Rosa persica
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1216767 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Rosa chinensis ‘Pallida’ (Rosa L.) is one of the most important ancient rose cultivars originating from China. It contributed the ‘tea scent’ trait to modern roses. However, little information is available on the gene regulatory networks involved in scent biosynthesis and metabolism in Rosa. In this study, the transcriptome of R. chinensis ‘Pallida’ petals at different developmental stages, from flower buds to senescent flowers, was investigated using Illumina sequencing technology. De novo assembly generated 89,614 clusters with an average length of 428 bp. Based on sequence similarity search with known proteins, 62.9% of total clusters were annotated. Out of these annotated transcripts, 25,705 and 37,159 sequences were assigned to gene ontology and clusters of orthologous groups, respectively. The dataset provides information on transcripts putatively associated with known scent metabolic pathways. Digital gene expression (DGE) was obtained using RNA samples from flower bud, open flower and senescent flower stages. Comparative DGE and quantitative real time PCR permitted the identification of five transcripts encoding proteins putatively associated with scent biosynthesis in roses. The study provides a foundation for scent-related genes discovery in roses.
2015-01-01 | GSE54486 | GEO
Project description:Analysis of Rosa Damascena Stem Cell-derived Exosome
2023-08-21 | PXD043169 | Pride
Project description:We charactarize the regulated miRNAs of Prunus persica to preventive treatment of PpPep2 1 µM endogenous peptide. The peptide treatment was applied to leaves and we sequenced the miRNAs after 1 and 24 h using untreated plants as control. miRNA profiles were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Differential expression analysis of annotated pre_miRNA gene biotypes was performed with R package DESeq2 v1.26.0, considering significant epression values below FDR <0.05. We obtained 117,267,647 raw reads and we identified a total of 33 differential expressed miRNAs (DEM) belonging to 18 miRNA families upon PpPep2 application, accounting for 15% of the P. persica annotated miRNAs. miRNA regulation occurs principally one day after peptide treatment. The predicted mRNA targets and function of orthologous miRNAs are compatible with a regulation of PTI-related processes. Together with the transcriptomic response of P. persica to PpPep2 described at our previous RNA-Seq (Foix et al 2021), this suggests that miRNAs would have an active role in PTI regulation at these stages.
2024-12-19 | GSE214135 | GEO
Project description:Prunus persica var. persica Raw sequence reads
| PRJNA338096 | ENA
Project description:Here we found Rosa roxburghii fruit extracts effectively increase TERT expression and telomerase activity in cultured human mesenchymal stem cells. Both Rosa roxburghii fruit extracts by freeze drying and spray drying methods increase the activity of telomerase. Rosa roxburghii fruit freeze drying extracts is able to reduce reactive oxygen species levels, enhance SOD activity and resistance to oxidative stress, and reduce DNA damage caused by oxidative stress or radiation. Rosa roxburghii fruit extracts promoted cell proliferation, improved senescent cell morphology, delayed replicative cellular senescence, attenuated cell cycle supressors and alleviated the senescence-associated secretory phenotype. Transcriptome and metabolic profilings found that Rosa roxburghii fruit extract promote cell proliferation and DNA repair pathways, decreased triglycerides as well. Overall, we provided a theoretical basis for the application of Rosa roxburghii fruit as an anti-aging natural product.
2024-04-01 | GSE261987 | GEO
Project description:Prunus persica var. persica Transcriptome or Gene expression
| PRJNA382313 | ENA