<HashMap><database>biostudies-literature</database><scores/><additional><submitter>van Rossum T</submitter><funding>7th framework program for research and technological development (FP7) of the European Union</funding><funding>Graduate School VLAG</funding><pagination>625-641</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5404197</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(3)</volume><pubmed_abstract>The use of bioreporters in high-throughput screening for small molecules is generally laborious and/or expensive. The technology can be simplified by coupling the generation of a desired compound to cell survival, causing only positive cells to stay in the pool of generated variants. Here, a dual selection/screening system was developed for the in vivo detection of novel biocatalysts. The sensor part of the system is based on the transcriptional regulator AraC, which controls expression of both a selection reporter (LeuB or KmR; enabling growth) for rapid reduction of the initially large library size and a screening reporter (LuxCDABE; causing bioluminescence) for further quantification of the positive variants. Of four developed systems, the best system was the medium copy system with KmR as selection reporter. As a proof of principle, the system was tested for the selection of cells expressing an l-arabinose isomerase derived from mesophilic Escherichia coli or thermophilic Geobacillus thermodenitrificans. A more than a millionfold enrichment of cells with l-arabinose isomerase activity was demonstrated by selection and exclusion of false positives by screening. This dual selection/screening system is an important step towards an improved detection method for small molecules, and thereby for finding novel biocatalysts.</pubmed_abstract><journal>Microbial biotechnology</journal><pubmed_title>A growth- and bioluminescence-based bioreporter for the in vivo detection of novel biocatalysts.</pubmed_title><pmcid>PMC5404197</pmcid><funding_grant_id>265933</funding_grant_id><pubmed_authors>van Rossum T</pubmed_authors><pubmed_authors>Muras A</pubmed_authors><pubmed_authors>Creutzburg SCA</pubmed_authors><pubmed_authors>Kengen SWM</pubmed_authors><pubmed_authors>van der Oost J</pubmed_authors><pubmed_authors>Baur MJJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A growth- and bioluminescence-based bioreporter for the in vivo detection of novel biocatalysts.</name><description>The use of bioreporters in high-throughput screening for small molecules is generally laborious and/or expensive. The technology can be simplified by coupling the generation of a desired compound to cell survival, causing only positive cells to stay in the pool of generated variants. Here, a dual selection/screening system was developed for the in vivo detection of novel biocatalysts. The sensor part of the system is based on the transcriptional regulator AraC, which controls expression of both a selection reporter (LeuB or KmR; enabling growth) for rapid reduction of the initially large library size and a screening reporter (LuxCDABE; causing bioluminescence) for further quantification of the positive variants. Of four developed systems, the best system was the medium copy system with KmR as selection reporter. As a proof of principle, the system was tested for the selection of cells expressing an l-arabinose isomerase derived from mesophilic Escherichia coli or thermophilic Geobacillus thermodenitrificans. A more than a millionfold enrichment of cells with l-arabinose isomerase activity was demonstrated by selection and exclusion of false positives by screening. This dual selection/screening system is an important step towards an improved detection method for small molecules, and thereby for finding novel biocatalysts.</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 May</publication><modification>2024-02-16T12:47:53.452Z</modification><creation>2019-03-27T02:42:00Z</creation></dates><accession>S-EPMC5404197</accession><cross_references><pubmed>28393499</pubmed><doi>10.1111/1751-7915.12612</doi></cross_references></HashMap>