Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ampelomyces quisqualis

ABSTRACT: Generation of transcriptome catalogs for global analysis of gene expression in Ampelomyces quisqualis during mycoparasitism

PROVIDER: PRJNA79711 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR060767.fastq.gz	Fastqsanger.gz
	SRR060768.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Ampelomyces quisqualis

Project description:Generation of a transcriptome catalog for global analysis of gene expression in Ampelomyces quisqualis during mycoparasitization

| PRJNA128149 | ENA

Ampelomyces quisqualis

Project description:Ampelomyces quisqualis overview

| PRJNA84003 | ENA

Generation of a transcriptome catalog for global analysis of gene expression in Ampelomyces quisqualis during mycoparasitization

Project description:In this work, 454 pyrosequencing was used to build up a 3’ cDNA fragment library from a normalized library constructed from pooled RNA samples extracted at different stages of A. quisqualis mycoparasitization process (recognition, early and late parasitization). An extensive catalogue of unique transcripts was compiled and used to develop a microarray for large-scale analysis of genes involved in this mycoparasitism. We examined the transcriptomic changes that occur during the first stage of mycoparasitism (conidial germination). Our results showed that 1,776 transcripts are regulated during germination in the presence of powdery mildew. A striking feature of the gene catalogue was the presence of a number of genes predicted to encode proteins involved in the production of, glucanases, chitinases and extracellular proteases. This suggests that A. quisqualis causes the degradation of powdery mildew macromolecular constituents to provide the carbon skeletons and energy for the synthesis of proteins and other components destined for the developing of the mycelium.

2014-07-11 | GSE22888 | GEO

Ampelomyces quisqualis strain:HMLAC05119 | isolate:HMLAC05119

Project description:Ampelomyces quisqualis HMLAC05119 Transcriptome

| PRJNA372922 | ENA

Generation of a transcriptome catalog for global analysis of gene expression in Ampelomyces quisqualis during mycoparasitization

Project description:In this work, 454 pyrosequencing was used to build up a 3M-bM-^@M-^Y cDNA fragment library from a normalized library constructed from pooled RNA samples extracted at different stages of A. quisqualis mycoparasitization process (recognition, early and late parasitization). An extensive catalogue of unique transcripts was compiled and used to develop a microarray for large-scale analysis of genes involved in this mycoparasitism. We examined the transcriptomic changes that occur during the first stage of mycoparasitism (conidial germination). Our results showed that 1,776 transcripts are regulated during germination in the presence of powdery mildew. A striking feature of the gene catalogue was the presence of a number of genes predicted to encode proteins involved in the production of, glucanases, chitinases and extracellular proteases. This suggests that A. quisqualis causes the degradation of powdery mildew macromolecular constituents to provide the carbon skeletons and energy for the synthesis of proteins and other components destined for the developing of the mycelium. Microarray oligo probes were designed based on 454 sequencing of 3'-ends of transcripts of a sample constituted by pooling RNAs extracted at different stages of A. quisqualis mycoparasitization process (recognition, early and late parasitization)

2014-07-11 | E-GEOD-22888 | biostudies-arrayexpress

Ampelomyces quisqualis strain:HMLAC05119 | isolate:HMLAC05119

Project description:Ampelomyces quisqualis HMLAC05119 Standard Draft genome sequencing

| PRJNA333829 | ENA

Ampelomyces quisqualis strain:BRIP 72107

Project description:Ampelomyces quisqualis strain:BRIP 72107 Genome sequencing and assembly

| PRJNA725554 | ENA

Peer review of the pesticide risk assessment of the active substance Ampelomyces quisqualis strain AQ10.

Project description:The conclusions of EFSA following the peer review of the initial risk assessments carried out by the competent authorities of the rapporteur Member State, France, and the co-rapporteur Member State, Germany, for the pesticide active substance Ampelomyces quisqualis strain AQ10 are reported. The context of the peer review was that required by Commission Implementing Regulation (EU) No 844/2012. The conclusions were reached on the basis of the evaluation of the representative uses of Ampelomyces quisqualis strain AQ10 as a fungicide by spraying against powdery mildew in grapes and spray applications in tomato, pepper and aubergine grown under protection or in the open field. The reliable end points, appropriate for use in regulatory risk assessment are presented. Missing information identified as being required by the regulatory framework is listed. Concerns are identified.

| S-EPMC7009983 | biostudies-literature

Ampelomyces sp. BRIP:72097

Project description:Ampelomyces sp. BRIP:72097 Genome sequencing

| PRJNA1083054 | ENA

Trichoderma sp. transcript levels during mycoparasitism

Project description:This SuperSeries is composed of the following subset Series: GSE19832: Trichoderma virens transcript levels during mycoparasitism GSE23382: Trichoderma atroviride transcript levels during mycoparasitism GSE23410: Trichoderma reesei transcript levels during mycoparasitism Refer to individual Series

2011-07-01 | E-GEOD-23438 | biostudies-arrayexpress

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