Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Chenopodium amaranticolor

ABSTRACT: Chenopodium amaranticolor overview

PROVIDER: PRJNA189986 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR503600_1.fastq.gz	Fastqsanger.gz
	SRR503600_2.fastq.gz	Fastqsanger.gz
	SRR503601.fastq.gz	Fastqsanger.gz
	SRR503602.fastq.gz	Fastqsanger.gz
	SRR503603.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 7

Similar Datasets

Chenopodium ficifolium

Project description:Chenopodium ficifolium overview

| PRJNA727048 | ENA

Chenopodium album

Project description:Chenopodium album overview

| PRJNA664851 | ENA

Chenopodium quinoa

Project description:Chenopodium quinoa Organism overview

| PRJNA83823 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Chenopodium quinoa Transcriptomes

Project description:We generated 70.9 Gb of high-quality sequencing data (~7.88 Gb per sample) and catalogued the expression profiles of 54，238 annotated Chenopodium quinoa genes in each sample. These genes have known or potential roles in the roots, stems, and leaves of quinoa. Therefore, we are appealing candidates for further investigation of the gene expression and associated regulatory mechanisms.

2022-03-03 | GSE156523 | GEO

Chenopodium

Project description:Chenopodium quinoa mutant analysis

| PRJDB8121 | ENA

Chenopodium suecicum isolate:BYU_1480

Project description:Chenopodium suecicum isolate:BYU_1480 Organism overview

| PRJNA345044 | ENA

Expression profiles of ABA treated bladder and leaf samples of Chenopodium quinoa

Project description:In this project, leaves and EBCs of the halophyte plant Chenopodium quinoa were treated with ABA. The effect of the ABA treatment was analyzed by comparing to non-treated leaves and EBCs.

2022-05-10 | E-MTAB-10419 | biostudies-arrayexpress

De novo characterization of foliar transcriptome in Chenopodium amaranticolor and analysis of the differentially expressed genes during the stage of hypersensative response induced by distinct plant viruses

Project description:The hypersensitive response (HR) system of Chenopodium spp. confers broad-spectrum virus resistance. However, scant knowledge exists at the genomic level for Chenopodium, thus impeding the advanced molecular research of this attractive feature. Hence we took advantage of RNA-seq to survey the foliar transcriptome of C. amaranticolor, one Chenopodium species being widely used as laboratory indicator for pathogenic viruses, in order to facilitate the characterization of the HR-type of virus resistance. In a single run, we obtained 39,868,984 reads with 3,588,208,560 bp, which were assembled into 112,453 unigenes (3,848 clusters and 108,605 singletons). BlastX search against the NCBI NR database identified 62,482 sequences with a cut-off E-value above 10-5. Assembled sequences were annotated with gene descriptions, GO, COG and KEGG terms. A dataset containing 738 resistance gene analogs and sequences represent 6 key signaling proteins within the R proteins-directed signaling pathway was generated. Additionally, using RNA-Seq digital gene expression analysis, we investigated the gene expression profiles over the stage of HR induced by Tobacco mosaic virus and Cucumber mosaic virus in C. amaranticolor leaves, and identified numerous candidate genes specifically or commonly regulated by these two distinct viruses at early and late stages of the HR. Specifically, the dynamic changes of the differently expressed genes enriched in the pathway of plant-pathogen interaction were analyzed. To our knowledge, this is the first study to elucidate the genetic makeup of Chenopodium spp., providing a starting-point for future functional genomics studies on Chenopodium.

2013-02-20 | GSE38451 | GEO