AEM
Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowReprints and Permissions
Right arrow Copyright Information
Right arrow Books from ASM Press
Right arrow MicrobeWorld
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Cronwright, G. R.
Right arrow Articles by Prior, B. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cronwright, G. R.
Right arrow Articles by Prior, B. A.
Agricola
Right arrow Articles by Cronwright, G. R.
Right arrow Articles by Prior, B. A.

 Previous Article  |  Next Article 

Applied and Environmental Microbiology, September 2002, p. 4448-4456, Vol. 68, No. 9
0099-2240/02/$04.00+0     DOI: 10.1128/AEM.68.9.4448-4456.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.

Metabolic Control Analysis of Glycerol Synthesis in Saccharomyces cerevisiae

Garth R. Cronwright,1* Johann M. Rohwer,2 and Bernard A. Prior1

Department of Microbiology,1 Department of Biochemistry, Stellenbosch University, Matieland 7602, South Africa2

Received 8 February 2002/ Accepted 20 June 2002

Glycerol, a major by-product of ethanol fermentation by Saccharomyces cerevisiae, is of significant importance to the wine, beer, and ethanol production industries. To gain a clearer understanding of and to quantify the extent to which parameters of the pathway affect glycerol flux in S. cerevisiae, a kinetic model of the glycerol synthesis pathway has been constructed. Kinetic parameters were collected from published values. Maximal enzyme activities and intracellular effector concentrations were determined experimentally. The model was validated by comparing experimental results on the rate of glycerol production to the rate calculated by the model. Values calculated by the model agreed well with those measured in independent experiments. The model also mimics the changes in the rate of glycerol synthesis at different phases of growth. Metabolic control analysis values calculated by the model indicate that the NAD+-dependent glycerol 3-phosphate dehydrogenase-catalyzed reaction has a flux control coefficient (Cv1J) of approximately 0.85 and exercises the majority of the control of flux through the pathway. Response coefficients of parameter metabolites indicate that flux through the pathway is most responsive to dihydroxyacetone phosphate concentration (RDHAPJ = 0.48 to 0.69), followed by ATP concentration (RATPJ = -0.21 to -0.50). Interestingly, the pathway responds weakly to NADH concentration (RNADHJ = 0.03 to 0.08). The model indicates that the best strategy to increase flux through the pathway is not to increase enzyme activity, substrate concentration, or coenzyme concentration alone but to increase all of these parameters in conjunction with each other.


* Corresponding author. Present address: Department of Applied Microbiology, Lund University, P.O. Box 124, SE-221 00, Lund, Sweden. Phone: 46 46 222 8325. Fax: 46 46 222 4203. E-mail: garth.cronwright{at}tmb.lth.se.


Applied and Environmental Microbiology, September 2002, p. 4448-4456, Vol. 68, No. 9
0099-2240/02/$04.00+0     DOI: 10.1128/AEM.68.9.4448-4456.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.




This article has been cited by other articles:




Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
J. Bacteriol. Microbiol. Mol. Biol. Rev. Eukaryot. Cell All ASM Journals

Copyright © 2002 by the American Society for Microbiology. All rights reserved.