Similar Datasets
Project description:Escherichia coli use two-component systems (TCSs) to respond to environmental signals. TCSs affect gene expression and are parts of E. coli’s global transcriptional regulatory network (TRN). Here, we identified the regulons of five TCSs in E. coli MG1655: BaeSR and CpxAR, which were stimulated by ethanol stress, and KdpDE, PhoRB, and ZraSR, which were stimulated by potassium, phosphate, and zinc, respectively. We analyzed RNA-seq data using independent component analysis (ICA). ChIP-exo data was used to validate condition-specific target gene binding sites. Based on this data we (1) identify the target genes for each TCS; (2) show how the target genes are transcribed in response to stimulus; and (3) reveal novel relationships between TCSs, which indicate non-cognate inducers for various response regulators, such as BaeR to iron starvation, CpxR to phosphate limitation, and PhoB and ZraR to cell envelope stress. Our understanding of the TRN in E. coli is thus notably expanded.
2020-10-21 | GSE143855 | GEO
Project description:Escherichia coli use two-component systems (TCSs) to respond to environmental signals. TCSs affect gene expression and are parts of E. coli’s global transcriptional regulatory network (TRN). Here, we identified the regulons of five TCSs in E. coli MG1655: BaeSR and CpxAR, which were stimulated by ethanol stress, and KdpDE, PhoRB, and ZraSR, which were stimulated by potassium, phosphate, and zinc, respectively. We analyzed RNA-seq data using independent component analysis (ICA). ChIP-exo data was used to validate condition-specific target gene binding sites. Based on this data we (1) identify the target genes for each TCS; (2) show how the target genes are transcribed in response to stimulus; and (3) reveal novel relationships between TCSs, which indicate non-cognate inducers for various response regulators, such as BaeR to iron starvation, CpxR to phosphate limitation, and PhoB and ZraR to cell envelope stress. Our understanding of the TRN in E. coli is thus notably expanded.
2020-10-21 | GSE143851 | GEO
Project description:Validated transcriptional regulatory roles for five two-component systems in E. coli
| PRJNA601908 | ENA
Project description:Validated transcriptional regulatory roles for five two-component systems in E. coli (ChIP-exo dataset)
| PRJNA601898 | ENA
Project description:Validated transcriptional regulatory roles for five two-component systems in E. coli (RNA-seq dataset)
| PRJNA601909 | ENA
Project description:Escherichia coli uses two-component systems (TCSs) to respond to environmental signals. TCSs affect gene expression and are parts of E. coli's global transcriptional regulatory network (TRN). Here, we identified the regulons of five TCSs in E. coli MG1655: BaeSR and CpxAR, which were stimulated by ethanol stress; KdpDE and PhoRB, induced by limiting potassium and phosphate, respectively; and ZraSR, stimulated by zinc. We analyzed RNA-seq data using independent component analysis (ICA). ChIP-exo data were used to validate condition-specific target gene binding sites. Based on these data, we do the following: (i) identify the target genes for each TCS; (ii) show how the target genes are transcribed in response to stimulus; and (iii) reveal novel relationships between TCSs, which indicate noncognate inducers for various response regulators, such as BaeR to iron starvation, CpxR to phosphate limitation, and PhoB and ZraR to cell envelope stress. Our understanding of the TRN in E. coli is thus notably expanded.IMPORTANCEE. coli is a common commensal microbe found in the human gut microenvironment; however, some strains cause diseases like diarrhea, urinary tract infections, and meningitis. E. coli's two-component systems (TCSs) modulate target gene expression, especially related to virulence, pathogenesis, and antimicrobial peptides, in response to environmental stimuli. Thus, it is of utmost importance to understand the transcriptional regulation of TCSs to infer bacterial environmental adaptation and disease pathogenicity. Utilizing a combinatorial approach integrating RNA sequencing (RNA-seq), independent component analysis, chromatin immunoprecipitation coupled with exonuclease treatment (ChIP-exo), and data mining, we suggest five different modes of TCS transcriptional regulation. Our data further highlight noncognate inducers of TCSs, which emphasizes the cross-regulatory nature of TCSs in E. coli and suggests that TCSs may have a role beyond their cognate functionalities. In summary, these results can lead to an understanding of the metabolic capabilities of bacteria and correctly predict complex phenotype under diverse conditions, especially when further incorporated with genome-scale metabolic models.
| S-EPMC7657598 | biostudies-literature
Project description:Two-component systems regulate crucial cellular processes in microorganisms, and each comprises a homodimeric histidine kinase receptor and a cytoplasmic response regulator. Histidine kinases, often membrane associated, detect environmental input at sensor domains and propagate resulting signals to catalytic cytoplasmic transmitter domains. Recent studies on the great diversity of sensor domains reveal patterns of domain organization and biochemical properties that provide insight into mechanisms of signaling. Despite the enormous sequence variability found within sensor input domains, they fall into a relatively small number of discrete structural classes. Subtle rearrangements along a structurally labile dimer interface, in the form of possible sliding or rotational motions, are propagated from the sensor domain to the transmitter domain to modulate activity of the receptor.
| S-EPMC3078554 | biostudies-literature
Project description:In plants, several developmental processes are co-coordinated by cytokinins via phosphorylation dependent processes of the Two-Component System (TCS). An outstanding challenge is to track phosphorelay flow from cytokinin perception to its molecular outputs, of which gene activation plays a major role. To address this issue, a kinetic-based reporter system was expounded to track TCS phosphorelay activity in vivo that can distinguish between basal and cytokinin dependent effects of overexpressed TCS members. The TCS phosphorelay can be positively activated by cytokinin and inhibited by pharmaceuticals or naturally interfering components. In this case we took advantage of the phosphohistidine-phosphatase Arabidopsis Response Regulator (ARR) 22 and investigated its phosphocompetition with other TCS members in regulating promoters of ARR5 and WUS in Arabidopsis thaliana cell culture protoplasts. In congruency with the proposed function of ARR22, overexpression of ARR22 blocked the activation of all B-type ARRs in this study in a TCS dependent manner. Furthermore, this effect could not be mimicked by A-type response regulator overexpression or compensated by AHP overexpression. Compared to other reporter assays, ours mimicked effects previously observed only in transgenic plants for all of the TCS proteins studied, suggesting that it is possible to expose phosphocompetition. Thus, our approach can be used to investigate gene signaling networks involving the TCS by leveraging ARR22 as a TCS inhibitor along with B-type ARR overexpression.
| S-EPMC6370222 | biostudies-literature
Project description:A widespread mechanism of bacterial signaling occurs through two-component systems, comprised of a sensor histidine kinase (SHK) and a transcriptional response regulator (RR). The SHK activates RR by phosphorylation. The most common two-component system structure involves expression from a single operon, the transcription of which is activated by its own phosphorylated RR. The role of this feedback is poorly understood, but it has been associated with an overshooting kinetic response and with fast recovery of previous interrupted signaling events in different systems. Mathematical models show that overshoot is only attainable with negative feedback that also improves response time. Our models also predict that fast recovery of previous interrupted signaling depends on high accumulation of SHK and RR, which is more likely in a positive feedback regime. We use Monte Carlo sampling of the parameter space to explore the range of attainable model behaviors. The model predicts that the effective feedback sign can change from negative to positive depending on the signal level. Variations in two-component system architectures and parameters may therefore have evolved to optimize responses in different bacterial lifestyles. We propose a conceptual model where low signal conditions result in a responsive system with effectively negative feedback while high signal conditions with positive feedback favor persistence of system output.
| S-EPMC2820520 | biostudies-literature
Project description:Members of the Bacillus cereus group can adapt to a wide range of environmental challenges. In bacteria, these challenges are often translated into a transcriptional response via the cognate response regulators (RRs) of specialized two-component systems (TCSs). We have previously developed a phylogenetic footprinting approach that was successfully implemented to predict specific binding sites (operators) and target genes for the RRs of B. cereus and related species. In this study, this footprinting approach was integrated with transcriptome analyses of two B. cereus TCS deletion mutants, involving the TCSs YvrHG and YufLM. Comparison of mutant versus wild-type transcriptomes revealed that the respective TCSs were significantly active during the exponential growth phase in rich medium and that the footprinting-based predictions were accurate for the two TCSs. Moreover, the predicted specific operators were used in combination with the transcriptome data to guide the identification of more extended TCS regulons. This revealed new roles for the respective TCSs, including the participation in an intricate transcriptional network involved in antibiotic resistance, including the confirmed resistance to oxolinic acid (YvrHG) and the confirmed uptake and metabolism of fumarate and the repression of fermentative pathways (YufLM).
2014-12-31 | GSE18523 | GEO