Literature DB >> 29227495

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

Yuxin Qiao1, Xiaoyan Zhao, Jun Zhu, Ran Tu, Libing Dong, Li Wang, Zhiyang Dong, Qinhong Wang, Wenbin Du.   

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.

Mesh:

Substances:

Year:  2017        PMID: 29227495     DOI: 10.1039/c7lc00993c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  8 in total

1.  Ultrahigh-throughput screening of industrial enzyme-producing strains by droplet-based microfluidic system.

Authors:  Huiling Yuan; Ran Tu; Xinwei Tong; Yuping Lin; Yuanyuan Zhang; Qinhong Wang
Journal:  J Ind Microbiol Biotechnol       Date:  2022-05-25       Impact factor: 4.258

2.  Microfluidic screening and genomic mutation identification for enhancing cellulase production in Pichia pastoris.

Authors:  Huiling Yuan; Ying Zhou; Yuping Lin; Ran Tu; Yufeng Guo; Yuanyuan Zhang; Qinhong Wang
Journal:  Biotechnol Biofuels Bioprod       Date:  2022-05-14

3.  Ultra-high-throughput picoliter-droplet microfluidics screening of the industrial cellulase-producing filamentous fungus Trichoderma reesei.

Authors:  Ronglin He; Ruihua Ding; John A Heyman; Dongyuan Zhang; Ran Tu
Journal:  J Ind Microbiol Biotechnol       Date:  2019-08-02       Impact factor: 3.346

4.  Ultrahigh-Throughput Screening of High-β-Xylosidase-Producing Penicillium piceum and Investigation of the Novel β-Xylosidase Characteristics.

Authors:  Zhaokun Zhang; Mingyue Ge; Qi Guo; Yi Jiang; Wendi Jia; Le Gao; Jianhua Hu
Journal:  J Fungi (Basel)       Date:  2022-03-22

5.  Fluorescent nucleic acid probe in droplets for bacterial sorting (FNAP-sort) as a high-throughput screening method for environmental bacteria with various growth rates.

Authors:  Yuri Ota; Kanako Saito; Taeko Takagi; Satoko Matsukura; Masamune Morita; Satoshi Tsuneda; Naohiro Noda
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

6.  7-Aminocoumarin-4-acetic Acid as a Fluorescent Probe for Detecting Bacterial Dipeptidyl Peptidase Activities in Water-in-Oil Droplets and in Bulk.

Authors:  Akihiro Nakamura; Nobuyuki Honma; Yuma Tanaka; Yoshiyuki Suzuki; Yosuke Shida; Yuko Tsuda; Koushi Hidaka; Wataru Ogasawara
Journal:  Anal Chem       Date:  2021-12-28       Impact factor: 6.986

Review 7.  Emerging microfluidic technologies for microbiome research.

Authors:  Yue Yu; Hui Wen; Sihong Li; Haojie Cao; Xuefei Li; Zhixin Ma; Xiaoyi She; Lei Zhou; Shuqiang Huang
Journal:  Front Microbiol       Date:  2022-08-16       Impact factor: 6.064

8.  Optofluidic detection setup for multi-parametric analysis of microbiological samples in droplets.

Authors:  S Hengoju; S Wohlfeil; A S Munser; S Boehme; E Beckert; O Shvydkiv; M Tovar; M Roth; M A Rosenbaum
Journal:  Biomicrofluidics       Date:  2020-04-09       Impact factor: 2.800

  8 in total

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