Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Osmanthus serrulatus

ABSTRACT: fragrant flowering plant of China

PROVIDER: PRJNA289387 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2094702_1.fastq.gz	Fastqsanger.gz
	SRR2094702_2.fastq.gz	Fastqsanger.gz
	SRR2094708_1.fastq.gz	Fastqsanger.gz
	SRR2094708_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Osmanthus serrulatus

Project description:Osmanthus serrulatus Raw sequence reads

| PRJNA289284 | ENA

Osmanthus fragrans

Project description:Fragrant olive genome

| PRJNA494995 | ENA

The complete chloroplast genome of <i>Osmanthus serrulatus</i> rehd., a natural sweet olive endemic to China.

Project description:Osmanthus serrulatus is an endemic tree in southwest China. Here, the complete chloroplast genome of this species was assembled and characterised from high-throughput data. The entire circular genome of O. serrulatus was 155,465 bp in size, which composed of large single-copy (LSC) and small single-copy (SSC) regions of 86,545 bp and 17,494 bp, respectively, and separated by a pair of inverted repeat (IR) regions of 25,713 bp each. The genome contained 133 genes, including 88 protein-coding genes, 37 tRNA genes, and eight rRNA genes. The overall GC content of the genome is 37.8%. A phylogenetic tree reconstructed by 35 chloroplast genomes reveals that O. serrulatus is most related with O. yunnanensis.

| S-EPMC7707269 | biostudies-literature

Temporal changes of floral color and expression of carotenoids-related genes in flower petal of Osmanthus fragrans var. semperflorens : using de novo transcriptome sequencing

Project description:Genes of carotenoids biosynthetic pathway were inspected in different flowering stages of two flowering rounds. And we found core genes are regulated under different patterns in the two flowering rounds.

2019-12-05 | GSE90911 | GEO

Dianthus caryophyllus

Project description:flowering plant

| PRJNA172775 | ENA

Transcriptome analysis of 12 flowering ecotypes of Capsella bursa-pastoris

Project description:We used a digital gene expression (DGE) system to generate partial gene expression profiles for 12 selected samples. Significant differences in gene expression between early- and late-flowering samples were detected for 72 candidate genes for flowering time. Genes related to circadian rhythms were significantly overrepresented among the differentially expressed genes. Our data suggest that circadian clock genes play an important role in the evolution of flowering time, and C. bursa-pastoris plants exhibit expression differences for candidate genes likely to affect flowering time across the broad range of environments they face in China. Digital gene expression analysis was performed on RNA from 12 different flowering samples of C. bursa-pastoris. These samples are from different areas, 6 of which represent early-flowering ecotypes, and the other 6 samples represent late-flowering samples

2012-03-13 | E-GEOD-28624 | biostudies-arrayexpress

Transcriptome analysis of 12 flowering ecotypes of Capsella bursa-pastoris

2012-03-13 | GSE28624 | GEO

Volatile metabolome and floral transcriptome analyses reveal the volatile components of strongly fragrant progeny of Malus robusta Rehder

Project description:To study the floral volatile compounds of standard Malus robusta flowers (Mr), and its progeny with strongly and weakly fragrant flowers

2023-01-10 | GSE216719 | GEO

Viola

Project description:Viola, flowering plant Transcriptome

| PRJNA345302 | ENA

MicroRNA expression during somatic embryogenesis in Arabidopsis

Project description:The microarray test aims to find the miRNAs involved in somatic embryogenesis in Arabidopsis. The plant microRNA array V2.0 (CapitalBio Corp., Beijing, China) contained 426 non-reduplicated plant miRNA probes, including 188 in Arabidopsis. Finally, 75 plant miRNAs expressed differentially, 36 increased and 39 decreased included.

2012-02-13 | GSE35759 | 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