Global Transcriptome Analysis Reveals Small RNAs Affecting Neisseria meningitidis Bacteremia
Year: 2015
Type: article
Abstract: Most bacterial small RNAs (sRNAs) are post-transcriptional regulators involved in adaptive responses, controlling gene expression by modulating translation or stability of their target mRNAs often in concert with the RNA chaperone Hfq. Neisseria meningitides, the leading cause of bacterial meningitis, is able to adapt to different host niches during human infection. However, only a few sRNAs and their functions have been fully described to date. Recently, transcriptional expression profiling of N. meningitides in human blood ex vivo revealed 91 differentially expressed putative sRNAs. Here we expanded this analysis by performing a global transcriptome study after exposure of N. meningitides to physiologically relevant stress signals (e.g. heat shock, oxidative stress, iron and carbon source limitation). and we identified putative sRNAs that were differentially expressed in vitro. A set of 98 putative sRNAs was obtained by analyzing transcriptome data and 8 new sRNAs were validated, both by Northern blot and by primer extension techniques. Deletion of selected sRNAs caused attenuation of N. meningitides infection in the in vivo infant rat model, leading to the identification of the first sRNAs influencing meningococcal bacteremia. Further analysis indicated that one of the sRNAs affecting bacteremia responded to carbon source availability through repression by a GntR-like transcriptional regulator. Both the sRNA and the GntR-like regulator are implicated in the control of gene expression from a common network involved in energy metabolism.
Source: PLoS ONE
Institutions: Novartis (Italy), University of Bologna
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,382
Awards: Aetiology of type 2 diabetes and related metabolic disorders, The Rothamsted Long-Term Experiments including Sample Archive and e-RA database, The International Centre for Language and Communicative Development, High Throughput Science - Investigating the genetic determinants of healthy ageing: the MRC EPIC-Norfolk study, Why do people from different cultures think differently? Explaining cultural variation in psychological traits, Modelling, analysis and simulation of spatial patterning on evolving surfaces, G7809880170
OpenAlex ID: W222557582
