Ralstonia solanacearum
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| DRR255678_subreads.fastq.gz | Fastqsanger.gz | |||
| DRR255679_subreads.fastq.gz | Fastqsanger.gz | |||
| DRR255680_subreads.fastq.gz | Fastqsanger.gz | |||
| DRR255681_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:We found the Type III effector protein RipAB could suppress multiple plant immune responses and is important for the virulence of bacterial wilt pathogen Ralstonia solanacearum.
2022-05-04 | GSE179700 | GEO
Project description:Ralstonia solanacearum, recognized as a pervasive plant pathogen causing lethal wilt disease in over 450 plant species worldwide, represents a substantial threat to economically vital crops including tomato, chili, and eggplant. Within R. solanacearum, pehR serves as a transcriptional regulator, forming part of the pehSR two-component regulatory system. This system governs the production of polygalacturonase (PG), a crucial extracellular enzyme involved in plant cell wall degradation and bacterial wilt development. Our study focuses on a disruption mutant of the pehR gene from the local isolate R. solanacearum F1C1, obtained from Tezpur, Assam. Utilizing RNA-seq, we examine the gene expression profiles of R. solanacearum F1C1 under pehR regulation. Differential expression analysis between wild type and pehR mutants reveals a set of genes directly influenced by pehR. This comprehensive gene expression analysis provides insights into the system-level responses orchestrated by the pehR regulator in pathogenicity and virulence development. Moreover, it sheds light on the broader regulatory network controlled by pehR and its underlying molecular mechanisms. Our work also underscores the identification of key target genes regulated by pehR within R. solanacearum F1C1, offering a deeper understanding of its role in bacterial pathogenicity. Ultimately, unraveling the complete pehR regulome holds promise for elucidating the regulatory dynamics driving the pathogenic behavior of R. solanacearum F1C1.
2024-11-22 | GSE269108 | GEO
Project description:Bacterial wilt caused by Ralstonia solanacearum is a lethal, soil-borne disease of tomato. Control of the disease with chemicals and crop rotation is insufficient, because the pathogen is particularly well adapted for surviving in the soil and rhizosphere. Therefore, cultivar resistance is the most effective means for controlling bacterial wilt, but the molecular mechanisms of resistance responses remain unclear. We used microarrays to obtain the characteristics of the gene expression changes that are induced by R. solanacearum infection in resistant cultivar LS-89 and susceptible cultivar Ponderosa.
2012-10-06 | GSE31807 | GEO
Project description:The aim of the project is to decipher the role of DNA methylation in the plant pathogenic bacteria Ralstonia solanacearum during host adaptation. As a first step, we present here the DNA methylation profile of the GMI1000 reference strain.
2017-01-10 | GSE93317 | GEO
Project description:Bacterial wilt caused by Ralstonia solanacearum is a serious seed/soil borne disease that causes severe yield and quality losses in many plants. In order to understand the change in genome expression of inculated plants, microarray analysis were performed. Twenty one days old roots of Arabidopsis Col-0 were inoculated with Ralstonia solanacearum race 4 @ 10^9 & 10^8 cfu/ml in different plants, distil water were mock inoculated, after five days plants were taken for RNA extraction and hybridization on Affymetrix microarrays. Plants were incubated in growth chamber for disease development, temperature and humidity were maintained as per plant requirement for both treated and control plants.
2016-12-21 | GSE92631 | GEO
Project description:Chickpea (Cicer arietinum) is the third largest legume grown worldwide and are prone to drought and various pathogen infections. These stresses often occur concurrently in the field conditions. Previous studies in other plant species indicated that plant senses concurrently occurring stresses as new state of stress however, the molecular events in response to that is largely unknown. In the present study, we studied the transcriptome changes in chickpea plants exposed to combination of drought stress and a potential wilt pathogen, Ralstonia solanacearum by microarray analysis. Chickpea plants were exposed to short duration individual drought (SD-drought, soil field capacity, FC-35%), long duration individual drought (LD-drought, FC-30%), short duration individual pathogen stress (SD-pathogen = 2 days pathogen infection), long duration individual pathogen stress (LD-pathogen = 4 days of infection) and short duration and long duration combined stress, SD-combined = 2 days of pathogen infection with progressive drought (FC-40% to FC- 35%), LD combined = 4 days of pathogen infection with progressive drought (FC-35% to 30%).Transcriptome analysis for the leaf samples from above treatment were done by microarray analysis using Agilent ChickpeaGXP_8X60K chip. Result indicated presence of specific molecular events and also some common but tailored events in response to combined stress. Global transcriptional analysis in chickpea leaves exposed to individual and combined drought stress and Ralstonia solanacearum infection.
2017-06-13 | GSE89228 | GEO
Project description:Peyraud2016 - Metabolic reconstruction
(iRP1476) of Ralstonia solanacearum GMI1000
This model is described in the article:
A Resource Allocation
Trade-Off between Virulence and Proliferation Drives Metabolic
Versatility in the Plant Pathogen Ralstonia solanacearum.
Peyraud R, Cottret L, Marmiesse L,
Gouzy J, Genin S.
PLoS Pathog. 2016 Oct; 12(10):
e1005939
Abstract:
Bacterial pathogenicity relies on a proficient metabolism
and there is increasing evidence that metabolic adaptation to
exploit host resources is a key property of infectious
organisms. In many cases, colonization by the pathogen also
implies an intensive multiplication and the necessity to
produce a large array of virulence factors, which may represent
a significant cost for the pathogen. We describe here the
existence of a resource allocation trade-off mechanism in the
plant pathogen R. solanacearum. We generated a genome-scale
reconstruction of the metabolic network of R. solanacearum,
together with a macromolecule network module accounting for the
production and secretion of hundreds of virulence determinants.
By using a combination of constraint-based modeling and
metabolic flux analyses, we quantified the metabolic cost for
production of exopolysaccharides, which are critical for
disease symptom production, and other virulence factors. We
demonstrated that this trade-off between virulence factor
production and bacterial proliferation is controlled by the
quorum-sensing-dependent regulatory protein PhcA. A phcA mutant
is avirulent but has a better growth rate than the wild-type
strain. Moreover, a phcA mutant has an expanded metabolic
versatility, being able to metabolize 17 substrates more than
the wild-type. Model predictions indicate that metabolic
pathways are optimally oriented towards proliferation in a phcA
mutant and we show that this enhanced metabolic versatility in
phcA mutants is to a large extent a consequence of not paying
the cost for virulence. This analysis allowed identifying
candidate metabolic substrates having a substantial impact on
bacterial growth during infection. Interestingly, the
substrates supporting well both production of virulence factors
and growth are those found in higher amount within the plant
host. These findings also provide an explanatory basis to the
well-known emergence of avirulent variants in R. solanacearum
populations in planta or in stressful environments.
This model is hosted on
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MODEL1612020000.
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2016-12-05 | MODEL1612020000 | BioModels
Project description:Investigation of whole genome gene expression level changes in the bacterial wilt pathogen Ralstonia solanacearum, strain GMI1000 at 20°C and 28°C in culture and in planta. The tropical strain GMI1000 cannot wilt tomato plants at 20°C although it can cause full-blown disease at 28°C.
2012-01-15 | GSE33657 | GEO
Project description:Investigation of whole genome gene expression level changes in the bacterial wilt pathogen Ralstonia solanacearum, strain GMI1000 at 20°C and 28°C in culture and in planta. The tropical strain GMI1000 cannot wilt tomato plants at 20°C although it can cause full-blown disease at 28°C. A 16 array study using total RNA recovered from the following: 8 separate cultures of Ralstonia solanacearum strain GMI1000 grown in rich medium-CPG (4 grown at 20°C and 4 grown at 28°C) 8 separate in planta samples of Ralstonia solanacearum strain GMI1000 harvested from diseased tomato plants cv. BonnyBest (4 recovered from plants grown at 20°C and 4 from plants grown at 28°C) Each array (4-plex format) measures the expression level of 5061 genes from Ralstonia solanacearum strain GMI1000 with 2 to 6, 40-70 mer probes per gene, with two-fold technical redundancy. The arrays also contain probes for intergenic regions with no technical replicates.
2012-01-15 | E-GEOD-33657 | biostudies-arrayexpress
Project description:Investigation of whole genome gene expression level changes in the bacterial wilt pathogen Ralstonia solanacearum, strain UW551 at 20°C and 28°C in culture and in planta. The temperatel strain UW551 can wilt and cause full-blown disease on tomato plants at 28°C as well as at 20°C. A 16 array study using total RNA recovered from the following: 8 separate cultures of Ralstonia solanacearum strain UW551 grown in rich medium-CPG (4 grown at 20°C and 4 grown at 28°C) 8 separate in planta samples of Ralstonia solanacearum strain UW551 harvested from diseased tomato plants cv. BonnyBest (4 recovered from plants grown at 20°C and 4 from plants grown at 28°C) Each array (4-plex format) measures the expression level of 4318 genes from Ralstonia solanacearum strain UW551 with 2 to 6, 40-70 mer probes per gene, with two-fold technical redundancy. The arrays also contain probes for intergenic regions with no technical replicates.
2012-01-15 | E-GEOD-33661 | biostudies-arrayexpress