No abstract

New deep RNA sequencing methodologies in transcriptome analyses identified a wealth of novel nonprotein-coding RNAs (npcRNAs). Recently, deep sequencing was used to delineate the small npcRNA transcriptome of the human pathogen Vibrio cholerae and 627 novel npcRNA candidates were identified. Here, we report the detection of 223 npcRNA candidates in V. cholerae by different cDNA library construction and conventional sequencing methods. Remarkably, only 39 of the candidates were common to both surveys. We therefore examined possible biasing influences in the transcriptome analyses. Key steps, including tailing and adapter ligations for generating cDNA, contribute qualitatively and quantitatively to the discrepancies between data sets. In addition, the state of 59-end phosphorylation influences the efficiency of adapter ligation and C-tailing at the 39-end of the RNA. Finally, our data indicate that the inclusion of sample-specific molecular identifier sequences during ligation steps also leads to biases in cDNA representation. In summary, even deep sequencing is unlikely to identify all RNA species, and caution should be used for meta-analyses among alternatively generated data sets.

We experimentally identified and characterized 97 novel, non-protein-coding RNA candidates (npcRNAs) from the human pathogen Salmonella enterica serovar Typhi (hereafter referred to as S. typhi). Three were specific to S. typhi, 22 were restricted to Salmonella species and 33 were differentially expressed during S. typhi growth. We also identified Salmonella Pathogenicity Island-derived npcRNAs that might be involved in regulatory mechanisms of virulence, antibiotic resistance and pathogenic specificity of S. typhi. An in-depth characterization of S. typhi StyR-3 npcRNA showed that it specifically interacts with RamR, the transcriptional repressor of the ramA gene, which is involved in the multidrug resistance (MDR) of Salmonella. StyR-3 interfered with RamR–DNA binding activity and thus potentially plays a role in regulating ramA gene expression, resulting in the MDR phenotype. Our study also revealed a large number of cis-encoded antisense npcRNA candidates, supporting previous observations of global sense–antisense regulatory networks in bacteria. Finally, at least six of the npcRNA candidates interacted with the S. typhi Hfq protein, supporting an important role of Hfq in npcRNA networks. This study points to novel functional npcRNA candidates potentially involved in various regulatory roles including the pathogenicity of S. typhi.

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Salmonellosis, a communicable disease caused by members of the Salmonella species, transmitted to humans through contaminated food or water. It is of paramount importance, to generate accurate detection methods for discriminating the various Salmonella species that cause severe infection in humans, including S. Typhi and S. Paratyphi A. Here, we formulated a strategy of detection and differentiation of salmonellosis by a multiplex polymerase chain reaction assay using S. Typhi non-protein coding RNA (sRNA) genes. With the designed sequences that specifically detect sRNA genes from S. Typhi and S. Paratyphi A, a detection limit of up to 10 pg was achieved. Moreover, in a stool-seeding experiment with S. Typhi and S. Paratyphi A, we have attained a respective detection limit of 15 and 1.5 CFU/mL. The designed strategy using sRNA genes shown here is comparatively sensitive and specific, suitable for clinical diagnosis and disease surveillance, and sRNAs represent an excellent molecular target for infectious disease.