Dataset Information

A unique mode of cross regulation in a cell envelope stress signaling system [ChIP-seq]

ABSTRACT: A multi-layered structure known as the cell envelope separates the controlled interior of Gram-negative bacteria from a fluctuating physical and chemical environment. Transcription of genes that determine cell envelope structure and function is commonly controlled by a class of environmental regulators known as two-component signal transduction systems (TCS), which are comprised of 1) sensor histidine kinases and 2) response regulators. To discover TCS genes that contribute to cell envelope function in the intracellular mammalian pathogen, Brucella ovis, we subjected a comprehensive collection of non-essential TCS mutants to compounds that disrupt cell membranes and the peptidoglycan cell wall. Our screen led to the discovery of three TCS proteins with unusual regulatory properties that coordinately function to confer resistance to cell envelope stress and to support B. ovis replication in the intracellular niche. This tripartite regulatory system consists of the conserved cell envelope regulator, CenR, and a previously uncharacterized TCS, EssRS. The CenR and EssR response regulators bind a shared set of sites on the B. ovis chromosomes to control transcription of an overlapping set of genes with cell envelope functions. CenR directly interacts with EssR and functions to stimulate phosphoryl transfer from the EssS kinase to EssR and control steady-state levels of EssR protein in the cell via a post-transcriptional mechanism. Our data provide evidence for a new mode of TCS cross-regulation in which a non-cognate response regulator both regulates activity and influences cellular levels of a cognate TCS system.

ORGANISM(S): Brucella ovis

PROVIDER: GSE229120 | GEO | 2023/05/30

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Brucella dynamically engage macrophages while trafficking to an intracellular replicative niche as macrophages, the first line of innate host defense, attempt to eliminate organisms. Brucella melitensis, B. neotomae, and B. ovis are highly homologous, yet exhibit a range of host pathogenicity and specificity. RAW 264.7 macrophages infected with B. melitensis, and B. ovis exhibit divergent patterns of bacterial persistence and clearance; conversely, B. melitensis and B. neotomae exhibit similar patterns of infection. Evaluating early macrophage interaction with Brucella spp. allows discovery of host entry and intracellular translocation mechanisms, rather than bacterial replication. Microarray analysis of macrophage transcript levels following a 4 hr Brucella spp. infection revealed 130 probe sets altered compared to uninfected macrophages; specifically, 72 probe sets were increased and 58 probe sets were decreased with any Brucella spp. Interestingly, much of the inflammatory response was not regulated by the number of Brucella gaining intracellular entry, as macrophage transcript levels were often equivalent among B. melitensis, B. ovis, and B. neotomae infections. An additional 33 probe sets were identified with altered macrophage transcript levels among Brucella spp. infections that may correlate with species specific host defenses and intracellular survival. Gene ontological categorization unveiled genes altered among species are involved in cell growth and maintenance, response to external stimuli, transcription regulation, transporter activity, endopeptidase inhibitor activity and G-protein mediated signaling. Host transcript profiles provide a foundation to understand variations in Brucella spp. infections, while structure of the macrophage response and intracellular niche of Brucella spp. will be revealed through piecewise consideration of host signaling pathways. Keywords: Macrophage, intracellular pathogen, Brucella melitensis, Brucella neotomae, Brucella ovis, inflammatory immune response, species specificity

Project description:S. aureus possesses 16 two-component systems (TCS), two of which (GraRS & NsaRS) belong to the intramembrane-sensing histidine kinase (IM-HK) family, conserved within the firmicutes. NsaRS has recently been documented as being important for nisin-resistance in S. aureus. In this study we present a detailed characterization of NsaRS and reveal that, as with other IM-HK TCS, it responds to disruptions in cell-wall stability. Analysis using a lacZ reporter-gene fusion demonstrated that nsaRS expression is upregulated by a variety of cell-wall damaging antibiotics, including Phosphomycin, Ampicillin, Nisin and Penicillin G. Additionally; we reveal that NsaRS regulates a downstream transporter, NsaAB, during nisin-induced stress. NsaS mutants also display a 200-fold decreased ability to develop resistance to the cell-wall targetting antibiotic bacitracin. Microarray analysis reveals the transcription of 245 genes is altered in a nsaS mutant, with the vast majority down-regulated. Included within this list are genes involved in transport, drug-resistance, cell-envelope synthesis, transcriptional regulation, amino acid metabolism and virulence. Using ICP-MS we observed a decrease in intracellular divalent metal ions in an nsaS mutant when grown under low affinity conditions. Characterization of cells using electron microscopy reveals that nsaS mutants have alterations in both cell-wall and cell-envelope structure. Finally, a variety of virulence related phenotypes are impaired in nsaS mutants, including biofilm formation, resistance to killing by human macrophages and survival in whole human blood. Thus NsaRS is important in sensing cell-wall instability in S. aureus, and functions to reprogram gene expression to modify cell-envelope architecture, facilitating adaptation and survival. We did four hybridizations for this experiment, including a biological replicate and a dye-swap experiment for each replicate to account for dye-bias. Spots flagged as empty or bad were excluded and the raw data from each slide was normalized using LOWESS method, with background correction. The data from the replicates were combined (using the median value) and a one-sample t-test was performed. The volcano plot was used with a fold change cut-off of >= 2 and a p-value of <0.05, to filter the genes that were differentially expressed.

Dataset Information

A unique mode of cross regulation in a cell envelope stress signaling system [ChIP-seq]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets