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Journal article

Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes

From

Korea Advanced Institute of Science and Technology1

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark2

Big Data 2 Knowledge, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3

Network Reconstruction in Silico Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4

Streptomyces species are gram-positive bacteria with GC-rich linear genomes and they serve as dominant reservoirs for producing clinically and industrially important secondary metabolites. Genome mining of Streptomyces revealed that each Streptomyces species typically encodes 20–50 secondary metabolite biosynthetic gene clusters (smBGCs), emphasizing their potential for novel compound discovery.

Unfortunately, most of smBGCs are uncharacterized in terms of their products and regulation since they are silent under laboratory culture conditions. To translate the genomic potential of Streptomyces to practical applications, it is essential to understand the complex regulation of smBGC expression and to identify the underlying regulatory elements.

To progress towards these goals, we applied two Next-Generation Sequencing methods, dRNA-Seq and Term-Seq, to industrially relevant Streptomyces species to reveal the 5´ and 3´ boundaries of RNA transcripts on a genome scale. This data provides a fundamental resource to aid our understanding of Streptomyces’ regulation of smBGC expression and to enhance their potential for secondary metabolite synthesis.

Language: English
Publisher: Nature Publishing Group UK
Year: 2020
Pages: 436
ISSN: 20524463
Types: Journal article
DOI: 10.1038/s41597-020-00775-w
ORCIDs: Palsson, Bernhard O. and 0000-0003-4788-4184

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