Literature DB >> 12892473

Metabolic control analysis of xylose catabolism in Aspergillus.

W Prathumpai1, J B Gabelgaard, P Wanchanthuek, P J I van de Vondervoort, M J L de Groot, M McIntyre, J Nielsen.   

Abstract

A kinetic model for xylose catabolism in Aspergillus is proposed. From a thermodynamic analysis it was found that the intermediate xylitol will accumulate during xylose catabolism. Use of the kinetic model allowed metabolic control analysis (MCA) of the xylose catabolic pathway to be carried out, and flux control was shown to be dependent on the metabolite levels. Due to thermodynamic constraints, flux control may reside at the first step in the pathway, i.e., at the xylose reductase, even when the intracellular xylitol concentration is high. On the basis of the kinetic analysis, the general dogma specifying that flux control often resides at the step following an intermediate present at high concentrations was, therefore, shown not to hold. The intracellular xylitol concentration was measured in batch cultivations of two different strains of Aspergillus niger and two different strains of Aspergillus nidulans grown on media containing xylose, and a concentration up to 30 mM was found. Applying MCA showed that the first polyol dehydrogenase (XDH) in the catabolic pathway of xylose exerted the main flux control in the two strains of A. nidulans and A. niger NW324, but the flux control was exerted mainly at the first enzyme of the pathway (XR) of A. niger NW 296.

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Year:  2003        PMID: 12892473     DOI: 10.1021/bp034020r

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  3 in total

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Authors:  S A Johnson; S Jackson; V R Abratt; G M Wolfaardt; R Cordero-Otero; S W Nicolson
Journal:  J Comp Physiol B       Date:  2006-05-05       Impact factor: 2.200

2.  Flux Design: In silico design of cell factories based on correlation of pathway fluxes to desired properties.

Authors:  Guido Melzer; Manely Eslahpazir Esfandabadi; Ezequiel Franco-Lara; Christoph Wittmann
Journal:  BMC Syst Biol       Date:  2009-12-25

3.  Improved annotation through genome-scale metabolic modeling of Aspergillus oryzae.

Authors:  Wanwipa Vongsangnak; Peter Olsen; Kim Hansen; Steen Krogsgaard; Jens Nielsen
Journal:  BMC Genomics       Date:  2008-05-23       Impact factor: 3.969

  3 in total

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