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Fluorescence-activated droplet sorting of lipolytic microorganisms using a compact optical system

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Abstract

Lipases are ubiquitous enzymes of great physiological significance that have been used extensively in multiple industries. Environmental microorganisms are a major source for the discovery of novel lipases with high catalytic efficiency and selectivity. However, current plate-based screening of lipase-producing strains is time consuming, labour intensive and inefficient. In this study, we developed an ultra-high throughput screening pipeline for lipase-producing strains based on fluorescence-activated droplet sorting (FADS) using a compact optical system that could be easily set up in an alignment-free manner. The pipeline includes droplet generation, droplet incubation, picoinjection of the fluorescence probe, and sorting of droplets with a throughput of 2 × 106 drops per h. We applied the pipeline to screen samples collected from different locations, including sediments from a hot spring in Tibet, soils from the Zoige wetland, contaminated soils from an abandoned oilfield, and a Chinese Daqu starter. In total, we obtained 47 lipase-producing bacterial strains belonging to seven genera, including Staphylococcus, Bacillus, Enterobacter, Serratia, Prolinoborus, Acinetobacter, and Leclercia. We believe that this FADS-based pipeline could be extended to screen various enzymes from the environment, and may find wide applications in breeding of industrial microorganisms.

Graphical abstract: Fluorescence-activated droplet sorting of lipolytic microorganisms using a compact optical system

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Publication details

The article was received on 14 Sep 2017, accepted on 29 Nov 2017 and first published on 29 Nov 2017


Article type: Paper
DOI: 10.1039/C7LC00993C
Citation: Lab Chip, 2018, Advance Article
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    Fluorescence-activated droplet sorting of lipolytic microorganisms using a compact optical system

    Y. Qiao, X. Zhao, J. Zhu, R. Tu, L. Dong, L. Wang, Z. Dong, Q. Wang and W. Du, Lab Chip, 2018, Advance Article , DOI: 10.1039/C7LC00993C

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