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Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information
BACKGROUND: The gram-positive bacterium, Streptomyces avermitilis, holds industrial importance as the producer of avermectin, a widely used anthelmintic agent, and a heterologous expression host of secondary metabolite-biosynthetic gene clusters. Despite its industrial importance, S. avermitilis’ ge...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780764/ https://www.ncbi.nlm.nih.gov/pubmed/35062881 http://dx.doi.org/10.1186/s12864-022-08314-0 |
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author | Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan |
author_facet | Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan |
author_sort | Lee, Yongjae |
collection | PubMed |
description | BACKGROUND: The gram-positive bacterium, Streptomyces avermitilis, holds industrial importance as the producer of avermectin, a widely used anthelmintic agent, and a heterologous expression host of secondary metabolite-biosynthetic gene clusters. Despite its industrial importance, S. avermitilis’ genome organization and regulation of gene expression remain poorly understood. In this study, four different types of Next-Generation Sequencing techniques, including dRNA-Seq, Term-Seq, RNA-Seq and ribosome profiling, were applied to S. avermitilis to determine transcription units of S. avermitilis at a genome-wide level and elucidate regulatory elements for transcriptional and translational control of individual transcription units. RESULT: By applying dRNA-Seq and Term-Seq to S. avermitilis MA-4680, a total of 2361 transcription start sites and 2017 transcript 3′-end positions were identified, respectively, leading to determination of 1601 transcription units encoded in S. avermitilis’ genome. Cataloguing the transcription units and integrated analysis of multiple high-throughput data types revealed the presence of diverse regulatory elements for gene expression, such as promoters, 5′-UTRs, terminators, 3′-UTRs and riboswitches. The conserved promoter motifs were identified from 2361 transcription start sites as 5′-TANNNT and 5′-BTGACN for the − 10 and − 35 elements, respectively. The − 35 element and spacer lengths between − 10 and − 35 elements were critical for transcriptional regulation of functionally distinct genes, suggesting the involvement of unique sigma factors. In addition, regulatory sequences recognized by antibiotic regulatory proteins were identified from the transcription start site information. Analysis of the 3′-end of RNA transcript revealed that stem structure formation is a major determinant for transcription termination of most transcription units. CONCLUSIONS: The transcription unit architecture elucidated from the transcripts’ boundary information provides insights for unique genetic regulatory mechanisms of S. avermitilis. Our findings will elevate S. avermitilis’ potential as a production host for a diverse set of secondary metabolites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08314-0. |
format | Online Article Text |
id | pubmed-8780764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87807642022-01-21 Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan BMC Genomics Research BACKGROUND: The gram-positive bacterium, Streptomyces avermitilis, holds industrial importance as the producer of avermectin, a widely used anthelmintic agent, and a heterologous expression host of secondary metabolite-biosynthetic gene clusters. Despite its industrial importance, S. avermitilis’ genome organization and regulation of gene expression remain poorly understood. In this study, four different types of Next-Generation Sequencing techniques, including dRNA-Seq, Term-Seq, RNA-Seq and ribosome profiling, were applied to S. avermitilis to determine transcription units of S. avermitilis at a genome-wide level and elucidate regulatory elements for transcriptional and translational control of individual transcription units. RESULT: By applying dRNA-Seq and Term-Seq to S. avermitilis MA-4680, a total of 2361 transcription start sites and 2017 transcript 3′-end positions were identified, respectively, leading to determination of 1601 transcription units encoded in S. avermitilis’ genome. Cataloguing the transcription units and integrated analysis of multiple high-throughput data types revealed the presence of diverse regulatory elements for gene expression, such as promoters, 5′-UTRs, terminators, 3′-UTRs and riboswitches. The conserved promoter motifs were identified from 2361 transcription start sites as 5′-TANNNT and 5′-BTGACN for the − 10 and − 35 elements, respectively. The − 35 element and spacer lengths between − 10 and − 35 elements were critical for transcriptional regulation of functionally distinct genes, suggesting the involvement of unique sigma factors. In addition, regulatory sequences recognized by antibiotic regulatory proteins were identified from the transcription start site information. Analysis of the 3′-end of RNA transcript revealed that stem structure formation is a major determinant for transcription termination of most transcription units. CONCLUSIONS: The transcription unit architecture elucidated from the transcripts’ boundary information provides insights for unique genetic regulatory mechanisms of S. avermitilis. Our findings will elevate S. avermitilis’ potential as a production host for a diverse set of secondary metabolites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08314-0. BioMed Central 2022-01-21 /pmc/articles/PMC8780764/ /pubmed/35062881 http://dx.doi.org/10.1186/s12864-022-08314-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lee, Yongjae Lee, Namil Hwang, Soonkyu Kim, Woori Cho, Suhyung Palsson, Bernhard O. Cho, Byung-Kwan Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title | Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title_full | Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title_fullStr | Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title_full_unstemmed | Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title_short | Genome-scale analysis of genetic regulatory elements in Streptomyces avermitilis MA-4680 using transcript boundary information |
title_sort | genome-scale analysis of genetic regulatory elements in streptomyces avermitilis ma-4680 using transcript boundary information |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780764/ https://www.ncbi.nlm.nih.gov/pubmed/35062881 http://dx.doi.org/10.1186/s12864-022-08314-0 |
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