Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq for polyphenols treated Pseudomonas syringae

ABSTRACT: Bacteria use a variety of mechanisms, such as two‐component regulatory systems (TCSs), to rapidly sense and respond to distinct conditions and signals in their host organisms. For example, a type III secretion system (T3SS) is the key determinant of the virulence of the model plant pathogen Pseudomonas syringae and contains the TCS RhpRS as a key regulator. However, the signal sensed by RhpRS remains unknown. We found that RhpRS directly senses plant-generated polyphenols and responds by switching off P. syringae T3SS via crosstalk with alternative histidine kinases. Through a chemical screen, we identified three natural polyphenols (tannic acid, 1,2,3,4,6-pentagalloylglucose and epigallocatechin gallate) that induced the expression of the rhpRS operon in a RhpS-dependent manner.

ORGANISM(S): Pseudomonas savastanoi pv. phaseolicola 1448A root metagenome

PROVIDER: GSE160492 | GEO | 2021/09/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

ChIP-seq and RNA-seq for TCSs in Pseudomonas syringae

Project description:Bacteria relies on two-component systems (TCSs) to respond to a wide range of stimuli or environmental cues for their survival and virulence. However, the functions and synergistic actions of TCSs in genomic level remains unclear. Here, in model phytopathogen Pseudomonas syringae, by integrating multiomics data, we developed a network-based PSTCSome (Pseudomonas syringae two-component systems regulome) to identify functions and crosstalk among global TCSs under either virulence suppressing (King’s B medium, KB) or activating conditions (minimal medium, MM). Transcriptome profiling identifies 2,099 differentially expressed genes (DEGs) in KB and 1,250 DEGs in MM, while ChIP-seq identifies 1,628 target genes across the whole genome. The multiomics results are applied to perform not only gene ontology (GO) analysis to detect the biological processes that TCSs involved in, but also subnetworks and co-expression analysis of 8 virulence-related pathways to decipher the TCSs regulated pathogenic behaviors. The following phenotypic experiments newly confirmed 8 TCSs that regulates type III secretion system (T3SS) (PSPPH_0253, PSPPH_2606, PSPPH_4416, and PSPPH_4451) and surface attachment (PSPPH_0253, PSPPH_3041, PSPPH_3473, PSPPH_3736, PSPPH_4001). We then compute 259 functional genes in KB and 161 in MM for those cluster TCSs. Analysis of cluster TCSs regulons led to the identification of either novel functions or 2 master regulatory TCSs (RhpS/RhpR and PSPPH_4827/4828) toward virulence. Our results show that TCSs in P. syringae dynamically adjust their regulatory networks by sensing the external environment, and then switch bacteria between pathogenic and non-pathogenic states in a sophisticated way. Furthermore, we present an online platform of PSTCSome to facilitate updating, network visualization and user-customized analyses.

2022-10-04 | GSE148104 | GEO

Pseudomonas syringae Virulence Regulatory Network construction

Project description:Pseudomonas syringae, a Gram-negative plant pathogen, infects more than 50 crops with its type III secretion system (T3SS) and causes severe economic losses around the world. Although the mechanisms of virulence-associated regulators of P. syringae T3SS have been studied for decades, the crosstalk and network underlying these regulators are still elusive. Previously, we have individually studied a group of T3SS regulators, including AefR, HrpS, and RhpRS. In the present study, we found 4 new T3SS regulator genes (envZ, ompR, tsiS and phoQ) via transposon-mediated mutagenesis. Two-component systems EnvZ and TsiS natively regulate T3SS. In order to uncover the crosstalk between 16 virulence-associated regulators, (including AefR, AlgU, CvsR, GacA, HrpL, HrpR, HrpS, MgrA, OmpR, PhoP, PilR, PsrA, RhpR, RpoN, TsiR and Vfr) in P. syringae, we mapped an intricate network named PSVnet (Pseudomonas syringae Virulence Regulatory Network) by combining differentially expression genes in RNA-seq and binding loci in ChIP-seq of all regulators.

2021-03-29 | GSE138204 | GEO

Whole-transcriptome microarray analysis of Pseudomonas syringae pv. actinidiae CRAFRU 8.43 and Pseudomonas syringae pv. tomato DC3000 grown in apoplast-like conditions supplemented or not with kiwifruit or tomato extract

Project description:Purpose: The outcome of host–pathogen interactions is thought to reflect the offensive and defensive capabilities of both players. When plants interact with Pseudomonas syringae, several well-characterized virulence factors contribute to early bacterial pathogenicity, including the type III secretion system (T3SS), which must be activated by signals from the plant and environment to allow the secretion of virulence effectors. The manner in which these signals regulate T3SS activity is still unclear. Conlusion: the analysis revealed that the perception of plant signals from kiwifruit or tomato extracts anticipates T3SS expression in P. syringae pv. actinidiae compared to apoplast-like conditions

2022-08-25 | GSE211939 | GEO

RNA-seq for polyphenols treated Pseudomonas syringae

Project description:RNA-seq for polyphenols treated Pseudomonas syringae

| PRJNA673390 | ENA

Transcriptomic analysis of the RNA-binding RsmA proteins in Pseudomonas syringae

Project description:This RNA-seq analysis examined the global effect of the RNA binding RsmA proteins in P. syringae under the T3SS-inducing condition and in KB medium. The results showed differential expression of more than 50% genes in the genome, which include significant down-regulation of T3SS genes.

2021-03-16 | GSE162091 | GEO

Molecular mechanisms of two-component system RhpRS regulating type III secretion system in Pseudomonas syringae

Project description:Pseudomonas syringae uses two-component system RhpRS to regulate the expression of type III secretion system (T3SS) genes and bacterial virulence. However, the molecular mechanism and the regulons of RhpRS have yet to be fully elucidated. Here we show that RhpS functions as an autokinase, an RhpR kinase, and a P-RhpR phosphatase. RhpR can also be phosphorylated by small phosphodonor acetyl phosphate. A specific RhpR-binding site containing an inverted repeat (IR) motif GTATC-N6-GATAC, was mapped to its own promoter by DNase I footprint analysis. Electrophoretic mobility shift assay (EMSA) indicated that P-RhpR has higher binding activity than RhpR to the IR motif. To identify additional targets of RhpR in P. syringae, we performed chromatin immunoprecipitation followed by high-throughput DNA sequencing (ChIP-seq), which detected 167 enriched loci including the hrpR promoter, indicating the direct regulation of T3SS cascade genes by RhpR. Genome-wide microarray analysis showed that, besides the T3SS cascade genes, RhpR differentially regulates a large set of genes of various functions in response to different growth conditions. Together, these results suggested that RhpRS is a global regulator that allows P. syringae to sense and respond to environmental changes to coordinate the T3SS and many other biological processes. ChIP-seq analysis of RhpR

2014-10-01 | E-GEOD-58533 | biostudies-arrayexpress

Comparative transcriptomic analysis of global gene expression mediated by (p)ppGpp reveals common regulatory networks in Pseudomonas syringae

Project description:This RNA-seq analysis examined the global effect of (p)ppGpp in P. syringae under the T3SS-inducing condition. The (p)ppGpp mutant showed differential expression of more than 30% genes in the genome, which include significant down-regulation of T3SS genes and those required for cell growth and viability.

2020-03-23 | GSE143325 | GEO

Molecular mechanisms of two-component system RhpRS regulating type III secretion system in Pseudomonas syringae

2014-10-01 | GSE58533 | GEO

Plant signals anticipate the induction of the type III secretion system in Pseudomonas syringae 2 pv. actinidiae facilitating efficient temperature-dependent effector translocation

Project description:Disease resistance in plants depends on a molecular dialogue with microbes that involves many known chemical effectors, but the time course of the interaction and the influence of the environment are largely unknown. The outcome of host–pathogen interactions is thought to reflect the offensive and defensive capabilities of both players. When plants interact with Pseudomonas syringae, several well-characterized virulence factors contribute to early bacterial pathogenicity, including the type III secretion system (T3SS), which must be activated by signals from the plant and environment to allow the secretion of virulence effectors. The manner in which these signals regulate T3SS activity is still unclear. Here, we strengthen the paradigm of the plant–pathogen molecular dialogue by addressing overlooked details concerning the timing of interactions, specifically the role of plant signals and temperature on the regulation of bacterial virulence during the first few hours of the interaction. Whole-genome expression profiling after 1 h revealed that the perception of plant signals from kiwifruit or tomato extracts anticipates T3SS expression in P. syringae pv. actinidiae compared to apoplast-like conditions, facilitating more efficient effector transport in planta, as revealed by the induction of a temperature-dependent hypersensitive response in the non-host plant Arabidopsis thaliana Col-0. Our results show that, in the arms race between plants and bacteria, the temperature-dependent timing of bacterial virulence versus the induction of plant defenses is probably one of the fundamental parameters governing the outcome of the interaction.

2022-10-12 | PXD036021 | Pride

The Pleiotropic Effects of c-di-GMP content in Pseudomonas syringae

Project description:Although the ubiquitous bacterial secondary messenger cyclic diguanylate (c-di-GMP) plays important roles in various cellular functions including the formation of biofilm in a wide range of bacteria, its function in model plant pathogen Pseudomonas syringae is largely elusive. In order to test this in P. syringae, we overexpressed a diguanylate cyclase (YedQ) and a phosphodiesterase (YhjH) that are originally from Escherichia coli, resulting in high and low c-di-GMP levels in P. syringae, respectively. Through performing genome-wide RNA sequencing of these two strains, we found that c-di-GMP regulates (i) fliN, fliE and flhA genes, which are associated with flagellar assembly, (ii) alg8 and alg44, which are related to exopolysaccaride biosynthesis pathway, (iii) pvdE, pvdP and pvsA genes, related to siderophore biosynthesis pathway, and (iv) sodA, which is a superoxide dismutase. In particular, we identified five genes sensitive to elevated c-di-GMP level and constructed five luciferase-based reporters that effectively respond to intracellular level of c-di-GMP in P. syringae, which can be used to measure c-di-GMP levels in vivo in the future. Based on the RNA-seq results, phenotypic assays confirmed that c-di-GMP regulated many important biological pathways in P. syringae, such as negative regulation of type III secretion system (T3SS) and motility as well as positive regulation of EPS production, siderophore production and oxidative stress resistance. Taken together, the present study demonstrated that c-di-GMP is closely related to virulence and stress response in P. syringae, suggesting that tuning its level can be a new strategy to protect plants from the attack of this pathogen in the future.

2019-03-31 | GSE120889 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data