Literature DB >> 20830562

Substrate-induced gene expression screening: a method for high-throughput screening of metagenome libraries.

Taku Uchiyama1, Kentaro Miyazaki.   

Abstract

The SIGEX (substrate-induced gene expression) method is a novel approach for the screening of gene (genome) libraries. In addition to the commonly used function- and sequence-driven approaches to screening, SIGEX provides a third option; in SIGEX, positives are identified using a reporter gene, and the library is constructed using an "operon-trap" vector. This vector contains the reporter gene immediately downstream of the cloning site for the genomic insert so that the expression of the inserted gene(s) is coupled with that of the reporter gene. This system is especially suitable for screening catabolic genes that are induced in response to metabolically relevant compounds, such as substrates. If expression of the inserted gene(s) is activated in response to the addition of these compounds, then positive clones can be identified based on the reporter signal. The most effective selection is obtained by the use of a FACS (fluorescence-activated cell sorter) in conjunction with a FACS-compatible fluorescent reporter protein, such as GFP (green fluorescent protein). Activity-based screening of metagenomic libraries often suffers from low sensitivity and low throughput. In contrast, the high throughput, high sensitivity, and versatility of SIGEX make it a particularly suitable method for screening metagenomic libraries.

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Year:  2010        PMID: 20830562     DOI: 10.1007/978-1-60761-823-2_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Use of Substrate-Induced Gene Expression in Metagenomic Analysis of an Aromatic Hydrocarbon-Contaminated Soil.

Authors:  Matthew J Meier; E Suzanne Paterson; Iain B Lambert
Journal:  Appl Environ Microbiol       Date:  2015-11-20       Impact factor: 4.792

2.  Assessing glycolytic flux alterations resulting from genetic perturbations in E. coli using a biosensor.

Authors:  Christina E Lehning; Solvej Siedler; Mostafa M H Ellabaan; Morten O A Sommer
Journal:  Metab Eng       Date:  2017-07-12       Impact factor: 9.783

Review 3.  Emerging strategies and integrated systems microbiology technologies for biodiscovery of marine bioactive compounds.

Authors:  Javier Rocha-Martin; Catriona Harrington; Alan D W Dobson; Fergal O'Gara
Journal:  Mar Drugs       Date:  2014-06-10       Impact factor: 5.118

Review 4.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

Review 5.  Transcription factor-based biosensors in biotechnology: current state and future prospects.

Authors:  Regina Mahr; Julia Frunzke
Journal:  Appl Microbiol Biotechnol       Date:  2015-10-31       Impact factor: 4.813

6.  Molecular engineering of the salicylate-inducible transcription factor Sal7AR for orthogonal and high gene expression in Escherichia coli.

Authors:  Kentaro Miyazaki
Journal:  PLoS One       Date:  2018-04-11       Impact factor: 3.240

  6 in total

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