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Updated: Jul 4, 2026
10:08
Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
Published on: August 12, 2019
A mathematical description of recombinant yeast
1Department of Chemical Engineering, University of Delaware, Newark, Delaware 19716, USA.
Biotechnology and Bioengineering
|February 20, 1990
Summary
A mathematical model was developed for recombinant Saccharomyces cerevisiae, simulating growth and human Epidermal Growth Factor (hEGF) production across various bioreactor types. The model accurately described experimental data, validating its predictive capabilities for bioprocess optimization.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Molecular Biology
Background:
- Recombinant Saccharomyces cerevisiae is a key host for heterologous protein production.
- Accurate modeling is crucial for optimizing bioprocesses and predicting product formation.
- Existing models may not fully capture the complexities of recombinant yeast fermentation.
Purpose of the Study:
- To formulate and verify a comprehensive mathematical model for recombinant Saccharomyces cerevisiae.
- To simulate key fermentation parameters including cell growth and human Epidermal Growth Factor (hEGF) production.
- To assess model performance across different bioreactor configurations (batch, fed-batch, hollow fiber).
Main Methods:
- Development of a model incorporating 19 differential and 24 analytical equations.
- Simulation of dry cell weight, glucose, ethanol, dissolved oxygen, hEGF, and gas production rates.
- Utilized experimental data from S. cerevisiae strain AB103. 1 pYalphaEF-25 for model verification.
- Adjusted 8 out of 48 parameters due to limited literature on specific enzyme pools (ADH-II, TCA).
Main Results:
- The model successfully simulated observed phenomena in S. cerevisiae fermentations.
- Simulation results demonstrated good agreement with experimental data for growth and hEGF production.
- Statistical analysis confirmed the model's fit and identified parameter sensitivity.
Conclusions:
- The developed mathematical model provides a robust framework for understanding and predicting recombinant Saccharomyces cerevisiae fermentation.
- The model's ability to simulate hEGF production highlights its utility for biopharmaceutical process development.
- Further refinement of parameters could enhance model accuracy for specific metabolic pathways.
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