Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Oryza sativa

ABSTRACT: Comparative analysis of bacterial communities in two rice cultivars

PROVIDER: PRJDB17244 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR520567_1.fastq.gz	Fastqsanger.gz
	DRR520567_2.fastq.gz	Fastqsanger.gz
	DRR520568_1.fastq.gz	Fastqsanger.gz
	DRR520568_2.fastq.gz	Fastqsanger.gz
	DRR520569_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Oryza sativa

Project description:Comparative Analysis of Seed Transcriptomes of Ambient Ozone-Fumigated Two Different Rice Cultivars

| PRJNA215708 | ENA

Oryza sativa

Project description:Comparative Analysis of Seed Transcriptomes of Ambient Ozone-Fumigated Two Different Rice Cultivars

| PRJNA162671 | ENA

Oryza sativa Transcriptome or Gene expression

Project description:In this study, we analyzed the early response of two rice cultivars to infection by RSV (Rice stripe virus) and its carrier at the transcriptome level using next-generation deep-sequencing techniques. We investigated the alteration in gene expression between a disease-resistant cultivar and a susceptible cultivar before and after inoculation with RSV by co-culturing with Laodelphax striatellus for 48 h. Our study provides insight at the molecular level into the mechanism of development of rice stripe disease, which contributes to our understanding of the rice-RSV interaction.

2013-08-21 | E-MTAB-4392 | biostudies-arrayexpress

Oryza sativa

Project description:Comparative sequence analysis of the Stvb locus among rice cultivars

| PRJDB10673 | ENA

Identification of known and novel miRNAs in the salt tolerant rice Oryza sativa cv. Pokkali in root and shoots of control and NaCl exposed seedlings

Project description:The advent of next generation sequencing (NGS) has greatly enriched the database of miRNAs. For plants so far 8455 miRNAs sequences from 73 species and 15401 miRNAs sequences from 150 species have been deposited in miRBase 21.0 and Plant Non-coding RNA Database, respectively. The occurrence of miRNAs in such a huge number, which is still increasing, is because of the fact that the profile of miRNAs expression differs greatly from species to species, both quantitatively and qualitatively. Besides, even within a species it is expected that the miRNA expression profile would differ from cultivar to cultivar depending on the trait with regard to which the two cultivars differ, and on the same logic it is also expected that their expression profile would differ considerably in the plant under contrasting environmental conditions. However, report on comparative study of expression profile of miRNAs in rice cultivars, or in any crop cultivars, contrast for salt tolerance, or tolerance to any abiotic stress is scant. Therefore, the current study was planned to see the expression profile of miRNAs in a salt-tolerant rice (Oryza sativa L. ssp indica) cultivar (cv.) Pokkali in presence and absence of NaCl and to check the response pattern of a few important salt-responsive miRNAs in a salt-sensitive rice cultivar Badami in order to identify the miRNAs and their targets that could be involved in the salt tolerance process

2019-07-06 | GSE133866 | GEO

Proteomic analysis response of rice (Oryza sativa) leaves to ultravoilet (UV-B) stress

Project description:Rice (Oryza staiva) is staple food for the human consumption and model plants for genetic and molecular studies. Only few studies have been conducted on ultraviolet-B (UV-B) stress on rice. UV-B stress effects different morphological and physiological changes in plants. However, underlying mechanisms governing these integrated responses are unknown. In this study, we conducted proteomic response of rice leaves to UV-B stress using two-dimensional gel electrophoresis and identified the selected proteins by mass spectrometry analysis. To identify changes in protein accumulation in response to UV-B stress, two cultivars, i.e., IR6 and REX were irradiated by artificial UV-B radiation. Four 4 levels of daily biologically effective UV-B radiation intensities, 0 (control), 5, 10, and 15 kJ m-2 d-1 were imposed. We conducted this experiment in Sunlit Soil-Plant-Atmosphere-Research (SPAR) chambers to mimic the natural environment.

2022-10-14 | PXD032163 | Pride

Oryza sativa-Magnaporthe grisea interaction

Project description:5 leaves old rice plantlets were infected with Magnaporthe grisea spores and zero, two hours and twenty four houres after infection samples were collected

2014-01-31 | GSE50454 | GEO

Oryza sativa cultivar:japonica Transcriptome or Gene expression

Project description:Comparative transcriptome analysis among closely related rice strains

2014-10-27 | E-MTAB-4280 | biostudies-arrayexpress

Genotype variation in rice (Oryza sativa L.) tolerance to Fe toxicity might be linked to root cell wall lignification

Project description:Iron (Fe) is an essential element to plants, but can be harmful if accumulated to toxic concentrations. Fe toxicity can be a major nutritional disorder in rice (Oryza sativa) when cultivated under waterlogged conditions, as a result of excessive Fe solubilization of in the soil. However, little is known about the basis of Fe toxicity and tolerance at both physiological and molecular level. Here we aim at understand the genotypic differences in two rice cultivars with contrasting phenotypes under Fe toxicity.

2019-05-16 | GSE131287 | GEO

Oryza Sativa and Magnaporthe Grisea LongSAGE

Project description:LongSAGE library in this series are from 'Whole Genome Analysis of Pathogen-Host Recognition and Subsequent Responses in the Rice Blast Patho-System' project. This work is supported by NSF-PGRP #0115642. Keywords: other

2004-11-08 | GSE1924 | 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