The Yersinia pseudotuberculosis Cpx envelope stress system contributes to transcriptional activation of rovM.
Edvin J ThanikkalDharmender K GahlotJunfa LiuMarcus Fredriksson SundbomJyoti M GurungKristina RuuthMonika K FrancisIkenna R ObiKarl M ThompsonShiyun ChenPetra DerschMatthew S FrancisPublished in: Virulence (2019)
The Gram-negative enteropathogen Yersinia pseudotuberculosis possesses a number of regulatory systems that detect cell envelope damage caused by noxious extracytoplasmic stresses. The CpxA sensor kinase and CpxR response regulator two-component regulatory system is one such pathway. Active Cpx signalling upregulates various factors designed to repair and restore cell envelope integrity. Concomitantly, this pathway also down-regulates key determinants of virulence. In Yersinia, cpxA deletion accumulates high levels of phosphorylated CpxR (CpxR~P). Accumulated CpxR~P directly repressed rovA expression and this limited expression of virulence-associated processes. A second transcriptional regulator, RovM, also negatively regulates rovA expression in response to nutrient stress. Hence, this study aimed to determine if CpxR~P can influence rovA expression through control of RovM levels. We determined that the active CpxR~P isoform bound to the promoter of rovM and directly induced its expression, which naturally associated with a concurrent reduction in rovA expression. Site-directed mutagenesis of the CpxR~P binding sequence in the rovM promoter region desensitised rovM expression to CpxR~P. These data suggest that accumulated CpxR~P inversely manipulates the levels of two global transcriptional regulators, RovA and RovM, and this would be expected to have considerable influence on Yersinia pathophysiology and metabolism.
Keyphrases
- poor prognosis
- transcription factor
- gene expression
- binding protein
- long non coding rna
- escherichia coli
- squamous cell carcinoma
- pseudomonas aeruginosa
- single cell
- oxidative stress
- machine learning
- bone marrow
- mesenchymal stem cells
- stress induced
- deep learning
- multidrug resistant
- biofilm formation
- antimicrobial resistance
- artificial intelligence
- electronic health record
- heat stress
- heat shock protein
- dna binding