Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima]

ABSTRACT: Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima]

PROVIDER: PRJNA436737 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6799521_1.fastq.gz	Fastqsanger.gz
	SRR6799521_2.fastq.gz	Fastqsanger.gz
	SRR6799522_1.fastq.gz	Fastqsanger.gz
	SRR6799522_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima]

Project description:Here, de novo transcriptome assemblies for leaf and flower tissues of Forsythias were performed, resulting in 81913 unigenes of F. suspensa, 88491 unigenes of F. viridissima and 69458 unigenes of F. koreana (F. viridissima var. koreana). Classification of the annotated unigenes by gene ontology terms and KEGG pathways was used to explore transcriptomic differences among the Forsythias. Orthogroup was introduced to compare expression levels of unigenes in tissues from different species, which unveiled that three leaf tissues of Fosythias were closely correlated based on expression values of orthologous unigenes. Showing high expression mainly in leaves of F. viridissima and F. koreana, candidate homologs for genes involved in the biosynthetic pathway of lignans and phenylethanoid glycosides were determined in these transcriptome assemblies.

2018-06-01 | GSE111372 | GEO

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima var. koreana]

2018-06-01 | GSE111374 | GEO

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima var. koreana]

Project description:Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia viridissima var. koreana]

| PRJNA436736 | ENA

Forsythia viridissima

Project description:Forsythia viridissima overview

| PRJNA940238 | ENA

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia suspensa]

2018-06-01 | GSE111371 | GEO

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia suspensa]

Project description:Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms [Forsythia suspensa]

| PRJNA436735 | ENA

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms

Project description:Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms

| PRJNA436732 | ENA

Comparative transcriptome analyses of three medicinal Forsythia species and prediction of candidate genes involved in secondary metabolisms

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-06-01 | GSE111376 | GEO

Aegithina viridissima

Project description:Aegithina viridissima

| PRJNA917670 | ENA

Project description:Forsythia viridissima

| PRJNA733688 | ENA