Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Apple leaves RNA-seq

PROVIDER: PRJNA749394 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15239518_1.fastq.gz	Fastqsanger.gz
	SRR15239518_2.fastq.gz	Fastqsanger.gz
	SRR15239519_1.fastq.gz	Fastqsanger.gz
	SRR15239519_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Large scale analysis of leaf gene expression upon infection of susceptible or resistant apple varietes with different strains of Erwinia amylovora

Project description:Investigation of whole genome gene expression level changes in leaves of susceptible (MM106) or resistant (ME010) apple genotypes either non-inoculated, inoculated with the wild type strain of Erwinia amylovora (CFBP1430) or the non-pathogenic mutant strain PMV6023. The mutant strain PMV6023 is affected in the biosynthesis of the type 3 secretion system delivering bacterial effectors into apple cells. Leaves were harvested for RNA extraction before inoculation, 6 hours and 24 hours after inoculation.

2021-05-25 | GSE175422 | GEO

Project description:BS-seq and RNA-seq of different apple leaves

| PRJNA705949 | ENA

Novel apple miRNAs and their possible involvement in Fire Blight defense

Project description:Fire blight (FB) is a bacterial disease affecting plants from Rosaceae family, including apple and pear. FB develops after the infection of Erwinia amylovora, gram-negative enterobacterium, and results in burnt-like damages and wilting, which can affect all organs of the plant. Although the mechanisms underlying disease response in apples are not elucidated yet, it has been well described that FB resistance depends on the rootstock type. The main objective of this work was to identify miRNAs involved in response to bacterial infection in order to better explain apple defense mechanisms against fire blight disease. We performed deep sequencing of eighteen small RNA libraries obtained from inoculated and non-inoculated Gala apple leaves. 233 novel plant mature miRNAs were identified together with their targets and potential role in response to bacterial infection. We identify three apple miRNAs responding to inoculation (mdm-miR168a,b, mdm-miR194C and mdm-miR1392C) as well as miRNAs reacting to bacterial infection in a rootstock-specific manner (miR395 family). Our results provide insights into the mechanisms of fire blight resistance in apple.

2016-08-28 | GSE72346 | GEO

Modulation of apple leaf trancriptome by Acibenzolar-S-methyl (ASM)

Project description:Investigation of whole genome gene expression level changes in leaves of apple seedlings (Golden delicious) 3 days after treatment by Bion 50WG (ASM) versus water.

2024-04-01 | GSE262538 | GEO

Project description:Dual RNA-seq of Gymnosporangium yamadae inoculated apple leaves and mock-inoculated apple leaves at 10 dpi and 30 dpi

| PRJNA549565 | ENA

Project description:apple RNA-seq

| PRJNA1204483 | ENA

Project description:Apple RNA-seq

| PRJNA1037167 | ENA

Modulation of apple leaf transcriptome by QTLs and infection by Venturia inaequalis

Project description:Induction of whole genome gene expression level changes in leaves of grafted apple genotypes exhibiting contrasted QTL architecture (from one to a combination of three QTL) after the inoculation of the pathogenic fungus Venturia inaequalis

2024-02-28 | GSE250309 | GEO

Identification of differentially methylated regions between leaves and young fruits of the apple GDDH13

Project description:The main objective of this analysis was to sequence the epigenome of the Apple (Malus domestica) doubled haploid 'Golden Delicious' tree. Our secondary objective was to identify differentially methylated regions between DNA purified from leaves and young fruits.

2016-09-17 | GSE87014 | GEO

Ontogenic Resistance in Apple

Project description:Ontogenic scab resistance in apple leaves and fruits is a horizontal resistance against the plant pathogen VenturiaM- inaequalis and is expressed as decrease of disease symptoms and incidence with the ageing of the leaves. Several studies at biochemical level tried to unveil the nature of this resistance, however without any conclusive results. We decided therefore to investigate the genetic origin of this phenomenon by performing a full quantitative trascriptome sequencing and comparison of young (susceptible) and old (ontogenic resistant) leaves, infected or not with the pathogen. Two time points at 72 and 96 hours post inoculation were chosen for RNA sampling and sequencing. Comparison between the different conditions (young and old leaves, inoculated or not) should allow finding genes differentially expressed which may represent different induced plant defense reaction leading to ontogenic resistance or be the cause for a constitutive (not inoculated with the pathogen) shift toward resistance in old leaves. Differentially expressed genes were then characterized for their function by homology to A.M- thaliana and other plantsM-^R genes, particularly looking for genes involved in pathways already suspected of appertaining to ontogenic resistance in apple or other hosts, or to plant defense mechanisms in general.

2013-11-18 | E-MTAB-1726 | 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