Oxytetracycline hyper-production through targeted genome reduction of Streptomyces rimosus

There is a critical need to develop novel antibiotics to combat antimicrobial resistance. Streptomyces species are very rich source of antibiotics, typically encoding 20–60 biosynthetic gene clusters (BGCs). However, under laboratory conditions, most are either silent or poorly expressed so that the...

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Published inmSystems Vol. 9; no. 5; p. e0025024
Main Authors Pšeničnik, Alen, Slemc, Lucija, Avbelj, Martina, Tome, Miha, Šala, Martin, Herron, Paul, Shmatkov, Maksym, Petek, Marko, Baebler, Špela, Mrak, Peter, Hranueli, Daslav, Starčević, Antonio, Hunter, Iain S., Petković, Hrvoje
Format Journal Article
LanguageEnglish
Published United States American Society for Microbiology 16.05.2024
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Summary:There is a critical need to develop novel antibiotics to combat antimicrobial resistance. Streptomyces species are very rich source of antibiotics, typically encoding 20–60 biosynthetic gene clusters (BGCs). However, under laboratory conditions, most are either silent or poorly expressed so that their products are only detectable at nanogram quantities, which hampers drug development efforts. To address this subject, we used comparative genome analysis of industrial Streptomyces rimosus strains producing high titers of a broad spectrum antibiotic oxytetracycline (OTC), developed during decades of industrial strain improvement. Interestingly, large-scale chromosomal deletions were observed. Based on this information, we carried out targeted genome deletions in the native strain S. rimosus ATCC 10970, and we show that a targeted deletion in the vicinity of the OTC BGC significantly induced expression of the OTC BGC, as well as some other silent BGCs, thus suggesting that this approach may be a useful way to identify new natural products.
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University of Ljubljana Biotechnical faculty filed a patent application relating to the findings of this work (inventors: Hrvoje Petković, Alen Pšeničnik, and Lucija Slemc).
Present address: National Institute of Biology, Ljubljana, Slovenia
ISSN:2379-5077
2379-5077
DOI:10.1128/msystems.00250-24