Sequence-Based Analysis Uncovers an Abundance of Non-Coding RNA in the Total Transcriptome of Mycobacterium tuberculosis
RNA sequencing provides a new perspective on the genome of Mycobacterium tuberculosis by revealing an extensive presence of non-coding RNA, including long 5’ and 3’ untranslated regions, antisense transcripts, and intergenic small RNA (sRNA) molecules. More than a quarter of all sequence reads mapping outside of ribosomal RNA genes represent non-coding RNA, and the density of reads mapping to intergenic regions was more than two-fold higher than that mapping to annotated coding sequences. Selected sRNAs were found at increased abundance in stationary phase cultures and accumulated to remarkably high levels in the lungs of chronically infected mice, indicating a potential contribution to pathogenesis. The ability of tubercle bacilli to adapt to changing environments within the host is critical to their ability to cause disease and to persist during drug treatment; it is likely that novel post-transcriptional regulatory networks will play an important role in these adaptive responses.
Keywords
Mycobacterium tuberculosis, Transcriptome analysis, Gene expression, RNA sequencing, Messenger RNA, 5' UTR, Ribosomal RNA, DNA transcriptionItem Type | Dataset |
---|---|
Capture method | Experiment |
Date | 3 November 2011 |
Language(s) of written materials | English |
Creator(s) |
Arnvig, KB, Comas, I, Thomson, NR |
LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology (-2019) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 04 Mar 2019 11:53 |
Last Modified | 08 Oct 2024 13:42 |
Publisher | PLOS Pathogens |
Explore Further
- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
- PLOS Pathogens
No files available. Please consult associated links.
- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
- PLOS Pathogens