Ontology highlight
ABSTRACT:
PROVIDER: PRJNA706194 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13840188.fastq.gz | Fastqsanger.gz | |||
| SRR13840189.fastq.gz | Fastqsanger.gz | |||
| SRR13840190.fastq.gz | Fastqsanger.gz | |||
| SRR13840191.fastq.gz | Fastqsanger.gz | |||
| SRR13840192.fastq.gz | Fastqsanger.gz |
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Project description:affy_mildew_sunflower - A quantitative resistance of sunflower to downy mildew (Plasmopara halstedii) has been mapped on LG10 (Vear et al., 2008). Is this quantitative resistance involving novel biological mechanisms? Compare the pattern of expression of specific resistances harboured by the Pl5/Pl2 alleles and the quantitative resistance harboured by the favourable allele at the mapped QTL, during compatible and incompatible interactions in the pathosystem Helianthus annuus / Plasmopara halstedii 60 arrays - SUNFLOWER; normal vs disease comparison
2013-05-29 | E-GEOD-25717 | biostudies-arrayexpress
Project description:affy_mildew_sunflower - A quantitative resistance of sunflower to downy mildew (Plasmopara halstedii) has been mapped on LG10 (Vear et al., 2008). Is this quantitative resistance involving novel biological mechanisms? Compare the pattern of expression of specific resistances harboured by the Pl5/Pl2 alleles and the quantitative resistance harboured by the favourable allele at the mapped QTL, during compatible and incompatible interactions in the pathosystem Helianthus annuus / Plasmopara halstedii
2013-05-29 | GSE25717 | GEO
Project description:Germination of seeds of Orobanche species requires specific chemicals exuded by host roots. A family of “divergent” KARRIKIN INSENSITIVE2 (KAI2d) genes encode proteins that recognize strigolactone (SL) class germination simulants. We explored specificity of germination stimulant detection by analyzing interspecific segregants of a cross between Orobanche cernua and O. cumana, closely related species that differ in stimulant response. O. cernua parasitizes tomato and germinates in response to the SL orobanchol, while O. cumana parasitizes sunflower and responds to dehydrocostus lactone (DCL). KAI2d genes were catalogued in parents and in segregants that showed stimulant specificity. KAI2d genes were also functionally assayed in the Arabidopsis kai2 mutant background. We identified five full-length KAI2d genes in O. cernua and eight in O. cumana. The O. cernua KAI2d2, as well as its ortholog in O. cumana, are associated with SL perception. A cluster of O. cumana KAI2d genes was genetically linked to DCL perception, although no specific receptor gene was identified by heterologous complementation. These findings support the KAI2d-mediated perception of SLs, but fall short of explaining how O. cumana perceives DCL. The ability of some O. cumana KAI2d genes to detect SLs points to the involvement of additional factors in regulating stimulant specificity.
2022-02-20 | GSE196954 | GEO
Project description:Background: Respiratory allergy triggered by pollen allergens is increasing at an alarming rate worldwide. Sunflower pollen is thought to be an important source of inhalant allergens. Present study aims to identify the prevalence of sunflower pollinosis among the Indian allergic population and characterizes the pollen allergens using immuno-proteomic tools. Methodology: Clinico-immunological tests were performed to understand the prevalence of sensitivity towards sunflower pollen among the atopic population. Sera from selected sunflower positive patients were used as probe to detect the IgE-reactive proteins from the one and two dimensionally separated proteome of sunflower pollen. The antigenic nature of the sugar moiety of the glycoprotein allergens was studied by meta-periodate modification of IgE-immunoblot. Finally, these allergens were identified by mass-spectrometry (MALDI TOF/TOF and LC ESI qTOF). MASCOT searching was performed against NCBInr database. However, Helianthus annuus genome is not fully sequenced and partially annotated. So in case of low confidence (p> 0.05) protein identification, searching was performed against EST library of Helianthus annuus. Results: Prevalence of sunflower pollen allergy was observed among 21% of the atopic population and associated with elevated level of specific IgE and histamine in the sera of these patients. Immunoscreening of sunflower pollen proteome with patient serum detected seven IgE-reactive proteins with varying molecular weight and pI. Hierarchical clustering of 2D-immunoblot data highlighted three allergens characterized by a more frequent immuno-reactivity and increased levels of IgE antibodies in the sera of susceptible patients. These allergens were considered as the major allergens of sunflower pollen and were found to have their glycan moiety critical for inducing IgE response. Homology driven search of MS/MS data of these IgE-reactive proteins identified seven previously unreported allergens from sunflower pollen. Three major allergenic proteins were identified as two non-isoformic pectate lyases and a cystein protease. Conclusion: Novelty of the present report is the identification of a panel of seven sunflower pollen allergens for the first time at immuno-biochemical and proteomic level, which substantiated the clinical evidence of sunflower allergy. Further purification and recombinant expression of these allergens will improve component-resolved diagnosis and therapy of pollen allergy.
2015-10-05 | PXD002397 | Pride
Project description:Background: Sclerotinia sclerotiorum is one of the most severe fungus diseases in many important crops including sunflower (Helianthus annuus) worldwide. Breeding the resistant varieties are the best strategy to control S. sclerotiorum, however, the molecular regulatory mechanisms of sunflower in response to S. sclerotiorum remain poorly understood. Methods: We performed a leaf transcriptomic analysis to understand the differential defense response to S. sclerotiorum in a disease resistant (DR) genotype and a disease susceptible (DS) genotype of sunflower 24 h post-inoculation. Results: A total of 7439 and 10151 differentially expressed genes (DEGs) were identified in DR and DS genotypes, respectively suggesting that the former is less affected by S. sclerotiorum infection. Pathway analysis revealed that response to S. sclerotiorum was mostly enriched in the DEGs that are involved in the cell wall, redox homeostasis, immune response, protein kinase activity, hormone, transcription factor activities as well as secondary metabolism. The magnitude of expression changes in a set of genes encoding expansins, pectate lyase activities, antioxidant activity and ethylene following S. sclerotiorum infection likely contributed to the different resistance levels of these two genotypes. One gene encoding effector receptor NLR revealing significant opposite expression pattern between DR and DS genotypes along with three hub-genes CDPK9, MAPK5, CML23 by protein-protein interaction (PPI) network analysis were considered as the most possible candidate genes. Conclusion: Our results provide in-depth insights into the molecular mechanisms associated with sunflower defense responses against S. sclerotiorum that will be of great utility in Sclerotinia-resistance breeding.
2022-12-07 | GSE220161 | GEO
Project description:Soil treatment with D74 invokes the defense mechanism of Helianthus annuus against Orobanche cumana Raw sequence reads
| PRJNA830293 | ENA
Project description:We describe the design, cleaning and annotation of the gene index for sunflower and the construction of the microarray platform. In addition, we validate this tool by means of the analysis of global changes in gene expression profiles in response to water deficit as a physiological event which induces senescence, taken as a model experiment, for which reference genes have also been identified and validated (Fernandez et al., 2011). Our results show that Helianthus annuus L. microarray is suitable for a functional genomics approach across many different possible treatments and conditions to be carried out. Actually, it is already being used for other experiments showing a precise and accurate level of trustability along different gene expression profiles.
2012-10-31 | GSE29390 | GEO