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Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features
BACKGROUND: The increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae is...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3536570/ https://www.ncbi.nlm.nih.gov/pubmed/23194155 http://dx.doi.org/10.1186/1471-2164-13-679 |
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author | Seo, Joo-Hyun Hong, Jay Sung-Joong Kim, Donghyuk Cho, Byung-Kwan Huang, Tzu-Wen Tsai, Shih-Feng Palsson, Bernhard O Charusanti, Pep |
author_facet | Seo, Joo-Hyun Hong, Jay Sung-Joong Kim, Donghyuk Cho, Byung-Kwan Huang, Tzu-Wen Tsai, Shih-Feng Palsson, Bernhard O Charusanti, Pep |
author_sort | Seo, Joo-Hyun |
collection | PubMed |
description | BACKGROUND: The increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae isolates, but sequence information alone does not provide important structural and operational information for its genome. RESULTS: Here we take a systems biology approach to annotate the K. pneumoniae MGH 78578 genome at the structural and operational levels. Through the acquisition and simultaneous analysis of multiple sample-matched –omics data sets from two growth conditions, we detected 2677, 1227, and 1066 binding sites for RNA polymerase, RpoD, and RpoS, respectively, 3660 RNA polymerase-guided transcript segments, and 3585 transcription start sites throughout the genome. Moreover, analysis of the transcription start site data identified 83 probable leaderless mRNAs, while analysis of unannotated transcripts suggested the presence of 119 putative open reading frames, 15 small RNAs, and 185 antisense transcripts that are not currently annotated. CONCLUSIONS: These findings highlight the strengths of systems biology approaches to the refinement of sequence-based annotations, and to provide new insight into fundamental genome-level biology for this important human pathogen. |
format | Online Article Text |
id | pubmed-3536570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35365702013-01-08 Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features Seo, Joo-Hyun Hong, Jay Sung-Joong Kim, Donghyuk Cho, Byung-Kwan Huang, Tzu-Wen Tsai, Shih-Feng Palsson, Bernhard O Charusanti, Pep BMC Genomics Research Article BACKGROUND: The increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae isolates, but sequence information alone does not provide important structural and operational information for its genome. RESULTS: Here we take a systems biology approach to annotate the K. pneumoniae MGH 78578 genome at the structural and operational levels. Through the acquisition and simultaneous analysis of multiple sample-matched –omics data sets from two growth conditions, we detected 2677, 1227, and 1066 binding sites for RNA polymerase, RpoD, and RpoS, respectively, 3660 RNA polymerase-guided transcript segments, and 3585 transcription start sites throughout the genome. Moreover, analysis of the transcription start site data identified 83 probable leaderless mRNAs, while analysis of unannotated transcripts suggested the presence of 119 putative open reading frames, 15 small RNAs, and 185 antisense transcripts that are not currently annotated. CONCLUSIONS: These findings highlight the strengths of systems biology approaches to the refinement of sequence-based annotations, and to provide new insight into fundamental genome-level biology for this important human pathogen. BioMed Central 2012-11-29 /pmc/articles/PMC3536570/ /pubmed/23194155 http://dx.doi.org/10.1186/1471-2164-13-679 Text en Copyright ©2012 Seo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Seo, Joo-Hyun Hong, Jay Sung-Joong Kim, Donghyuk Cho, Byung-Kwan Huang, Tzu-Wen Tsai, Shih-Feng Palsson, Bernhard O Charusanti, Pep Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title | Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title_full | Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title_fullStr | Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title_full_unstemmed | Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title_short | Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features |
title_sort | multiple-omic data analysis of klebsiella pneumoniae mgh 78578 reveals its transcriptional architecture and regulatory features |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3536570/ https://www.ncbi.nlm.nih.gov/pubmed/23194155 http://dx.doi.org/10.1186/1471-2164-13-679 |
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