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Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes
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 metabol...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738537/ https://www.ncbi.nlm.nih.gov/pubmed/33319794 http://dx.doi.org/10.1038/s41597-020-00775-w |
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author | Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Jeong, Yujin Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan |
author_facet | Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Jeong, Yujin Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan |
author_sort | Lee, Yongjae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7738537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77385372020-12-21 Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Jeong, Yujin Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan Sci Data Data Descriptor 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. Nature Publishing Group UK 2020-12-15 /pmc/articles/PMC7738537/ /pubmed/33319794 http://dx.doi.org/10.1038/s41597-020-00775-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Jeong, Yujin Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title | Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title_full | Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title_fullStr | Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title_full_unstemmed | Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title_short | Genome-scale determination of 5´ and 3´ boundaries of RNA transcripts in Streptomyces genomes |
title_sort | genome-scale determination of 5´ and 3´ boundaries of rna transcripts in streptomyces genomes |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738537/ https://www.ncbi.nlm.nih.gov/pubmed/33319794 http://dx.doi.org/10.1038/s41597-020-00775-w |
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