Field pathogenomics detects rapid global spread of recent emergent European lineages of wheat yellow rust
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB15280 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1607730_1.fastq.gz | Fastqsanger.gz | |||
| ERR1607730_2.fastq.gz | Fastqsanger.gz | |||
| ERR1607740_1.fastq.gz | Fastqsanger.gz | |||
| ERR1607740_2.fastq.gz | Fastqsanger.gz | |||
| ERR1607750_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 277 |
Similar Datasets
Project description:The fungus Puccinia striiformis f.sp. tritici (PST) is the causal pathogen of stripe rust in wheat. New highly virulent PST races appeared at the beginning of this century and spread rapidly causing significant yield losses in wheat production worldwide. Race PST-08/21 was isolated in the UK in 2008 Yr1, Yr2, Yr3, Yr4, Yr6, Yr9, Yr17, Yr27, Yr32, YrRob, YrSol. We applied the RNAseq approach to refine the gene prediction in de novo assembled PST 08/21 contigs and to determine which genes are expressed during wheat infections. Total RNA was extracted from a pool of stripe rust infected wheat leaves and from two biological replicates of haustoria isolates.
2013-08-19 | E-GEOD-42496 | biostudies-arrayexpress
Project description:Stem rust of wheat is a deleterious fungal disease across the globe causing severe yield losses. Although, many stem rust resistance genes (Sr) are being used in wheat breeding programs, new emerging stem rust pathotypes are a challenge to important Sr genes. In recent years, multiple studies on leaf and yellow rust molecular mechanism have been done, however, for stem rust such studies are lacking. Current study investigated stem rust induced response in the susceptible wheat genotype C306 and its Near Isogenic Line (NIL) for Sr24 gene, HW2004, using microarray analysis to understand the transcriptomic differences at different stages of infection. Results showed that HW2004 has higher basal levels of several important genes involved in pathogen detection, defence, and display early activation of multiple defence mechanisms. Further Gene Ontology (GO) and pathway analysis identified important genes responsible for pathogen detection, downstream signalling cascades and transcription factors (TFs) involved in activation and mediation of defence responses. Results suggest that generation of Reactive Oxygen Species (ROS), cytoskeletal rearrangement, activation of multiple hydrolases, and lipid metabolism mediated biosynthesis of certain secondary metabolites are collectively involved in Sr24-mediated defence in HW2004, in response to stem rust infection. Novel and unannotated, but highly responsive genes were also identified, which may also contribute towards resistance phenotype. Furthermore, certain DEGs also mapped close to the Sr24-linked marker on Thinopyrum elongatum translocated fragment on wheat 3E chromosome, which advocate further investigations for better insights of the Sr24-mediated stem rust resistance.
2023-11-29 | GSE207175 | GEO
Project description:The fungus Puccinia striiformis f.sp. tritici (PST) is the causal pathogen of stripe rust in wheat. New highly virulent PST races appeared at the beginning of this century and spread rapidly causing significant yield losses in wheat production worldwide. Race PST-08/21 was isolated in the UK in 2008 Yr1, Yr2, Yr3, Yr4, Yr6, Yr9, Yr17, Yr27, Yr32, YrRob, YrSol. We applied the RNAseq approach to refine the gene prediction in de novo assembled PST 08/21 contigs and to determine which genes are expressed during wheat infections.
2013-08-19 | GSE42496 | GEO
Project description:Switchgrass (Panicum virgatum) can be infected by the rust pathogen (Puccinia novopanici) resulting in lowering biomass yields and quality. Here, two cultivars with divergent rust resistance were used to evaluate the dynamic changes in proteomes following rust inoculation. Label-free quantitative proteomics was conducted on leaf extracts harvested from a susceptible cultivar Summer at 7, 11, and 18 DAI, and leaves collected at 18 DAI from controls and infected plants of the more resistant cultivar Kanlow.
2023-10-24 | PXD036978 | Pride
Project description:Eucalyptus rust is caused by the biotrophic fungus, Austropuccinia psidii, which affects commercial plantations of Eucalyptus, a major raw material for the pulp and paper industry in Brazil. Aiming to uncover the molecular mechanisms involved in rust resistance and susceptibility in Eucalyptus grandis, we used epifluorescence microscopy to follow the fungus development inside the leaves of two contrasting half-sibling genotypes (rust-resistance and rust-susceptible), to determine the time-course for comparative metabolomic and proteomic analyses in plantlets artificially inoculated with rust. Within 24 hours of complete fungal invasion, a total of 709 plant metabolites showed that the rust-resistant genotype suppressed many metabolites 6 hours after inoculation (hai), with responses being progressively induced after 12 hai. In contrast, the rust-susceptible genotype displayed an alternated metabolite response to infection, which culminated in a strong suppression at 24 hai. Multivariate analyses of genotypes and time points were used to select 16 differential metabolites chemically classified as flavonoids, benzenoids and other compounds. Applying the Weighted Gene Co-Expression Network Analysis (WGCNA), rust-resistant and rust-susceptible genotypes had, respectively, 871 and 852 proteins grouped into 14 and 13 modules, of which 10 and 7 protein modules were significantly correlated to the selected metabolites. Functional analyses revealed roles for oxidative-dependent responses leading to temporal activity of metabolites and proteins after 12 hai in rust-resistance, while the initial over-accumulation of metabolites and correlated proteins caused a lack of progressive response after 12 hai in rust-susceptible genotype. This study provides a brief understand on the temporal divergences of resistant and susceptible molecular responses of E. grandis plants to rust.
2021-09-09 | PXD021280 | Pride
Project description:Transcriptional profiling of rust-infected pearl millet seedlings over time [0h, 20h, 5d and 8d post infection (pi)]. Keywords: Time course, Stress response
2009-01-01 | GSE13479 | GEO
Project description:To investigate the molecular mechanism of nonhost resistance of M. truncatula against soybean rust, we performed integrated tanscriptome and metabolome analyses using samples derived from M. truncatula leaves inoculated with soybean rust. To identify host signaling pathways triggered by soybean rust infection, we carried out microarray analysis to monitor the expression profiles associated with nonhost resistance including pre-invasive (12 hai) and apoplastic defense (24 hai) using Affymetrix GeneChip® Medicago Genome Array (Affymetrix).
2015-08-18 | E-MTAB-2911 | biostudies-arrayexpress
Project description:To investigate theinfluence of Flax rust effectors on gene expression when transiently overexpressed in flax leaves.
2022-07-13 | GSE207874 | GEO
Project description:Effective design of combination therapies requires understanding the changes in cell physiology resulting from drug interactions. Here, we show that the genome-wide transcriptional response to combinations of two drugs, measured at a rigorously controlled growth rate, can predict higher-order antagonism with a third drug in Saccharomyces cerevisiae. Using isogrowth profiling, over 90% of the variation in cellular response can be decomposed into three principal components (PCs) that have clear biological interpretations. We demonstrate that the third PC captures emergent transcriptional programs that are dependent on both drugs and can predict antagonism with a third drug targeting the emergent pathway. We further show that emergent gene expression patterns are most pronounced at a drug ratio where the drug interaction is strongest, providing a guideline for future measurements. Our results provide a readily applicable recipe for uncovering emergent responses in other systems and for higher-order drug combinations.
2019-10-02 | GSE138256 | GEO