Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The Quorn producing fungal genome and annotation of Fusarium venenatum

ABSTRACT: The Quorn producing fungal genome and annotation of Fusarium venenatum and comparison with close relative Fusarium graminearum

PROVIDER: PRJEB7533 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	ERR655305_1.fastq.gz	Fastqsanger.gz
	ERR655305_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

Fusarium venenatum

Project description:Fusarium venenatum overview

| PRJNA481841 | ENA

Fusarium venenatum

Project description:Fusarium venenatum Raw sequence reads

| PRJNA986314 | ENA

Fusarium venenatum strain:A3/5

Project description:Fusarium venenatum strain:A3/5 Genome sequencing and assembly

| PRJNA376531 | ENA

Fusarium venenatum strain:MPI-CAGE-CH-0201

Project description:Fusarium venenatum MPI-CAGE-CH-0201 Transcriptome - Fus_201_Tredo

| PRJNA500020 | ENA

Genetic response of maize silk to pollen tubes growth in comparison to fungal invasion.

Project description:In this study, RNA-seq based comparative transcriptome analysis was used to study the genetic response of maize silk to pollen tube penetration and in comparison to the fungal invasion of Fusarium graminearum and Ustilago maydis. RNA-seq libraries of 8 tissues were generated from leaf, root, seed, pollen tube, silk, pollinated silk, infected silk with Fusarium and infected silk with Ustilago.

2019-03-17 | E-MTAB-4559 | biostudies-arrayexpress

Fusarium venenatum strain:MPI-CAGE-CH-0201

Project description:Fusarium venenatum strain:MPI-CAGE-CH-0201 Genome sequencing and assembly

| PRJNA500113 | ENA

RNA-seq Analysis of FlbD-, AbaA-, and WetA-dependent Genes in Fusarium graminearum Z-3639

Project description:Fusarium graminearum (teleomorph Gibberella zeae) is a prominent pathogen that infects major cereal crops, such as wheat, barley, and maize. Conidiogenesis had been intensively studied in Aspergillus nidulans and regulatory pathway genes have been known to regulate conidiogenesis in stage specific manner. We reported the functional analyses of flbD, abaA, and wetA orthologs in F. graminearum. To understand genome-wide transcriptional profiling of conidiation, we employed RNA-seq of the wild-type Fusarium graminearum Z-3639 and each gene deletion mutants with three time courses (0 h, 6 h and 12 h after induction of conidiogenesis). AbaA experiment: 6 samples examined: 0 h, 6 h and 12 h after induction of conidiogenesis of Fusarium graminearum Z-3639 wild type and ΔabaA(ΔabaA::gen) mutant strains WetA experiment: 3 samples examined: 0 h, 6 h and 12 h after induction of conidiogenesis of Fusarium graminearum ΔwetA(ΔwetA::gen) mutant strains flbD experiment: 3 samples examined: 0 h, 6 h and 12 h after induction of conidiogenesis of Fusarium graminearum ΔflbD(ΔflbD::gen) mutant strains

2013-11-10 | E-GEOD-46133 | biostudies-arrayexpress

Gene expression during early infection of the susceptible spring wheat cultivar Roblin with Fusarium graminearum strains producing or not DON.

Project description:Fusarium head blight (FHB) is a major disease of cereal crops caused by the fungus Fusarium graminearum (Fg). FHB affects the flowering heads (or spikes). This study compare the gene expression profile in wheat spikelets from the very susceptible spring wheat cultivar Roblin inoculated with either water (H2O), a Fg strain (GZ3639) producing the mycotoxin deoxynivalenol (+DON), or a GZ3639-derived Fg strain which has been inactivated at the Tri5 locus (-DON).

2015-06-03 | GSE54554 | GEO

Molecular pathogenetic study of Fusarium head blight in highly resistant, resistant and susceptible common wheat (Triticum aestivum L.)

Project description:Fusarium graminearum (F.g) is responsible for Fusarium head blight (FHB), which is a destructive disease of wheat that accumulates mycotoxin such as deoxynivalenol (DON) and makes its quality unsuitable for end use. Several FHB resistant varieties development is going on world-wide. However the complete understanding of wheat defence response, pathogen (Fusarium graminearum) disease development mechanism and the gene crosstalk between organisms is still unclear. In our study focused to analyse pathogen (F. graminearum) molecular action in different Fusarium head blight resistance cultivars during the disease development. To understand the Fusarium graminearum pathogen molecular reaction, microarray gene expression analysis was carried out by using Fusarium graminearum (8 x 15k) Agilent arrays at two time points (3 & 7 days after infection) on three wheat genotypes (Japanese landrace cv. Nobeokabouzu-komugi - highly resistant, Chinese cv. Sumai 3 - resistant and Australian cv. Gamenya - susceptible), which spikes infected by Fusarium graminearum ‘H-3’strain. During the disease development the pathogen biomass as well as the expression of Trichothecene biosynthesis involved genes (Tri genes) in three wheat cultivars was determined. In our material no relation between fungus biomass and the disease symptoms were observed, however, it showed relation with fungus virulence factors expression (Tri genes). For the first time, we report the nature of Fusarium graminearum gene expression in the FHB-highly resistant cv. Nobeokabouzu-komugi during the disease development stage and the possible underlying molecular response.

2015-03-14 | GSE66772 | GEO

Discovery of Frenolicin B as Potential Agrochemical Fungicides for Controlling Fusarium Head Blight on Wheat

Project description:Purpose: To explore the mechanism of Frenolicin B could control the Fusarium Head Blight on Wheat. Methods: Fusarium graminearum were inoculated into PDB broth and cultivated 36 hours. After that, Frenolicin B was added in the broth of Fusarium graminearum, and the same volumes of methanol were served as the control. Then incubated together 6 hours.

2020-03-31 | GSE147731 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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