Automated Evolutionary Engineering of Yeasts

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

Research output: Contribution to journalArticleScientific

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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 languageEnglish
Pages (from-to)255-270
JournalMethods in molecular biology (Clifton, N.J.)
Volume2513
DOIs
Publication statusPublished - 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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