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.
CITATION STYLE
de Hulster, E., Mooiman, C., Timmermans, R., & Mans, R. (2022). Automated Evolutionary Engineering of Yeasts. In Methods in Molecular Biology (Vol. 2513, pp. 255–270). Humana Press Inc. https://doi.org/10.1007/978-1-0716-2399-2_15
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