Journal article
The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology
University of California at San Diego1
Big Data 2 Knowledge, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark2
Network Reconstruction in Silico Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4
ALE Technology & Software Development, Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5
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 to both 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.
Language: | English |
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Year: | 2019 |
Pages: | 1-16 |
ISSN: | 10967184 and 10967176 |
Types: | Journal article |
DOI: | 10.1016/j.ymben.2019.08.004 |
ORCIDs: | Palsson, Bernhard O and Feist, Adam M |