Literature DB >> 19455743

Insights into plant metabolic networks from steady-state metabolic flux analysis.

Nicholas J Kruger1, R George Ratcliffe.   

Abstract

Steady-state metabolic flux analysis (MFA) is an experimental approach that allows the measurement of multiple fluxes in the core network of primary carbon metabolism. It is based on isotopic labelling experiments, and although well established in the analysis of micro-organisms, and some mammalian systems, the extension of the method to plant cells has been challenging because of the extensive subcellular compartmentation of the metabolic network. Despite this difficulty there has been substantial progress in developing robust protocols for the analysis of heterotrophic plant metabolism by steady-state MFA, and flux maps have now been published that reflect the metabolic phenotypes of excised root tips, developing embryos and cotyledons, hairy root cultures, and cell suspensions under a variety of physiological conditions. There has been a steady improvement in the quality, extent and statistical reliability of these analyses, and new information is emerging on the performance of the plant metabolic network and the contributions of specific pathways. The principles of steady-state MFA are outlined here, the current status of the technique for characterizing primary metabolism in plants is described, and its complementary relationship to metabolomic analysis based on metabolite composition is discussed. It is argued that there is still considerable scope for further development of the technique, either by implementing refinements that have already been adopted in microbial investigations, or by developing techniques that are particularly relevant to the problems posed by plant tissues. If successful, these developments will lead to a more powerful phenotyping tool that will be faster to implement, and which will provide the basis for fully predictive mechanistic models of the network. This in turn will lead to an improved understanding of the regulation of plant metabolic networks, as well as a firm foundation for rational metabolic engineering.

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Year:  2009        PMID: 19455743     DOI: 10.1016/j.biochi.2009.01.004

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  25 in total

1.  Isotopically nonstationary 13C flux analysis of changes in Arabidopsis thaliana leaf metabolism due to high light acclimation.

Authors:  Fangfang Ma; Lara J Jazmin; Jamey D Young; Doug K Allen
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

2.  On the discordance of metabolomics with proteomics and transcriptomics: coping with increasing complexity in logic, chemistry, and network interactions scientific correspondence.

Authors:  Alisdair R Fernie; Mark Stitt
Journal:  Plant Physiol       Date:  2012-01-17       Impact factor: 8.340

Review 3.  Metabolic networks: how to identify key components in the regulation of metabolism and growth.

Authors:  Mark Stitt; Ronan Sulpice; Joost Keurentjes
Journal:  Plant Physiol       Date:  2009-12-11       Impact factor: 8.340

4.  Towards the creation of a systems tip growth model for a pollen tube.

Authors:  Junli Liu; Patrick Hussey
Journal:  Plant Signal Behav       Date:  2011-04-01

5.  Capturing metabolite channeling in metabolic flux phenotypes.

Authors:  Thomas C R Williams; Lee J Sweetlove; R George Ratcliffe
Journal:  Plant Physiol       Date:  2011-09-06       Impact factor: 8.340

6.  Electron spray ionization mass spectrometry and 2D 31P NMR for monitoring 18O/16O isotope exchange and turnover rates of metabolic oligophosphates.

Authors:  Emirhan Nemutlu; Nenad Juranic; Song Zhang; Lawrence E Ward; Tumpa Dutta; K Sreekumaran Nair; Andre Terzic; Slobodan Macura; Petras P Dzeja
Journal:  Anal Bioanal Chem       Date:  2012-03-18       Impact factor: 4.142

7.  Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources.

Authors:  Audrey Bloem; Stephanie Rollero; Pauline Seguinot; Lucie Crépin; Marc Perez; Christian Picou; Carole Camarasa
Journal:  J Vis Exp       Date:  2018-01-22       Impact factor: 1.355

8.  Subcellular flux analysis of central metabolism in a heterotrophic Arabidopsis cell suspension using steady-state stable isotope labeling.

Authors:  Shyam K Masakapalli; Pascaline Le Lay; Joanna E Huddleston; Naomi L Pollock; Nicholas J Kruger; R George Ratcliffe
Journal:  Plant Physiol       Date:  2009-11-25       Impact factor: 8.340

9.  Carbon and nitrogen provisions alter the metabolic flux in developing soybean embryos.

Authors:  Doug K Allen; Jamey D Young
Journal:  Plant Physiol       Date:  2013-01-11       Impact factor: 8.340

10.  A genome-scale metabolic model of Arabidopsis and some of its properties.

Authors:  Mark G Poolman; Laurent Miguet; Lee J Sweetlove; David A Fell
Journal:  Plant Physiol       Date:  2009-09-15       Impact factor: 8.340

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