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PMID: 7768825 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Computer-assisted nonlinear regression analysis of the multicomponent glucose uptake kinetics of Saccharomyces cerevisiae.

Journal of bacteriology ·Vol. 177 ·No. 11 ·1995-06-00 ·Pages 3251-8

Coons DM, Boulton RB, Bisson LF

Abstract

The kinetics of glucose uptake in Saccharomyces cerevisiae are complex. An Eadie-Hofstee (rate of uptake versus rate of uptake over substrate concentration) plot of glucose uptake shows a nonlinear form typical of a multicomponent system. The nature of the constituent components is a subject of debate. It has recently been suggested that this nonlinearity is due to either a single saturable component together with free diffusion of glucose or a single constitutive component with a variable Km, rather than the action of multiple hexose transporters. Genetic data support the existence of a family of differentially regulated glucose transporters, encoded by the HXT genes. In this work, kinetic expressions and nonlinear regression analysis, based on an improved zero trans-influx assay, were used to address the nature of the components of the transport system. The results indicate that neither one component with free diffusion nor a single permease with a variable Km can explain the observed uptake rates. Results of uptake experiments, including the use of putative alternative substrates as inhibitory compounds, support the model derived from genetic analyses of a multicomponent system with at least two components, one a high-affinity carrier and the other a low-affinity carrier. This approach was extended to characterize the activity of the SNF3 protein and identify its role in the depression of high-affinity uptake. The kinetic data support a role of SNF3 as a regulatory protein that may not itself be a transporter.

Related Genes
MeSH Terms
Biological Transport Cell Membrane/metabolism Deoxyglucose/metabolism Diffusion Fungal Proteins/metabolism Glucose/metabolism Kinetics Monosaccharide Transport Proteins/metabolism Regression Analysis Saccharomyces cerevisiae/metabolism Software
Chemicals
Fungal Proteins Monosaccharide Transport Proteins Deoxyglucose Glucose
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Coons D M
Department of Viticulture and Enology, University of California, Davis 95616-8749, USA.
Boulton R B
Bisson L F
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Article Info
Journal
Journal of bacteriology
Abbr.
J Bacteriol
ISSN
0021-9193
Published
1995-06-00
Pages
3251-8
Language
English
Region
United States
NLM ID
2985120R
PMCID
PMC177018
Subset
IM
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