Literature DB >> 27584951

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System.

Haseong Kim1, Kil Koang Kwon1, Wonjae Seong1, Seung-Goo Lee2.   

Abstract

The recent development of a high-throughput single-cell assay technique enables the screening of novel enzymes based on functional activities from a large-scale metagenomic library(1). We previously proposed a genetic enzyme screening system (GESS) that uses dimethylphenol regulator activated by phenol or p-nitrophenol. Since a vast amount of natural enzymatic reactions produce these phenolic compounds from phenol deriving substrates, this single genetic screening system can be theoretically applied to screen over 200 different enzymes in the BRENDA database. Despite the general applicability of GESS, applying the screening process requires a specific procedure to reach the maximum flow cytometry signals. Here, we detail the developed screening process, which includes metagenome preprocessing with GESS and the operation of a flow cytometry sorter. Three different phenolic substrates (p-nitrophenyl acetate, p-nitrophenyl-β-D-cellobioside, and phenyl phosphate) with GESS were used to screen and to identify three different enzymes (lipase, cellulase, and alkaline phosphatase), respectively. The selected metagenomic enzyme activities were confirmed only with the flow cytometry but DNA sequencing and diverse in vitro analysis can be used for further gene identification.

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Year:  2016        PMID: 27584951      PMCID: PMC5091741          DOI: 10.3791/54059

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  14 in total

1.  Substrate-induced gene-expression screening of environmental metagenome libraries for isolation of catabolic genes.

Authors:  Taku Uchiyama; Takashi Abe; Toshimichi Ikemura; Kazuya Watanabe
Journal:  Nat Biotechnol       Date:  2004-12-19       Impact factor: 54.908

Review 2.  Metagenomics and industrial applications.

Authors:  Patrick Lorenz; Jürgen Eck
Journal:  Nat Rev Microbiol       Date:  2005-06       Impact factor: 60.633

Review 3.  Biocatalysts: application and engineering for industrial purposes.

Authors:  Sonia Jemli; Dorra Ayadi-Zouari; Hajer Ben Hlima; Samir Bejar
Journal:  Crit Rev Biotechnol       Date:  2014-11-06       Impact factor: 8.429

Review 4.  Novel screening methods--biosensors.

Authors:  Lothar Eggeling; Michael Bott; Jan Marienhagen
Journal:  Curr Opin Biotechnol       Date:  2015-01-09       Impact factor: 9.740

5.  Product-induced gene expression, a product-responsive reporter assay used to screen metagenomic libraries for enzyme-encoding genes.

Authors:  Taku Uchiyama; Kentaro Miyazaki
Journal:  Appl Environ Microbiol       Date:  2010-09-10       Impact factor: 4.792

6.  Stable propagation of cosmid sized human DNA inserts in an F factor based vector.

Authors:  U J Kim; H Shizuya; P J de Jong; B Birren; M I Simon
Journal:  Nucleic Acids Res       Date:  1992-03-11       Impact factor: 16.971

7.  Surveying biotransformations with à la carte genetic traps: translating dehydrochlorination of lindane (gamma-hexachlorocyclohexane) into lacZ-based phenotypes.

Authors:  William W Mohn; Junkal Garmendia; Teca C Galvao; Víctor de Lorenzo
Journal:  Environ Microbiol       Date:  2006-03       Impact factor: 5.491

8.  A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level.

Authors:  Stephan Binder; Georg Schendzielorz; Norma Stäbler; Karin Krumbach; Kristina Hoffmann; Michael Bott; Lothar Eggeling
Journal:  Genome Biol       Date:  2012-05-28       Impact factor: 13.583

9.  A novel psychrophilic alkaline phosphatase from the metagenome of tidal flat sediments.

Authors:  Dae-Hee Lee; Su-Lim Choi; Eugene Rha; Soo Jin Kim; Soo-Jin Yeom; Jae-Hee Moon; Seung-Goo Lee
Journal:  BMC Biotechnol       Date:  2015-01-31       Impact factor: 2.563

10.  Engineering an Acinetobacter regulon for biosensing and high-throughput enzyme screening in E. coli via flow cytometry.

Authors:  Ramesh K Jha; Theresa L Kern; David T Fox; Charlie E M Strauss
Journal:  Nucleic Acids Res       Date:  2014-05-26       Impact factor: 16.971

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