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A General Process-Based Model for Describing the Metabolic Shift in Microbial Cell Cultures.
- Source :
-
Frontiers in microbiology [Front Microbiol] 2020 Sep 30; Vol. 11, pp. 521368. Date of Electronic Publication: 2020 Sep 30 (Print Publication: 2020). - Publication Year :
- 2020
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Abstract
- The metabolic shift between respiration and fermentation at high glucose concentration is a widespread phenomenon in microbial world, and it is relevant for the biotechnological exploitation of microbial cell factories, affecting the achievement of high-cell-densities in bioreactors. Starting from a model already developed for the yeast Saccharomyces cerevisiae , based on the System Dynamics approach, a general process-based model for two prokaryotic species of biotechnological interest, such as Escherichia coli and Bacillus subtilis , is proposed. The model is based on the main assumption that glycolytic intermediates act as central catabolic hub regulating the shift between respiratory and fermentative pathways. Furthermore, the description of a mixed fermentation with secondary by-products, characteristic of bacterial metabolism, is explicitly considered. The model also represents the inhibitory effect on growth and metabolism of self-produced toxic compounds relevant in assessing the late phases of high-cell density culture. Model simulations reproduced data from experiments reported in the literature with different strains of non-recombinant and recombinant E. coli and B. subtilis cultured in both batch and fed-batch reactors. The proposed model, based on simple biological assumptions, is able to describe the main dynamics of two microbial species of relevant biotechnological interest. It demonstrates that a reductionist System Dynamics approach to formulate simplified macro-kinetic models can provide a robust representation of cell growth and accumulation in the medium of fermentation by-products.<br /> (Copyright © 2020 Carteni, Occhicone, Giannino, Vincenot, de Alteriis, Palomba and Mazzoleni.)
Details
- Language :
- English
- ISSN :
- 1664-302X
- Volume :
- 11
- Database :
- MEDLINE
- Journal :
- Frontiers in microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 33117301
- Full Text :
- https://doi.org/10.3389/fmicb.2020.521368