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Transcriptome Landscape of Mycobacterium smegmatis
The non-pathogenic bacterium Mycobacterium smegmatis mc(2)155 has been widely used as a model organism in mycobacterial research, yet a detailed study about its transcription landscape remains to be established. Here we report the transcriptome, expression profiles and transcriptional structures thr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741613/ https://www.ncbi.nlm.nih.gov/pubmed/29326668 http://dx.doi.org/10.3389/fmicb.2017.02505 |
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author | Li, Xinfeng Mei, Han Chen, Fang Tang, Qing Yu, Zhaoqing Cao, Xiaojian Andongma, Binda T. Chou, Shan-Ho He, Jin |
author_facet | Li, Xinfeng Mei, Han Chen, Fang Tang, Qing Yu, Zhaoqing Cao, Xiaojian Andongma, Binda T. Chou, Shan-Ho He, Jin |
author_sort | Li, Xinfeng |
collection | PubMed |
description | The non-pathogenic bacterium Mycobacterium smegmatis mc(2)155 has been widely used as a model organism in mycobacterial research, yet a detailed study about its transcription landscape remains to be established. Here we report the transcriptome, expression profiles and transcriptional structures through growth-phase-dependent RNA sequencing (RNA-seq) as well as other related experiments. We found: (1) 2,139 transcriptional start sites (TSSs) in the genome-wide scale, of which eight samples were randomly selected and further verified by 5′-RACE; (2) 2,233 independent monocistronic or polycistronic mRNAs in the transcriptome within the operon/sub-operon structures which are classified into five groups; (3) 47.50% (1016/2139) genes were transcribed into leaderless mRNAs, with the TSSs of 41.3% (883/2139) mRNAs overlapping with the first base of the annotated start codon. Initial amino acids of MSMEG_4921 and MSMEG_6422 proteins were identified by Edman degradation, indicating the presence of distinctive widespread leaderless features in M. smegmatis mc(2)155. (4) 150 genes with potentially wrong structural annotation, of which 124 proposed genes have been corrected; (5) eight highly active promoters, with their activities further determined by β-galactosidase assays. These data integrated the transcriptional landscape to genome information of model organism mc(2)155 and lay a solid foundation for further works in Mycobacterium. |
format | Online Article Text |
id | pubmed-5741613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57416132018-01-11 Transcriptome Landscape of Mycobacterium smegmatis Li, Xinfeng Mei, Han Chen, Fang Tang, Qing Yu, Zhaoqing Cao, Xiaojian Andongma, Binda T. Chou, Shan-Ho He, Jin Front Microbiol Microbiology The non-pathogenic bacterium Mycobacterium smegmatis mc(2)155 has been widely used as a model organism in mycobacterial research, yet a detailed study about its transcription landscape remains to be established. Here we report the transcriptome, expression profiles and transcriptional structures through growth-phase-dependent RNA sequencing (RNA-seq) as well as other related experiments. We found: (1) 2,139 transcriptional start sites (TSSs) in the genome-wide scale, of which eight samples were randomly selected and further verified by 5′-RACE; (2) 2,233 independent monocistronic or polycistronic mRNAs in the transcriptome within the operon/sub-operon structures which are classified into five groups; (3) 47.50% (1016/2139) genes were transcribed into leaderless mRNAs, with the TSSs of 41.3% (883/2139) mRNAs overlapping with the first base of the annotated start codon. Initial amino acids of MSMEG_4921 and MSMEG_6422 proteins were identified by Edman degradation, indicating the presence of distinctive widespread leaderless features in M. smegmatis mc(2)155. (4) 150 genes with potentially wrong structural annotation, of which 124 proposed genes have been corrected; (5) eight highly active promoters, with their activities further determined by β-galactosidase assays. These data integrated the transcriptional landscape to genome information of model organism mc(2)155 and lay a solid foundation for further works in Mycobacterium. Frontiers Media S.A. 2017-12-18 /pmc/articles/PMC5741613/ /pubmed/29326668 http://dx.doi.org/10.3389/fmicb.2017.02505 Text en Copyright © 2017 Li, Mei, Chen, Tang, Yu, Cao, Andongma, Chou and He. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Li, Xinfeng Mei, Han Chen, Fang Tang, Qing Yu, Zhaoqing Cao, Xiaojian Andongma, Binda T. Chou, Shan-Ho He, Jin Transcriptome Landscape of Mycobacterium smegmatis |
title | Transcriptome Landscape of Mycobacterium smegmatis |
title_full | Transcriptome Landscape of Mycobacterium smegmatis |
title_fullStr | Transcriptome Landscape of Mycobacterium smegmatis |
title_full_unstemmed | Transcriptome Landscape of Mycobacterium smegmatis |
title_short | Transcriptome Landscape of Mycobacterium smegmatis |
title_sort | transcriptome landscape of mycobacterium smegmatis |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741613/ https://www.ncbi.nlm.nih.gov/pubmed/29326668 http://dx.doi.org/10.3389/fmicb.2017.02505 |
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