Ontology highlight
ABSTRACT:
PROVIDER: PRJNA866659 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR20883375_1.fastq.gz | Fastqsanger.gz | |||
| SRR20883375_2.fastq.gz | Fastqsanger.gz | |||
| SRR20883376_1.fastq.gz | Fastqsanger.gz | |||
| SRR20883376_2.fastq.gz | Fastqsanger.gz | |||
| SRR20883377_1.fastq.gz | Fastqsanger.gz |
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Project description:affy_duplicature_lyon_rose. The objective is to identify the genes involved in petal doubling in rose. In this study we are using two rosa gallica genotypes: wild-type (simple flower rose) and Cardinal de Richelieu (double flower rose), and two rosa hybrida genotypes : Souvenir de la Malmaison, which has about 110 petal, and its bud sport cultivar, Souvenir de St Anne’s. In this study, we used a microarray approach to compare the transcriptome of double flower rose (CDR) versus simple flower rose (G). The objective is to identify genes whose expression is associated with the double flower phenotype. These genes are putative candidates involved in the control of petal organ number per flower. Floral buds were dissected under a microscope and pooled in eppendorf tubes. Tissue samples were harvested at the same time during 3 weeks in April 2007. Total RNA was extracted from the pools of flowers using the Plant RNA kit (Macherey Nagel), and then used to hybridize Rosa-Affymetrix microarrays. Keywords: genotype comparison 8 arrays - rose. 4 genotypes, 2 replicates each.
2011-08-31 | E-GEOD-18353 | biostudies-arrayexpress
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.
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Project description:affy_petaldvt_lyon_rose. The objective is to identify genes involved in petal development in rose. We aim at identifying genes whose expression correlates with flower opening and scent emission. In this study, we used a microarray approach to compare the transcriptome of a scented rose flower (PF) versus non-scented rose flower (RF). Samples (petal tissues) were collected at the same time early in the afternoon. Total RNA was extracted using the Plant RNA kit (Macherey Nagel), and then used to hybridize Rosa-Affymetrix microarrays. Keywords: scented vs non-scented flowers
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