Controlled Continuous Evolution of Enzymatic Activity Screened at Ultrahigh Throughput Using Drop‐Based Microfluidics

Author:

Rosenthal R. G.12,Diana Zhang X.1,Đurđić K. Ilić134ORCID,Collins J. J.23567,Weitz D. A.138ORCID

Affiliation:

1. School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 USA

2. Institute for Medical Engineering and Science Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge MA 02139 USA

3. Wyss Institute for Biologically Inspired Engineering Harvard University 3 Blackfan Circle Boston MA 02115 USA

4. University of Belgrade-Faculty of Chemistry Studentski trg 12–16 11000 Belgrade Serbia

5. Department of Biological Engineering Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge MA 02139 USA

6. Synthetic Biology Center Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge MA 02139 USA

7. Harvard-MIT Program in Health Sciences and Technology Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge MA 02139 USA

8. Department of Physics Harvard University Cambridge MA 02138 USA

Abstract

AbstractEnzymes are highly specific catalysts delivering improved drugs and greener industrial processes. Naturally occurring enzymes must typically be optimized which is often accomplished through directed evolution; however, this is still a labor‐ and capital‐intensive process, due in part to multiple molecular biology steps including DNA extraction, in vitro library generation, transformation, and limited screening throughput. We present an effective and broadly applicable continuous evolution platform that enables controlled exploration of fitness landscape to evolve enzymes at ultrahigh throughput based on direct measurement of enzymatic activity. This drop‐based microfluidics platform cycles cells between growth and mutagenesis followed by screening with minimal human intervention, relying on the nCas9 chimera with mutagenesis polymerase to produce in vivo gene diversification using sgRNAs tiled along the gene. We evolve alditol oxidase to change its substrate specificity towards glycerol, turning a waste product into a valuable feedstock. We identify a variant with a 10.5‐fold catalytic efficiency.

Funder

National Science Foundation

European Molecular Biology Organization

Materials Research Science and Engineering Center, Harvard University

Publisher

Wiley

Subject

General Chemistry,Catalysis

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