The Impact of 18 Ancestral and Horizontally-Acquired Regulatory Proteins upon the Transcriptome and sRNA Landscape of Salmonella enterica serovar Typhimurium.
Aoife M ColganCarsten KrögerMédéric DiardWolf-Dietrich HardtJosé L PuenteSathesh K SivasankaranKarsten HokampJay C D HintonPublished in: PLoS genetics (2016)
We know a great deal about the genes used by the model pathogen Salmonella enterica serovar Typhimurium to cause disease, but less about global gene regulation. New tools for studying transcripts at the single nucleotide level now offer an unparalleled opportunity to understand the bacterial transcriptome, and expression of the small RNAs (sRNA) and coding genes responsible for the establishment of infection. Here, we define the transcriptomes of 18 mutants lacking virulence-related global regulatory systems that modulate the expression of the SPI1 and SPI2 Type 3 secretion systems of S. Typhimurium strain 4/74. Using infection-relevant growth conditions, we identified a total of 1257 coding genes that are controlled by one or more regulatory system, including a sub-class of genes that reflect a new level of cross-talk between SPI1 and SPI2. We directly compared the roles played by the major transcriptional regulators in the expression of sRNAs, and discovered that the RpoS (σ38) sigma factor modulates the expression of 23% of sRNAs, many more than other regulatory systems. The impact of the RNA chaperone Hfq upon the steady state levels of 280 sRNA transcripts is described, and we found 13 sRNAs that are co-regulated with SPI1 and SPI2 virulence genes. We report the first example of an sRNA, STnc1480, that is subject to silencing by H-NS and subsequent counter-silencing by PhoP and SlyA. The data for these 18 regulatory systems is now available to the bacterial research community in a user-friendly online resource, SalComRegulon.
Keyphrases
- transcription factor
- genome wide
- poor prognosis
- genome wide identification
- bioinformatics analysis
- single cell
- gene expression
- binding protein
- escherichia coli
- pseudomonas aeruginosa
- listeria monocytogenes
- healthcare
- staphylococcus aureus
- dna methylation
- long non coding rna
- genome wide analysis
- rna seq
- mental health
- oxidative stress
- electronic health record
- antimicrobial resistance
- social media
- machine learning
- zika virus
- dengue virus