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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...

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Autores principales: Seo, Joo-Hyun, Hong, Jay Sung-Joong, Kim, Donghyuk, Cho, Byung-Kwan, Huang, Tzu-Wen, Tsai, Shih-Feng, Palsson, Bernhard O, Charusanti, Pep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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