A METABOLIC MODEL OF CELLULAR ENERGETICS AND CARBON FLUX DURING AEROBIC ESCHERICHIA-COLI FERMENTATION

Citation
Yf. Ko et al., A METABOLIC MODEL OF CELLULAR ENERGETICS AND CARBON FLUX DURING AEROBIC ESCHERICHIA-COLI FERMENTATION, Biotechnology and bioengineering, 43(9), 1994, pp. 847-855
Citations number
19
Categorie Soggetti
Biothechnology & Applied Migrobiology
ISSN journal
00063592
Volume
43
Issue
9
Year of publication
1994
Pages
847 - 855
Database
ISI
SICI code
0006-3592(1994)43:9<847:AMMOCE>2.0.ZU;2-D
Abstract
An integrated metabolic model for the production of acetate by Escheri chia coli growing on glucose under aerobic conditions was presented pr eviously (Ko et al., 1993). The resulting model equations can be used to explain phenomena often observed with industrial fermentations, i.e ., increased acetate production which follows from high glucose uptake rate, a low dissolved oxygen concentration, a high specific growth ra te, or a combination of these conditions. However, several questions s till need to be addressed. First, cell composition is growth rate and media dependent. Second, the macromolecular composition varied between E. coli strains. And finally, a model that represents the carbon flux es between the Embden - Meyerhof- Parnas (EMP) and the hexose monophos phate (HMP) pathways when cells are subject to internal and/or externa l stresses is still not well defined. In the present work, we have mad e an effort to account for these effects, and the resulting model equa tions show good agreement for wild-type and recombinant E. coil experi mental data for the acetate concentration, the onset of acetate secret ion, and cell yield based on glucose. These results are useful for opt imizing aerobic E. coil fermentation processes. More specifically, we have determined the EMP pathway carbon flux profiles required by the i ntegrated metabolic model for an accurate fit of the acetic acid profi le data from a wild-type E. coli strain ML308. These EMP carbon flux p rofiles were correlated with a dimensionless measurement of biomass an d then used to predict the acetic acid profiles for E. coli strain F-1 22 expressing human immunodeficiency virus-(HIV528) beta-galactosidase fusion protein. The effect of different macromolecular compositions a nd growth rates between these two E. coli strains required a constant scaling factor for improved quantitative predictions. (C) 1994 John Wi ley and Sons, Inc.