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.
Measurement(s)
5´-ends of transcripts • 3´-ends of transcripts • RNA • TSS • transcription_termination_signal
Technology Type(s)
dRNA-Seq • Term-Seq • RNA sequencing
Factor Type(s)
Streptomyces growth phase
Sample Characteristic - Organism
Streptomyces avermitilis • Streptomyces clavuligerus • Streptomyces coelicolor • Streptomyces griseus • Streptomyces lividans • Streptomyces tsukubensis • Streptomyces venezuelae
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.13259393...

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

10.1038/s41597-020-00775-w