Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: transcriptome of sweet cherry

PROVIDER: PRJNA681747 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13171767_1.fastq.gz	Fastqsanger.gz
	SRR13171767_2.fastq.gz	Fastqsanger.gz
	SRR13171768_1.fastq.gz	Fastqsanger.gz
	SRR13171768_2.fastq.gz	Fastqsanger.gz
	SRR13171769_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Project description:transcriptome of sweet cherry

| PRJNA529517 | ENA

Project description:transcriptome of sweet cherry

| PRJNA746102 | ENA

Project description:Sweet cherry root transcriptome

| PRJNA556495 | ENA

Molecular investigation of Tuscan sweet cherries sampled over three years: gene expression analysis coupled to metabolomics and proteomics

Project description:Sweet cherry (Prunus avium L.) is a stone fruit widely consumed and appreciated for its organoleptic properties, as well as its nutraceutical potential. We here investigated the characteristics of six non-commercial Tuscan varieties of sweet cherry maintained at the Regional Germplasm Bank of the CNR-IBE in Follonica (Italy) and sampled at maturity over three consecutive years (2016-2017-2018). We adopted an approach merging genotyping and targeted gene expression profiling with metabolomics. To complement the data, a study of the soluble proteomes was also performed on two varieties showing the highest content of phenolics. The results obtained revealed that the highest differences were observed in the expression of genes involved in the phenylpropanoid pathway during the three years and among the varieties, while metabolomics identified the presence of flavanols and proanthocyanidins in highest abundance in the varieties Morellona and Crognola. Finally, proteomics on these two varieties showed differences in proteins involved in stress response, primary metabolism, and cell wall expansion. To the best of our knowledge, this is the first multi-pronged study focused on Tuscan sweet cherry varieties providing insights into the differential abundance of genes, proteins and metabolites.

2021-06-14 | PXD019468 | Pride

Project description:sweet cherry fruits transcriptome sequencing

| PRJNA596893 | ENA

Transcriptome profiling of Pseudomonas syringae pv. syringae 9644 in rich media and hrp-inducing minimum media

Project description:Pseudomonas syringae pv. syringae 9644 (Pss9644) is a causal agent of bacterial cherry canker causing necrotic symptoms on leaves, fruits, gummosis and canker in woody tissues of sweet cherry (Prunus avium). To understand which virulent factor genes were expressed in vitro, Pss9644 was grown in rich media (King's B Broth) and minimum media (hrp-inducing minimum media). The latter mimics the in planta environment.

2024-04-07 | GSE255102 | GEO

Project description:GWAS Sweet Cherry

| PRJNA813711 | ENA

Project description:Sweet cherry physiology

| PRJNA624546 | ENA

Project description:Sweet cherry RNAseq

| PRJNA863405 | ENA

Trancriptomic analysis of flower bud dormancy in sweet cherry

Project description:Bud dormancy is a crucial stage in perennial trees and allows survival over winter and optimal subsequent flowering and fruit production. Environmental conditions, and in particular temperature, have been shown to influence bud dormancy. Recent work highlighted some physiological and molecular events happening during bud dormancy in trees. However, we still lack a global understanding of transcriptional changes happening during bud dormancy. We conducted a fine tune temporal transcriptomic analysis of sweet cherry (Prunus avium L.) flower buds from bud organogenesis until the end of bud dormancy using next-generation sequencing. We observe that buds in organogenesis, paradormancy, endodormancy and ecodormancy are characterised by distinct transcriptional states, and associated with different pathways. We further identified that endodormancy can be separated in two phases based on its transcriptomic state: early and late endodormancy. We also found that transcriptional profiles of just 7 genes are enough to predict the main cherry tree flower buds dormancy stages. Our results indicate that transcriptional changes happening during dormancy are robust and conserved between different sweet cherry cultivars. Our work also sets the stage for the development of a fast and cost effective diagnostic tool to molecularly define the flower bud stage in cherry trees.

2019-12-16 | GSE130426 | 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