Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Transcriptome sequencing data of leaves, stems and grains of foxtail millet

PROVIDER: PRJNA982974 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24901500_1.fastq.gz	Fastqsanger.gz
	SRR24901500_2.fastq.gz	Fastqsanger.gz
	SRR24901501_1.fastq.gz	Fastqsanger.gz
	SRR24901501_2.fastq.gz	Fastqsanger.gz
	SRR24901502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 90

Similar Datasets

Transcriptome sequencing of Foxtail millet Setaria italica for different tissues

Project description:Transcriptome sequencing of Foxtail millet Setaria italica (Zhang-gu) for different tissues.

2012-03-31 | GSE36391 | GEO

Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits and anti-inflammatory effects

Project description:Foxtail millet, domesticated from the wild species green foxtail, provides a rich source of phytonutrients for humans. To evaluate how breeding changed the metabolome of foxtail millet grains, we generated and analyzed datasets encompassing genomes, transcriptomes, metabolomes and anti-inflammatory indices from 398 foxtail millet accessions. We identified hundreds of common variants that influence numerous secondary metabolites, with significant heterogeneity in the natural variation of metabolites and their underlying genetic architectures between different sub-groups of foxtail millet. The combined results from variations in genome, transcriptome and metabolome illustrated how breeding has altered foxtail millet metabolite content. Selection for alleles of genes associated with yellow grains led to altered metabolite profiles, such as carotenoids and endogenous hormones. The importance of PSY1 (phytoene synthase 1) for millet color was validated using CRISPR-Cas9. The in vitro cell inflammation assay showed that 83 metabolites have anti-inflammatory effects. This multi-omics study illustrates how the breeding history of foxtail millet has impacted metabolites. It provides some fundamental resources for understanding how grain quality could be associated with different metabolites, and highlights future perspectives on millet genetic research and metabolome-assisted improvement.

2022-05-09 | ST002168 | MetabolomicsWorkbench

Transcriptome sequencing of Foxtail millet Setaria italica for different tissues

Project description:Transcriptome sequencing of Foxtail millet Setaria italica (Zhang-gu) for different tissues. Four RNA pools were created corresponding to four different tissues: root, leaf, stem, spica (tassel) at developmental stage, then each pool was sequenced.

2012-03-31 | E-GEOD-36391 | biostudies-arrayexpress

Whole genome sequencing of six strains of Philippine local foxtail millet (Setaria italica) accessions

Project description:The study aims to identify molecular variations across these six lines of foxtail millet.

2023-02-15 | E-MTAB-12658 | biostudies-arrayexpress

Whole genome sequencing of two strains of Philippine local foxtail millet (Setaria italica) accessions

Project description:The study aims to identify molecular variations across these six lines of foxtail millet.

2023-06-10 | E-MTAB-13027 | biostudies-arrayexpress

Project description:Sequencing data of foxtail millet yellow leaves

| PRJNA809036 | ENA

Project description:foxtail millet yellow leaves

| PRJNA809753 | ENA

Transcriptome Analysis of Responses to Saline-Alkali Stress in Two Different Genotypes of foxtail millet (Setaria italica L.)at the Seedling Stage

Project description:We present here a transcriptome dataset of millet seedling leaves based on RNA-seq technology. The purpose of this study was to mine the salt and alkali tolerance genes of millet and further explore the mechanism of salt and alkali tolerance of millet. We selected 18 representative samples and conducted in-depth sequencing using the latest sequencing platform to ensure the accuracy and reliability of the data.

2024-10-10 | GSE278652 | GEO

Project description:RNA-seq of two foxtail millet grains

| PRJNA673778 | ENA

Project description:Transcriptome data of foxtail millet

| PRJNA751769 | ENA