Automated Evolutionary Engineering of Yeasts

Erik de Hulster; Christiaan Mooiman; Rowin Timmermans; Robert Mans

doi:10.1007/978-1-0716-2399-2_15

Automated Evolutionary Engineering of Yeasts

Erik de Hulster, Christiaan Mooiman, Rowin Timmermans, Robert Mans

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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.

Original language	English
Pages (from-to)	255-270
Journal	Methods in molecular biology (Clifton, N.J.)
Volume	2513
DOIs	https://doi.org/10.1007/978-1-0716-2399-2_15
Publication status	Published - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Accelerostat
Automation
Batch
Bioreactor
Chemostat
Control software
Evolution

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10.1007/978-1-0716-2399-2_15

Hulster2022_Protocol_AutomatedEvolutionaryEngineeriFinal published version, 411 KB

Cite this

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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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Automated Evolutionary Engineering of Yeasts

Abstract

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Keywords

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