ArticleScientific data2020
Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Characterization of bacterial intrinsic transcription terminators identified with TERMITe-a novel method for comprehensive analysis of Term-seq data.Nucleic acids research · 2025Article
- BacTermFinder: a comprehensive and general bacterial terminator finder using a CNN ensemble.NAR genomics and bioinformatics · 2025Article
- Engineered CRISPR-Cas9 for Streptomyces sp. genome editing to improve specialized metabolite production.Nature communications · 2025Article
- Machine-Learning Analysis of Streptomyces coelicolor Transcriptomes Reveals a Transcription Regulatory Network Encompassing Biosynthetic Gene Clusters.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Characterization of bacterial intrinsic transcription terminators identified with TERMITe - a novel method for comprehensive analysis of Term-seq data.bioRxiv : the preprint server for biology · 2024Article
- Article
- Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information.BMC genomics · 2022Article
- Ms1 RNA Interacts With the RNA Polymerase Core inFrontiers in microbiology · 2022Article
- RiboRid: A low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics.PLoS genetics · 2021Article
- Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes.Scientific data · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
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.
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