Sequence-Based Analysis Uncovers an Abundance of Non-Coding RNA in the Total Transcriptome of Mycobacterium tuberculosis

Arnvig, KB, Comas, I, Thomson, NR, Houghton, J, Boshoff, HI, Croucher, NJ, Rose, G, Perkins, TT, Parkhill, J, Dougan, G and Young, DB. 2011. Sequence-Based Analysis Uncovers an Abundance of Non-Coding RNA in the Total Transcriptome of Mycobacterium tuberculosis. [Online]. PLOS Pathogens. Available from: https://doi.org/10.1371/journal.ppat.1002342.s008

Arnvig, KB, Comas, I, Thomson, NR, Houghton, J, Boshoff, HI, Croucher, NJ, Rose, G, Perkins, TT, Parkhill, J, Dougan, G and Young, DB. Sequence-Based Analysis Uncovers an Abundance of Non-Coding RNA in the Total Transcriptome of Mycobacterium tuberculosis [Internet]. PLOS Pathogens; 2011. Available from: https://doi.org/10.1371/journal.ppat.1002342.s008

Arnvig, KB, Comas, I, Thomson, NR, Houghton, J, Boshoff, HI, Croucher, NJ, Rose, G, Perkins, TT, Parkhill, J, Dougan, G and Young, DB (2011). Sequence-Based Analysis Uncovers an Abundance of Non-Coding RNA in the Total Transcriptome of Mycobacterium tuberculosis. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1002342.s008

Description

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.

Methods

Data capture method	Experiment
Date (Date published in a 3rd party system)	3 November 2011
Language(s) of written materials	English

People & Groups

Data Creators	Arnvig, KB, Comas, I, Thomson, NR, Houghton, J, Boshoff, HI, Croucher, NJ, Rose, G, Perkins, TT, Parkhill, J, Dougan, G and Young, DB
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