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A Titratable Cell Lysis-on-Demand System for Droplet-Compartmentalized Ultrahigh-Throughput Screening in Functional Metagenomics and Directed Evolution

Authors :
Bjørn T. Stokke
Chengzhi Guo
Liisa D. Van Vliet
Rahmi Lale
Che Fai Alex Wong
Marit Sletmoen
Florian Hollfelder
Swapnil Vilas Bhujbal
Stokke, Bjørn Torger [0000-0003-2991-8088]
Hollfelder, Florian [0000-0002-1367-6312]
Lale, Rahmi [0000-0001-5460-3163]
Apollo - University of Cambridge Repository
Source :
ACS Synthetic Biology
Publication Year :
2021
Publisher :
American Chemical Society (ACS), 2021.

Abstract

Water-in-oil emulsion droplets are an attractive format for ultrahigh-throughput screening in functional metagenomics and directed evolution applications that allow libraries with more than 107 members to be characterized in a day. Single library members are compartmentalized in droplets that are generated in microfluidic devices and tested for the presence of target biocatalysts. The target proteins can be produced intracellularly, for example, in bacterial hosts in-droplet cell lysis is therefore necessary to allow the enzymes to encounter the substrate to initiate an activity assay. Here, we present a titratable lysis-on-demand (LoD) system enabling the control of the cell lysis rate in Escherichia coli. We demonstrate that the rate of cell lysis can be controlled by adjusting the externally added inducer concentration. This LoD system is evaluated both at the population level (by optical density measurements) and at the single-cell level (on single-cell arrays and in alginate microbeads). Additionally, we validate the LoD system by droplet screening of a phosphotriesterase expressed from E. coli, with cell lysis triggered by inducer concentrations in the μM range. The LoD system yields sufficient release of the intracellularly produced enzymes to bring about a detectable quantity of product (measured by fluorescence in flow cytometry of double emulsions), while leaving viable cells for the downstream recovery of the genetic material.

Details

ISSN :
21615063
Volume :
10
Database :
OpenAIRE
Journal :
ACS Synthetic Biology
Accession number :
edsair.doi.dedup.....4dbf6ffc705c0e91500daa9bc9fc664d
Full Text :
https://doi.org/10.1021/acssynbio.1c00084