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 in | mSystems Vol. 9; no. 5; p. e0025024 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Society for Microbiology
16.05.2024
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Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 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 |