Dedicated to Prof. A. Fiechter on the occasion of his 60th birthday.
Growth of Saccharomyces cerevisiae is controlled by its limited respiratory capacity: Formulation and verification of a hypothesis†
Article first published online: 18 FEB 2004
Copyright © 1986 John Wiley & Sons, Inc.
Biotechnology and Bioengineering
Volume 28, Issue 6, pages 927–937, June 1986
How to Cite
Sonnleitner, B. and Käppeli, O. (1986), Growth of Saccharomyces cerevisiae is controlled by its limited respiratory capacity: Formulation and verification of a hypothesis. Biotechnol. Bioeng., 28: 927–937. doi: 10.1002/bit.260280620
- Issue published online: 18 FEB 2004
- Article first published online: 18 FEB 2004
- Manuscript Accepted: 30 JUL 1985
A novel mechanistic model for the growth of baker's yeast on glucoseis presented. It is based on the fact that glucose degradation proceeds via two pathways under conditions of aerobic ethanol formation. Part is metabolized oxidatively and part reductively, with ethanol being the end product of reductive energy metabolism. The corresponding metabolic state is designated oxidoreductive. Ethanol can be used oxidatively only. Maximum rates of oxidative glucose and ethanol degradation are governed by the respiratory capacity of the cells. The model is formulated by using the stoichiometric growth equations for pure oxidative and reductive (fermentative) glucose and ethanol metabolism. Together with the experimentally determinable yield coefficients (YX/S) for the respective metabolic pathways, the resulting equation system is sufficiently determined. The superiority of the presented model over hitherto published ones is based on two essential novelities. (1) The model was developed on experimentally easily accessible parameters only. (2) For the modeling of aerobic ethanol formation, the substrate flow was split into two simultaneously operating (i.e., in parallel) metabolic pathways that exhibit different but constant energy-generating efficiencies (respiration and fermentation) and consequently different and constant biomass yields (YX/S). The model allows the prediction of experimental data without parameter adaption in a biologically dubious manner.