Pseudomonas syringae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA12337 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ACXZ01.dat.gz | Other | |||
| ACXZ01.fasta.gz | Fasta.gz | |||
| ACXZ01.master.dat | Other | |||
| ADGB01.dat.gz | Other |
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Project description: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.
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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.
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Project description:Plant response to pathogen infection varies within a leaf, yet this heterogeneity is not well resolved. We exposed Arabidopsis to Pseudomonas syringae or mock treatment and profiled the transcriptomes of 11,000 individual cells using single-cell RNA sequencing. Integrative analysis of cell populations from Pseudomonas and mock inoculated leaves identified five distinct pathogen responsive cell clusters exhibiting transcriptional responses ranging from immunity to susceptibility. Pseudotime analyses through pathogen infection revealed a continuum of disease progression from an immune to susceptible state. Confocal imaging of promoter reporter lines for pathogen responsive cell clusters visualized immune activated cell clusters surrounding substomatal cavities colonized by bacteria, suggesting immune clusters are sites of early pathogen invasion. Susceptibility cell clusters exhibited more general localization and were highly induced at later stages of infection. Overall, our work uncovers cellular heterogeneity within an infected leaf and provides unique insight into plant differential response to infection at a single-cell level.
2022-10-07 | GSE213622 | GEO
Project description:Plant response to pathogen infection varies within a leaf, yet this heterogeneity is not well resolved. We exposed Arabidopsis to Pseudomonas syringae or mock treatment and profiled the transcriptomes of 11,000 individual cells using single-cell RNA sequencing. Integrative analysis of cell populations from Pseudomonas and mock inoculated leaves identified five distinct pathogen responsive cell clusters exhibiting transcriptional responses ranging from immunity to susceptibility. Pseudotime analyses through pathogen infection revealed a continuum of disease progression from an immune to susceptible state. Confocal imaging of promoter reporter lines for pathogen responsive cell clusters visualized immune activated cell clusters surrounding substomatal cavities colonized by bacteria, suggesting immune clusters are sites of early pathogen invasion. Susceptibility cell clusters exhibited more general localization and were highly induced at later stages of infection. Overall, our work uncovers cellular heterogeneity within an infected leaf and provides unique insight into plant differential response to infection at a single-cell level.
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Project description:In order to protect themselves from pathogens, plants activate a battery of defense pathways, many of which involve changes in gene expression. We are interested in identifying plant genes that are differentially expressed in response to pathogen exposure, with the ultimate goal of studying the roles of these genes in plant defense. Keywords: disease response
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Project description:Effector-Triggered Immunity (ETI) and Pattern-Triggered Immunity (PTI) are well-defined modes of plant immunity triggered by recognition of pathogen effector proteins and microbe-associated molecular patterns, respectively. While ETI and PTI network extensively share signaling components, the shared components are used in different ways, resulting in distinct network properties in the model plant Arabidopsis: immunity is highly robust against network perturbations in ETI but relatively sensitive in PTI. However, the molecular mechanism how the shared network leads to the different properties is not known. Here we show that salicylic acid (SA) reponsive genes can respond in the absense of SA during ETI.
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