Automated Evolutionary Engineering of Yeasts

Journal Article (2022)
Authors

Erik A.F. de Hulster (TU Delft - BT/Industriele Microbiologie)

C. Mooiman (TU Delft - BT/Bioprocess Engineering)

Rowin Timmermans (Applikon Biotechnology)

R. Mans (TU Delft - BT/Industriele Microbiologie)

Research Group
BT/Industriele Microbiologie
Copyright
© 2022 A.F. de Hulster, C. Mooiman, Rowin Timmermans, R. Mans
To reference this document use:
https://doi.org/10.1007/978-1-0716-2399-2_15
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 A.F. de Hulster, C. Mooiman, Rowin Timmermans, R. Mans
Research Group
BT/Industriele Microbiologie
Volume number
2513
Pages (from-to)
255-270
DOI:
https://doi.org/10.1007/978-1-0716-2399-2_15
Reuse Rights

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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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