Simenchelys parasitica
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA868827 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR380155.fastq.gz | Fastqsanger.gz | |||
| DRR380156.fastq.gz | Fastqsanger.gz | |||
| DRR380157.fastq.gz | Fastqsanger.gz | |||
| DRR380158.fastq.gz | Fastqsanger.gz | |||
| DRR380159.fastq.gz | Fastqsanger.gz |
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Project description:Oomycetes from the genus Phytophthora are fungus-like plant pathogens that are devastating for agriculture and natural ecosystems. Due to particular physiological characteristics, no treatments against diseases caused by oomycetes are presently available. To develop such treatments, it appears essential to dissect the molecular mechanisms that determine the interaction between Phytophthora species and host plants. The present project is focused on the molecular mechanisms that underlie the compatible plant-oomycete interaction and plant disease. The laboratory developed a novel interaction system involving the model plant, Arabidopsis thaliana, and Phytophthora parasitica, a soil-borne pathogen infecting a wide host range, thus representing the majority of Phytophthora species. A characteristic feature of the compatible Arabidopsis/P. parasitica interaction is an extended biotrophic phase, before infection becomes necrotrophic. Because the initial biotrophic phase is extremely short on natural (e.g. solanaceous) hosts, the Arabidopsis system provides the opportunity to analyze, for both interaction partners, the molecular events that determine the initiation of infection and the switch to necrotrophy. The present project aims at analyzing the compatible interaction between A. thaliana roots and P. parasitica. The Affymetrix A. thaliana full genome chip will be used to characterize modulations of the transcriptome occurring over a period of 24h from the onset of plant root infection to the beginning of necrotrophy. Parallel to this study, a custom-designed P. parasitica biochip will enable analyzing of P. parasitica gene expression during the same stages.
2010-04-20 | GSE20226 | GEO
Project description:Phytophthora parasitica is one of the most widespread Phytophthora species, which is known to cause root rot, foot rot/gummosis and brown rot of fruits in citrus. In this study, we have analyzed the transcriptome of a commonly used citrus rootstock Carrizo citrange in response to P. parasitica infection using the RNA-seq technology. In total, we have identified 6692 differentially expressed transcripts (DETs) among P. parasitica-inoculated and mock-treated roots. Of these, 3960 genes were differentially expressed at 24 hours post inoculation and 5521 genes were differentially expressed at 48 hours post inoculation. Gene ontology analysis of DETs suggested substantial transcriptional reprogramming of diverse cellular processes particularly the biotic stress response pathways in Carrizo citrange roots. Many R genes, transcription factors, and several other genes putatively involved in plant immunity were differentially modulated in citrus roots in response to P. parasitica infection. Analysis reported here lays out a strong foundation for future studies aimed at improving resistance of citrus rootstocks to P. parasitica.
2019-04-13 | GSE129758 | GEO
Project description:Cryphonectria parasitica Genome sequencing
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Project description:Cryphonectria parasitica Genome sequencing
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Project description:Oomycetes from the genus Phytophthora are fungus-like plant pathogens that are devastating for agriculture and natural ecosystems. Due to particular physiological characteristics, no treatments against diseases caused by oomycetes are presently available. To develop such treatments, it appears essential to dissect the molecular mechanisms that determine the interaction between Phytophthora species and host plants. The present project is focused on the molecular mechanisms that underlie the compatible plant-oomycete interaction and plant disease. The laboratory developed a novel interaction system involving the model plant, Arabidopsis thaliana, and Phytophthora parasitica, a soil-borne pathogen infecting a wide host range, thus representing the majority of Phytophthora species. A characteristic feature of the compatible Arabidopsis/P. parasitica interaction is an extended biotrophic phase, before infection becomes necrotrophic. Because the initial biotrophic phase is extremely short on natural (e.g. solanaceous) hosts, the Arabidopsis system provides the opportunity to analyze, for both interaction partners, the molecular events that determine the initiation of infection and the switch to necrotrophy. The present project aims at analyzing the compatible interaction between A. thaliana roots and P. parasitica. The Affymetrix A. thaliana full genome chip will be used to characterize modulations of the transcriptome occurring over a period of 24h from the onset of plant root infection to the beginning of necrotrophy. Parallel to this study, a custom-designed P. parasitica biochip will enable analyzing of P. parasitica gene expression during the same stages. 10 samples were used in this experiment.
2010-04-28 | E-GEOD-20226 | biostudies-arrayexpress
Project description:In this project, we made a comprehensive quantitative proteomic analysis of four defined developmental stages of S. parasitica (mycelium, primary cysts, secondary cysts and germinated cysts) to gain greater insight into the types of proteins specifically linked to each stage. A total of 2423 unique proteins were identified using qualitative (gel-based) and quantitative (iTRAQ, isobaric tags for relative and absolute quantitation) approaches. Of these, 358 proteins, associated with various biological processes, were found to be significantly enriched between different life cycle stages of S. parasitica. The transcript abundance of several cyst and mycelium enriched proteins was also checked by quantitative real-time PCR. This is the first large scale proteomic analysis on Saprolegnia and the data from this study will enhance our current knowledge about this pathogen by identifying biological processes key to each developmental stage.
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