The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.

Autor: Sandberg TE; Department of Bioengineering, University of California, San Diego, CA, 92093, USA., Salazar MJ; Department of Bioengineering, University of California, San Diego, CA, 92093, USA., Weng LL; Department of Bioengineering, University of California, San Diego, CA, 92093, USA., Palsson BO; Department of Bioengineering, University of California, San Diego, CA, 92093, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Lyngby, Denmark., Feist AM; Department of Bioengineering, University of California, San Diego, CA, 92093, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Lyngby, Denmark. Electronic address: afeist@ucsd.edu.
Jazyk: angličtina
Zdroj: Metabolic engineering [Metab Eng] 2019 Dec; Vol. 56, pp. 1-16. Date of Electronic Publication: 2019 Aug 08.
DOI: 10.1016/j.ymben.2019.08.004
Abstrakt: Harnessing the process of natural selection to obtain and understand new microbial phenotypes has become increasingly possible due to advances in culturing techniques, DNA sequencing, bioinformatics, and genetic engineering. Accordingly, Adaptive Laboratory Evolution (ALE) experiments represent a powerful approach both to investigate the evolutionary forces influencing strain phenotypes, performance, and stability, and to acquire production strains that contain beneficial mutations. In this review, we summarize and categorize the applications of ALE to various aspects of microbial physiology pertinent to industrial bioproduction by collecting case studies that highlight the multitude of ways in which evolution can facilitate the strain construction process. Further, we discuss principles that inform experimental design, complementary approaches such as computational modeling that help maximize utility, and the future of ALE as an efficient strain design and build tool driven by growing adoption and improvements in automation.
(Copyright © 2019 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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