Literature DB >> 17524437

Vacuolar compartmentation complicates the steady-state analysis of glucose metabolism and forces reappraisal of sucrose cycling in plants.

Nicholas J Kruger1, Pascaline Le Lay, R George Ratcliffe.   

Abstract

Steady-state stable isotope labelling provides a method for generating flux maps of the compartmented network of central metabolism in heterotrophic plant tissues. Theoretical analysis of the contribution of the vacuole to the regeneration of glucose by endogenous processes shows that numerical fitting of isotopomeric data will only generate an accurate map of the fluxes involving intracellular glucose if information is available on the labelling of both the cytosolic and vacuolar glucose pools. In the absence of this information many of the calculated fluxes are at best unreliable or at worst indeterminate. This result suggests that the anomalously high rates of sucrose cycling and glucose resynthesis that have been reported in earlier steady-state analyses of tissues labelled with (13)C-glucose precursors may be an artefact of assuming that the labelling pattern of extracted glucose reflected the labelling of the cytosolic pool. The analysis emphasises that although subcellular information can sometimes be deduced from a steady-state analysis without recourse to subcellular fractionation, the success of this procedure depends critically on the structure of the metabolic network. It is concluded that methods need to be implemented that will allow measurement of the subcellular labelling pattern of glucose and other metabolites, as part of the routine analysis of the redistribution of label in steady-state stable isotope labelling experiments, if the true potential of network flux analysis for generating metabolic phenotypes is to be realized.

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Year:  2007        PMID: 17524437     DOI: 10.1016/j.phytochem.2007.04.004

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  8 in total

1.  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 2.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

3.  Metabolic network fluxes in heterotrophic Arabidopsis cells: stability of the flux distribution under different oxygenation conditions.

Authors:  Thomas C R Williams; Laurent Miguet; Shyam K Masakapalli; Nicholas J Kruger; Lee J Sweetlove; R George Ratcliffe
Journal:  Plant Physiol       Date:  2008-07-30       Impact factor: 8.340

4.  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

5.  Sustained substrate cycles between hexose phosphates and free sugars in phosphate-deficient potato (Solanum tuberosum) cell cultures.

Authors:  Jiang Zhou He; Sonia Dorion; Mélanie Lacroix; Jean Rivoal
Journal:  Planta       Date:  2019-01-09       Impact factor: 4.116

6.  Metabolic studies in plant organs: don't forget dilution by growth.

Authors:  Michel Génard; Valentina Baldazzi; Yves Gibon
Journal:  Front Plant Sci       Date:  2014-03-11       Impact factor: 5.753

7.  Mathematical modeling reveals that metabolic feedback regulation of SnRK1 and hexokinase is sufficient to control sugar homeostasis from energy depletion to full recovery.

Authors:  Thomas Nägele; Wolfram Weckwerth
Journal:  Front Plant Sci       Date:  2014-07-28       Impact factor: 5.753

Review 8.  Bidirectionality and compartmentation of metabolic fluxes are revealed in the dynamics of isotopomer networks.

Authors:  David W Schryer; Pearu Peterson; Toomas Paalme; Marko Vendelin
Journal:  Int J Mol Sci       Date:  2009-04-17       Impact factor: 6.208

  8 in total

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