Automated Evolutionary Engineering of Yeasts

Journal article (2022)

Authors

A.F. de Hulster BT/Industriele Microbiologie - AS
C. Mooiman BT/Bioprocess Engineering - AS
Rowin Timmermans Applikon Biotechnology
R. Mans BT/Industriele Microbiologie - AS
Research Group
BT/Industriele Microbiologie (AS) (TU Delft)
Copyright: © 2022 A.F. de Hulster, C. Mooiman, Rowin Timmermans, R. Mans
DOI: https://doi.org/10.1007/978-1-0716-2399-2_15
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Applied Sciences

Department

BT/Biotechnologie

Research Group

BT/Industriele Microbiologie

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.

Files

20191011_Automated_evolutionar... (pdf)
(pdf | 0.743 Mb)
Unknown license

Download not available

Hulster2022_Protocol_Automated... (pdf)
(pdf | 0.541 Mb)
- Embargo expired in 01-07-2023
Unknown license