Kruger1, R George Ratcliffe1.   

Abstract

Although the flows of material through metabolic networks are central to cell function, they are not easy to measure other than at the level of inputs and outputs. This is particularly true in plant cells, where the network spans multiple subcellular compartments and where the network may function either heterotrophically or photoautotrophically. For many years, kinetic modelling of pathways provided the only method for describing the operation of fragments of the network. However, more recently, it has become possible to map the fluxes in central carbon metabolism using the stable isotope labelling techniques of metabolic flux analysis (MFA), and to predict intracellular fluxes using constraints-based modelling procedures such as flux balance analysis (FBA). These approaches were originally developed for the analysis of microbial metabolism, but over the last decade, they have been adapted for the more demanding analysis of plant metabolic networks. Here, the principal features of MFA and FBA as applied to plants are outlined, followed by a discussion of the insights that have been gained into plant metabolic networks through the application of these time-consuming and non-trivial methods. The discussion focuses on how a system-wide view of plant metabolism has increased our understanding of network structure, metabolic perturbations and the provision of reducing power and energy for cell function. Current methodological challenges that limit the scope of plant MFA are discussed and particular emphasis is placed on the importance of developing methods for cell-specific MFA.

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Year:  2015        PMID: 25631681     DOI: 10.1042/BJ20140984

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  16 in total

1.  Inference and Prediction of Metabolic Network Fluxes.

Authors:  Zoran Nikoloski; Richard Perez-Storey; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2015-09-21       Impact factor: 8.340

Review 2.  Metabolic network modeling with model organisms.

Authors:  L Safak Yilmaz; Albertha Jm Walhout
Journal:  Curr Opin Chem Biol       Date:  2017-01-12       Impact factor: 8.822

3.  A Genome-Scale Metabolic Model of Soybean (Glycine max) Highlights Metabolic Fluxes in Seedlings.

Authors:  Thiago Batista Moreira; Rahul Shaw; Xinyu Luo; Oishik Ganguly; Hyung-Seok Kim; Lucas Gabriel Ferreira Coelho; Chun Yue Maurice Cheung; Thomas Christopher Rhys Williams
Journal:  Plant Physiol       Date:  2019-06-06       Impact factor: 8.340

4.  Functional centrality as a predictor of shifts in metabolic flux states.

Authors:  Max Sajitz-Hermstein; Zoran Nikoloski
Journal:  BMC Res Notes       Date:  2016-06-21

Review 5.  The best models of metabolism.

Authors:  Eberhard O Voit
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-19

6.  A Method of Accounting for Enzyme Costs in Flux Balance Analysis Reveals Alternative Pathways and Metabolite Stores in an Illuminated Arabidopsis Leaf.

Authors:  C Y Maurice Cheung; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2015-08-11       Impact factor: 8.340

7.  The Contribution of Metabolomics to Systems Biology: Current Applications Bridging Genotype and Phenotype in Plant Science.

Authors:  Marina C M Martins; Valeria Mafra; Carolina C Monte-Bello; Camila Caldana
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

8.  Pool size measurements facilitate the determination of fluxes at branching points in non-stationary metabolic flux analysis: the case of Arabidopsis thaliana.

Authors:  Robert Heise; Alisdair R Fernie; Mark Stitt; Zoran Nikoloski
Journal:  Front Plant Sci       Date:  2015-06-02       Impact factor: 5.753

9.  Cell-Type Specific Metabolic Flux Analysis: A Challenge for Metabolic Phenotyping and a Potential Solution in Plants.

Authors:  Merja T Rossi; Monika Kalde; Chaiyakorn Srisakvarakul; Nicholas J Kruger; R George Ratcliffe
Journal:  Metabolites       Date:  2017-11-13

Review 10.  Decoding Biosynthetic Pathways in Plants by Pulse-Chase Strategies Using (13)CO₂ as a Universal Tracer †.

Authors:  Adelbert Bacher; Fan Chen; Wolfgang Eisenreich
Journal:  Metabolites       Date:  2016-07-14
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