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From molecular engineering to process engineering: development of high-throughput screening methods in enzyme directed evolution

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Abstract

With increasing concerns in sustainable development, biocatalysis has been recognized as a competitive alternative to traditional chemical routes in the past decades. As nature’s biocatalysts, enzymes are able to catalyze a broad range of chemical transformations, not only with mild reaction conditions but also with high activity and selectivity. However, the insufficient activity or enantioselectivity of natural enzymes toward non-natural substrates limits their industrial application, while directed evolution provides a potent solution to this problem, thanks to its independence on detailed knowledge about the relationship between sequence, structure, and mechanism/function of the enzymes. A proper high-throughput screening (HTS) method is the key to successful and efficient directed evolution. In recent years, huge varieties of HTS methods have been developed for rapid evaluation of mutant libraries, ranging from in vitro screening to in vivo selection, from indicator addition to multi-enzyme system construction, and from plate screening to computation- or machine-assisted screening. Recently, there is a tendency to integrate directed evolution with metabolic engineering in biosynthesis, using metabolites as HTS indicators, which implies that directed evolution has transformed from molecular engineering to process engineering. This paper aims to provide an overview of HTS methods categorized based on the reaction principles or types by summarizing related studies published in recent years including the work from our group, to discuss assay design strategies and typical examples of HTS methods, and to share our understanding on HTS method development for directed evolution of enzymes involved in specific catalytic reactions or metabolic pathways.

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Funding

This work was funded by the Qianjiang Talents Project of Zhejiang Province, the Natural Science Foundation of China (Grant No. 21576234), and the National High Technology Research and Development Program (863 Program) of China (Grant No. SS2015AA020601).

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Correspondence to Hongwei Yu.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Ye, L., Yang, C. & Yu, H. From molecular engineering to process engineering: development of high-throughput screening methods in enzyme directed evolution. Appl Microbiol Biotechnol 102, 559–567 (2018). https://doi.org/10.1007/s00253-017-8568-y

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  • DOI: https://doi.org/10.1007/s00253-017-8568-y

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