Regulation of pathogen metabolism by small RNA

On a stake-out: Mycobacterial small RNA identification and regulation

Persistence of mycobacteria in the hostile environment of human macrophage is pivotal for its successful pathogenesis. Rapid adaptation to diverse stresses is the key aspect for their survival in the host cells. A range of heterogeneous mechanisms operate in bacteria to retaliate stress conditions. Small RNAs (sRNA) have been implicated in many of those mechanisms in either a single or multiple regulatory networks to post-transcriptionally modulate bacterial gene expression. Although small RNA profiling in mycobacteria by advanced technologies like deep sequencing, tilling microarray etc. have identified hundreds of sRNA, however, a handful of those small RNAs have been unearthed with precise regulatory mechanism. Extensive investigations on sRNA-mediated gene regulations in eubacteria like Escherichia coli revealed the existence of a plethora of distinctive sRNA mechanisms e.g. base pairing, protein sequestration, RNA decoy etc. Increasing studies on mycobacterial sRNA also discovered several eccentric mechanisms where sRNAs act at the posttranscriptional stage to either activate or repress target gene expression that lead to promote mycobacterial survival in stresses. Several intrinsic features like high GC content, absence of any homologue of abundant RNA chaperones, Hfq and ProQ, isolate sRNA mechanisms of mycobacteria from that of other bacteria. An insightful approach has been taken in this review to describe sRNA identification and its regulations in mycobacterial species especially in Mycobacterium tuberculosis.

Regulatory RNA in Mycobacterium tuberculosis, back to basics

Since the turn of the millenium, RNA-based control of gene expression has added an extra dimension to the central dogma of molecular biology. Still, the roles of Mycobacterium tuberculosis regulatory RNAs and the proteins that facilitate their functions remain elusive, although there can be no doubt that RNA biology plays a central role in the baterium's adaptation to its many host environments. In this review, we have presented examples from model organisms and from M. tuberculosis to showcase the abundance and versatility of regulatory RNA, in order to emphasise the importance of these 'fine-tuners' of gene expression.

RNA-Seq analysis of Mycobacterium avium non-coding transcriptome

Deep sequencing was implemented to study the transcriptional landscape of Mycobacterium avium. High-resolution transcriptome analysis identified the transcription start points for 652 genes. One third of these genes represented leaderless transcripts, whereas the rest of the transcripts had 5' UTRs with the mean length of 83 nt. In addition, the 5' UTRs of 6 genes contained SAM-IV and Ykok types of riboswitches. 87 antisense RNAs and 10 intergenic small RNAs were mapped. 6 intergenic small RNAs, including 4.5S RNA and rnpB, were transcribed at extremely high levels. Although several intergenic sRNAs are conserved in M. avium and M. tuberculosis, both of these species have unique intergenic sRNAs. Moreover, we demonstrated that even conserved small RNAs are regulated differently in these species. Different sets of intergenic sRNAs may underlie differences in physiology between conditionally pathogenic M. avium and highly specialized pathogen M. tuberculosis.

Definition and annotation of (myco)bacterial non-coding RNA

RNA in bacteria may be broadly classified into coding and non-coding types. The prior, also known as messenger RNA, encode proteins as their final product. The non-coding RNA include all RNAs that are not translated into a protein. Examples of extensively studied and therefore prominent non-coding RNAs include rRNA, tRNA, tmRNA, whose designations reflect the functions performed by these RNAs. Discoveries of non-coding RNAs in mycobacteria have been reported in the recent years. At this early stage of this discipline of mycobacterial research, there is an opportunity for the scientific community to establish a consistent, systematic and objective approach to annotation of these RNAs. We are providing recommendations for this systematic annotation that we hope will be adopted by the mycobacterial research community. These may also serve as templates for annotation of non-coding RNAs in other bacteria.

Non-coding RNA and its potential role in Mycobacterium tuberculosis pathogenesis

It is estimated that one third of the human population is infected with Mycobacterium tuberculosis. Efforts to understand the molecular basis of its gene regulation have been focused on identification of protein encoding genes and regulons implicated in pathogenesis. Recently, a number of studies have described the identification of several non-coding RNAs that are likely to contribute significantly to the regulatory networks responsible for adaptation and virulence in M. tuberculosis. We have reviewed emerging information on the presence and abundance of different types of non-coding RNA in M. tuberculosis and consider their potential contribution to the adaptive responses that underlie disease pathogenesis.

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.