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Automated Evolutionary Engineering of Yeasts
Erik de Hulster1, Christiaan Mooiman1, Rowin Timmermans2
1Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.
Methods in Molecular Biology (Clifton, N.J.)
|July 5, 2022
Summary
Automated evolutionary engineering accelerates microbe optimization for cell factories. This study details methods for yeast evolution over 1000 generations with minimal manual intervention.
Area of Science:
- Microbiology
- Synthetic Biology
- Biotechnology
Background:
- Evolutionary engineering is key for optimizing microbial cell factories.
- Directed evolution is labor-intensive and time-consuming.
- Automation can significantly reduce manual labor in evolutionary engineering.
Purpose of the Study:
- To describe design considerations for various evolutionary engineering methods.
- To provide generic workflows for automated microbial evolution.
- To enable high-generation yeast evolution with minimal manual intervention.
Main Methods:
- Design considerations for batch, chemostat, and accelerostat evolution.
- Generic workflows for automated bioreactors.
- Implementation in yeast cultures for extended evolutionary periods.
Main Results:
- Detailed design considerations for automated evolutionary methods.
- Generic workflows applicable to different evolutionary strategies.
- Successful evolution of yeast cultures for over 1000 generations.
Conclusions:
- Automated evolutionary engineering significantly reduces manual labor.
- The described methods facilitate high-generation evolution of microbial cell factories.
- This approach aids in identifying genetic targets for further research.
