Abstract
Evolutionary engineering of microbes provides a powerful tool for untargeted optimization of (engineered) cell factories and identification of genetic targets for further research. Directed evolution is an intrinsically time-intensive effort, and automated methods can significantly reduce manual labor. Here, design considerations for various evolutionary engineering methods are described, and generic workflows for batch-, chemostat-, and accelerostat-based evolution in automated bioreactors are provided. These methods can be used to evolve yeast cultures for >1000 generations and are designed to require minimal manual intervention.
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Acknowledgments
The contribution of CM was funded by an Advanced Grant of the European Research Council (grant # 694633 to Jack T. Pronk).
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de Hulster, E., Mooiman, C., Timmermans, R., Mans, R. (2022). Automated Evolutionary Engineering of Yeasts. In: Mapelli, V., Bettiga, M. (eds) Yeast Metabolic Engineering. Methods in Molecular Biology, vol 2513. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2399-2_15
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DOI: https://doi.org/10.1007/978-1-0716-2399-2_15
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Publisher Name: Humana, New York, NY
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Online ISBN: 978-1-0716-2399-2
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