DrPruAviu
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB73957 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR12765214_1.fastq.gz | Fastqsanger.gz | |||
| ERR12765214_2.fastq.gz | Fastqsanger.gz | |||
| ERR12760841.fastq.gz | Fastqsanger.gz | |||
| ERR12760842.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
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:The experiment was performed in a commercial sweet cherry (cv. Tsolakeika, Prunus avium L.) orchard in North Greece (Edessa) during 2017 growing season. The orchard contained 10-years old trees, planted at 5x5 m spacing between rows and along the row, grafted onto Mahaleb cherry (Prunus mahaleb L.) rootstock, trained in open vase and subjected to standard cultural practices. Three foliar sprays (0.5% or 35 mM CaCl2) were performed at 15, 27 and 37 days after full blossom (DAFB). Cherry fruits (exocarp plus mesocarp tissues) were sampled in two developmental stages, namely at full red color (44 DAFB, S4 stage) and at commercial harvest (55 DAFB, S5 stage). Three biological replicates of 20-fruit sub-lots in control and Ca-treated fruits were frozen in liquid nitrogen, grinding in fine powder and stored at -80 ⁰C for proteomic processing.
2021-11-01 | PXD018227 | Pride
Project description:To improve preservation quality of sweet cherry (Prunus avium L.), the effect of ozone (O3) was estimated by label-free quantification proteomics and weighted gene co-expression network analysis (WGCNA).
2022-10-20 | PXD037578 |
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: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
Project description:Sweet cherry (Prunus avium) cv. Tieton Raw sequencing data
| PRJNA503752 | ENA
Project description:<p>Sweet cherry (<em>Prunus avium L.</em>) 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 ca. 60 days post-anthesis 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 flavonoids. Metabolomics identified the presence of flavanols and proanthocyanidins in highest abundance in the varieties Morellona and Crognola, while gene expression revealed that some differences were present in genes involved in the phenylpropanoid pathway during the 3 years and among the varieties. Finally, proteomics on Morellona and Crognola showed variations 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.</p>
2021-10-29 | MTBLS1803 | MetaboLights
Project description:Chromatin immunoprecipitation-sequencing (ChIP-seq) is a robust technique to study interactions between proteins, such as histones or transcription factors, and DNA. This technique in combination with RNA-sequencing (RNA-seq) is a powerful tool to better understand biological processes in eukaryotes. We developed a combined ChIP-seq and RNA-seq protocol for tree buds (Prunus avium L., Prunus persica L Batch, Malus x domestica Borkh.) that has also been successfully tested on Arabidopsis thaliana and Saccharomyces cerevisiae. Tree buds contain phenolic compounds that negatively interfere with ChIP and RNA extraction. In addition to solving this problem, our protocol is optimised to work on small amounts of material. Furthermore, one of the advantages of this protocol is that samples for ChIP-seq are cross-linked after flash freezing, making it possible to work on trees growing in the field and to perform ChIP-seq and RNA-seq on the same starting material. Focusing on dormant buds in sweet cherry, we explored the link between expression level and H3K4me3 enrichment for all genes, including a strong correlation between H3K4me3 enrichment at the DORMANCY-ASSOCIATED MADS-box 5 (PavDAM5) loci and its expression pattern. This protocol will allow analysis of chromatin and transcriptomic dynamics in tree buds, notably during its development and response to the environment.
2019-12-14 | GSE141983 | GEO
Project description:Prunus padus (bird cherry), genomic and transcriptomic data
| PRJEB73668 | ENA