Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multidimensional gene regulatory landscape of a bacterial pathogen in plants

ABSTRACT: Understanding the gene regulation of plant pathogens is crucial for pest control and thus global food security. An integrated understanding of bacterial gene regulation in the host is dependent on multi-omic datasets, but these are largely lacking. Here, we simultaneously characterized the transcriptome and proteome of a bacterial pathogen in plants. We found a number of bacterial processes affected by plant immunity at the transcriptome and proteome levels. For instance, the salicylic acid-mediated plant immunity suppressed the accumulation of proteins comprising the tip component of bacterial type III secretion system. Interestingly, there were instances of concordant and discordant regulation of bacterial mRNAs and proteins. Gene co-expression analysis uncovered previously unknown gene regulatory modules underlying virulence. This study provides molecular insights into the multiple layers of gene regulation that contribute to bacterial growth in planta and elucidate the role of plant immunity in affecting pathogen responses.

ORGANISM(S): Pseudomonas syringae pv. tomato str. DC3000

PROVIDER: GSE138901 | GEO | 2020/04/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

In planta bacterial RNA-Seq with bacterial isolation.

Project description:Plant pathogens can cause serious diseases that impact global agriculture1. Understanding how the plant immune system naturally restricts pathogen infection holds a key to sustainable disease control in modern agricultural practices. However, despite extensive studies into the molecular and genetic basis of plant defense against pathogens since the 1950s2,3, one of the most fundamental questions in plant pathology remains unanswered: how resistant plants halt pathogen growth during immune activation. In the case of bacterial infections, a major bottleneck is an inability to determine the global bacterial transcriptome and metabolic responses in planta. Here, we developed an innovative pipeline that allows for in planta high-resolution bacterial transcriptome analysis with RNA-Seq, using the model plant Arabidopsis thaliana and the foliar bacterial pathogen Pseudomonas syringae. We examined a total of 27 combinations of plant immunity and bacterial virulence mutants to gain an unprecedented insight into the bacterial transcriptomic responses during plant immunity. We were able to identify specific bacterial transcriptomic signatures that are linked to bacterial inhibition during two major forms of plant immunity: pattern-triggered immunity and effector-triggered immunity. Among them, regulation of a P. syringae sigma factor gene, involved in iron regulation and an unknown process(es), was found to play a causative role in bacterial restriction during plant immunity. This study unlocked the enigmatic mechanisms of bacterial growth inhibition during plant immunity; results have broad basic and practical implications for future study of plant diseases.

2018-02-27 | GSE103441 | GEO

In planta bacterial RNA-Seq without bacterial isolation

2018-02-27 | GSE103406 | GEO

In planta bacterial multi-omics illuminates regulatory principles underlying plant-pathogen interactions

Project description:Gene regulation of bacterial pathogens in the host is not comprehensively understood due to the difficulty in analyzing genome-wide mRNA and protein expression of bacteria during infection. Here, we jointly analyzed transcriptome and proteome of a foliar bacterial pathogen in plants. Bacterial transcriptome changes can explain to a large extent their proteome changes in resistant and susceptible plants. However, a part of bacterial type III secretion system was suppressed by plant immunity preferentially at the protein level. Also, gene co-expression analysis uncovered previously unknown gene regulatory modules underlying bacterial virulence. Collectively, integrated in planta bacterial omics provides molecular insights into multiple layers of bacterial gene regulation that contributes to virulence and roles of plant immunity in controlling it.

2020-04-30 | PXD015839 | Pride

A late blight effector promotes a plant growth and development pathway to antagonise immunity

Project description:To effectively manage resources, regulatory cross-talk between biological processes within an organism is essential. An emerging area in plant research focuses on antagonism between regulatory systems controlling growth/development and those governing immunity. Such crosstalk represents a point of vulnerability for pathogens to exploit. Here we show that the notorious potato blight pathogen Phytophthora infestans promotes a growth and development pathway in order to antagonise plant immunity. AVR2, an effector protein secreted by P. infestans, has been shown to interact with potato BSL1, a putative phosphatase implicated in brassinosteroid hormone signalling. Plants expressing AVR2 exhibit transcriptional and phenotypic overlaps with an over-active brassinosteroid signalling pathway, and have compromised immunity. The activity of AVR2 leads to up-regulation of a functional orthologue of AtHBI1, known to facilitate cross-talk between the brassinosteroid pathway and immune signalling in Arabidopsis. Transient expression of potato HBI1-like compromises immunity and enhances leaf colonisation by P. infestans. Knowledge of how pathogens manipulate regulatory cross-talk governing resource allocation in plants will inform crop breeding efforts of the future; helping to maximise both yield and resistance to ensure food security as pressure on our agricultural systems increases.

2017-03-01 | E-MTAB-3854 | biostudies-arrayexpress

Transcriptome landscape of a bacterial pathogen under plant immunity

Project description:Transcriptome landscape of a bacterial pathogen under plant immunity

| PRJNA401390 | ENA

An immune-inducible trihelix transcription factor suppresses bacterial resistance in Arabidopsis thaliana

Project description:The plant innate immunity consists of the two interconnected mechanisms, pattern-triggered immunity (PTI) and effector-triggered immunity (ETI). Although much is known about how plants trigger immune responses upon pathogen recognition, the genetic program by which plants avoid an overshoot in pathogen-triggered immune responses remains largely unknown. Here, we discovered a trihelix transcription factor, GT-3a, as an immune-inducible negative regulator of bacterial resistance in Arabidopsis thaliana. Analysis of public RNA-seq data revealed that GT-3a is specifically induced by ETI activation not by PTI activation. Overexpression of GT-3a suppressed resistance against the bacterial pathogen Pseudomonas syringae pv. tomato DC3000 (Pto) and Pto-elicited expression of salicylic acid (SA)-responsive genes. Our results suggest that transcriptional induction of GT-3a circumvents the overshooting of SA-mediated defense responses during ETI.

2024-02-18 | GSE248054 | GEO

The Arabidopsis E3 ubiquitin ligase PUB4 regulates BIK1 and is targeted by a bacterial type-III effector

Project description:Plant immunity is tightly controlled by a complex and dynamic regulatory network, which ensures optimal activation upon detection of potential pathogens. Accordingly, each component of this network is a potential target for manipulation by pathogens. Here, we report that RipAC, a type III-secreted effector from the bacterial pathogen Ralstonia solanacearum, targets the plant E3 ubiquitin ligase PUB4 to inhibit pattern-triggered immunity (PTI). PUB4 plays a positive role in PTI by regulating the homeostasis of the central immune kinase BIK1. Before PAMP perception, PUB4 promotes the degradation of non-activated BIK1, while, after PAMP perception, PUB4 contributes to the accumulation of activated BIK1. RipAC leads to BIK1 degradation, which correlates with its PTI-inhibitory activity. RipAC causes a reduction in pathogen-associated molecular pattern (PAMP)-induced PUB4 accumulation and phosphorylation. Our results shed light on the role played by PUB4 in immune regulation, and illustrate an indirect targeting of the immune signalling hub BIK1 by a bacterial effector

2022-10-12 | PXD036739 | Pride

Gene Array to Predict Bacterial Infection with in Respiratory Illness

Project description:<p>Accurate tests for microbiologic diagnosis of lower respiratory tract infections (LRTI) are needed. Gene expression profiling of whole blood represents a powerful new approach for analysis of the host response during respiratory infection that can be used to supplement pathogen detection testing. Using qPCR, we prospectively validated the differential expression of 10 genes previously shown to discriminate bacterial and non-bacterial LRTI confirming the utility of this approach. In addition, a novel approach using RNAseq analysis identified 141 genes differentially expressed in LRTI subjects with bacterial infection. Using "pathway-informed" dimension reduction, we identified a novel 11 gene set (selected from lymphocyte, α-linoleic acid metabolism, and IGF regulation pathways) and demonstrated a predictive accuracy for bacterial LRTI (nested CV-AUC=0.87). RNAseq represents a new and an unbiased tool to evaluate host gene expression for the diagnosis of LRTI.</p>

| phs001248 | dbGaP

Small RNA sequencing of Barley CI 16151 and fast-neutron-derived, immune-compromised mutants infected with the powdery mildew fungus (Blumeria graminis f. sp. hordei (Bgh); isolate 5874)

Project description:Purpose: The powdery mildew fungus, Blumeria graminis, is an obligate biotrophic pathogen of cereals and has significant impact on food security (Dean et al., 2012. Molecular Plant Pathology 13 (4): 414-430. DOI: 10.1111/j.1364-3703.2011.00783.x). Blumeria graminis f. sp. hordei (Bgh) is the causal agent of powdery mildew on barley (Hordeum vulgare L.). We sought to identify small RNAs (sRNAs) from both barley and Bgh that regulate gene expression both within species and cross-kingdom.

2019-02-08 | GSE115992 | GEO

Multidimensional Assessment of the Host Response in Mechanically Ventilated Patients with Suspected Pneumonia

Project description:Rationale: Patients in the intensive care unit (ICU) are frequently exposed to unnecessary antibiotics. Markers of the host response to infection may aid pneumonia diagnosis and avoid antibiotic-induced complications. Objective: To assess the host response to suspected bacterial pneumonia through assessment of alveolar neutrophilia and transcriptomic profiling of alveolar macrophages. Methods: We determined the test characteristics of BAL neutrophilia for the diagnosis of bacterial pneumonia in 3 cohorts of mechanically ventilated patients. In one cohort, we also isolated alveolar macrophages from BAL fluid and used the transcriptome to identify signatures of bacterial pneumonia. Finally, we developed a humanized mouse model of Pseudomonas aeruginosa pneumonia to determine if pathogen-specific signatures can be identified in human alveolar macrophages. Measurements and Main Results: BAL neutrophilia was highly sensitive for bacterial pneumonia in both the retrospective (N = 851) and validation cohorts (N = 76 and N = 79) with a negative predictive value of over 90% when BAL neutrophil percentage was less than 50%. A transcriptional signature of bacterial pneumonia was present in both resident and recruited macrophages. Gene signatures from both cell types identified patients with bacterial pneumonia with test characteristics similar to BAL neutrophilia. Conclusions: A BAL neutrophil percentage of less than 50% is highly sensitive for bacterial pneumonia. Informative transcriptomic signatures can be generated from BAL fluid obtained during routine clinical care in the ICU. The identification of novel host response biomarkers is a promising approach to aid the diagnosis and treatment of pneumonia.

2018-11-06 | GSE121871 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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