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A synbio approach for selection of highly expressed gene variants in Gram-positive bacteria
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. CloneOpt AB, Sweden.
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Number of Authors: 5
2018 (English)In: Microbial Cell Factories, ISSN 1475-2859, E-ISSN 1475-2859, Vol. 17, article id 37Article in journal (Refereed) Published
Abstract [en]

Background: The market for recombinant proteins is on the rise, and Gram-positive strains are widely exploited for this purpose. Bacillus subtilis is a profitable host for protein production thanks to its ability to secrete large amounts of proteins, and Lactococcus lactis is an attractive production organism with a long history in food fermentation. Results: We have developed a synbio approach for increasing gene expression in two Gram-positive bacteria. First of all, the gene of interest was coupled to an antibiotic resistance gene to create a growth-based selection system. We then randomised the translation initiation region (TIR) preceding the gene of interest and selected clones that produced high protein titres, as judged by their ability to survive on high concentrations of antibiotic. Using this approach, we were able to significantly increase production of two industrially relevant proteins; sialidase in B. subtilis and tyrosine ammonia lyase in L. lactis. Conclusion: Gram-positive bacteria are widely used to produce industrial enzymes. High titres are necessary to make the production economically feasible. The synbio approach presented here is a simple and inexpensive way to increase protein titres, which can be carried out in any laboratory within a few days. It could also be implemented as a tool for applications beyond TIR libraries, such as screening of synthetic, homologous or domain-shuffled genes.

Place, publisher, year, edition, pages
2018. Vol. 17, article id 37
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Biological Sciences Industrial Biotechnology
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URN: urn:nbn:se:su:diva-154723DOI: 10.1186/s12934-018-0886-yISI: 000427028500001PubMedID: 29519251OAI: oai:DiVA.org:su-154723DiVA, id: diva2:1195065
Available from: 2018-04-04 Created: 2018-04-04 Last updated: 2018-04-04Bibliographically approved

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