Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Upland rice seeds

ABSTRACT: High-throughput sequencing-based analysis of the composition and diversity of endophytic bacterial community in seeds of upland rice in border area of Yunnan Province

PROVIDER: PRJNA688367 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13319808_1.fastq.gz	Fastqsanger.gz
	SRR13319808_2.fastq.gz	Fastqsanger.gz
	SRR13319809_1.fastq.gz	Fastqsanger.gz
	SRR13319809_2.fastq.gz	Fastqsanger.gz
	SRR13319810_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 72

Similar Datasets

upland soil

Project description:upland soil Metagenome

| PRJNA437209 | ENA

seeds of saline-alkali tolerant rice

Project description:High-throughput sequencing-based analysis of the composition and diversity of endophytic bacterial community in seeds of saline-alkali tolerant rice

| PRJNA693573 | ENA

Seeds bacteria of Glycine max

Project description:Seeds endophytic bacteria of Glycine max Raw sequence reads

| PRJNA1019790 | ENA

red upland soil

Project description:red upland soil Assembly

| PRJNA553863 | ENA

cDNA array expression profile of wild-type and fl-mutant upland cotton ovules

Project description:Comparison of gene expression profiles of wild-type and fl-mutant upland cotton ovules Keywords: repeat samples

2006-01-01 | GSE2901 | GEO

The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions [DAP-seq]

Project description:Genomic diversity is a source of transcriptomic and phenotypic diversities. Although genomic variations in rice (Oryza sativa) accessions have been extensively analyzed, information of transcriptomic and phenotypic variations, especially for below-ground variations, are limited. Here, we report the diversities of above- and below-ground traits and transcriptomes in highly diversified 61 rice accessions grown in the upland-field. We found that phenotypic variations were explained by four principal components and that tiller numbers and crown root diameters could summarize admixture groups. Transcriptome analysis revealed that admixture-group-associated differentially expressed genes were enriched with stress response related genes, suggesting that admixture groups have distinct stress response mechanisms. Root growth was negatively correlated with auxin inducible genes, suggesting the association between auxin signaling and mild drought stress. Negative correlation between crown root diameters and stress response related genes suggested that thicker crown root diameter is associated with mild drought stress tolerance. Finally co-expression network analysis implemented with DAP-seq analysis identified phytohormone signaling network and key transcription factors negatively regulating crown root diameters. Our datasets would serve as an important resource for understanding genomic and transcriptomic basis of phenotypic variations under the upland-field condition.

2021-03-07 | GSE162312 | GEO

The transcriptomic landscapes of rice cultivars with diverse root system architectures grown in upland field conditions [RNA-seq]

2021-03-07 | GSE162311 | GEO

Project description:Investigation on Midges (Ceratopogouidae) carrying virus in some border areas of Yunnan Province

| PRJNA1044033 | ENA

Identification of drought responsive genes at reproductive stage in upland rice variety Nagina22 through comparative microarray analysis

Project description:In the current study we did microarray of upland rice cultivar Nagina22 for drought stress at reproductive stage (panicle initiation) and analyzed drought stress responsive genes. We have taken flag leaf for our study as it is most essential organ for photosynthesis in rice. Normal watering Vs Drought Stress Flag leaf of Control (Three biological replicates) plant of Nagina22: C1, C2, C3 Flag leaf of drought stressed (Three biological replicates) plant of Nagina 22: S1, S2, S3

2017-12-25 | E-MTAB-4994 | biostudies-arrayexpress

LC-MS/MS data of tree foliar samples in Yang Jie lab from Sun Lu - 2023

Project description:A spectrum dataset with 329 tree leaf samples and a blank control file from Yunnan Province, Southwest China. Collection and extraction was completed in Yang Jie Group

| MSV000092950 | MassIVE

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