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Automated Evolutionary Engineering of Yeasts.
de Hulster, Erik; Mooiman, Christiaan; Timmermans, Rowin; Mans, Robert.
Afiliação
  • de Hulster E; Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.
  • Mooiman C; Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.
  • Timmermans R; Applikon Biotechnology B.V, Delft, The Netherlands.
  • Mans R; Department of Biotechnology, Delft University of Technology, Delft, The Netherlands. r.mans@tudelft.nl.
Methods Mol Biol ; 2513: 255-270, 2022.
Article em En | MEDLINE | ID: mdl-35781210
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leveduras / Microbiologia Industrial Tipo de estudo: Prognostic_studies Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leveduras / Microbiologia Industrial Tipo de estudo: Prognostic_studies Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda