Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deep RNAseq indicates protective mechanisms of cold-tolerant indica rice plants during early vegetative stage

ABSTRACT: Low temperature exposure during early vegetative stages limits rice plant’s growth and development. Most genes previously related to cold tolerance in rice are from the japonica subspecies. To help clarify the mechanisms that regulate cold tolerance in young indica rice plants, comparative transcriptome analysis of 6 h cold-treated leaves from two genotypes, cold-tolerant and cold-sensitive, was performed. The cold-tolerant and cold-sensitive genotypes were previously characterized, and are sister lines (derived from the same crossing).

ORGANISM(S): Oryza sativa Indica Group

PROVIDER: GSE103480 | GEO | 2017/09/06

SECONDARY ACCESSION(S): PRJNA401749

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptional profiling of shoots and roots in japonica and indica rice seedlings under cold stress and recovery stage

Project description:Rice seedlings at 3-leaf stage were used for expression analysis in control and cold stressed (incloudling cold treatment for 3, 24hrs and recovery from cold stress for 24hrs) samples. Samples of shoots and roots from biological replicates of both genotypes were generated and the expression profiles were determined using Phalanx Rice OneArrayM-oM-<M- v1. Control and treated biological replicates of cold-tolerant cultivar TNG67 (japonica) and cold-sensitive cultivar TCN1 (indica) were analyzed

2014-10-15 | E-GEOD-57895 | biostudies-arrayexpress

Transcriptional profiling of indica rice cultivar FR13A under salt stress condition.

2007-12-21 | GSE6600 | GEO

Transcriptional profiling of indica rice cultivar FR13A under submergence treatment.

2007-11-24 | GSE6362 | GEO

Acidianus filamentous virus 2

Project description:Cold stress greatly affects plant growth and crop yield. To identify novel genes and possible mechanisms involved in chilling tolerance responses in rice seedlings, RNA sequencing (RNA-seq) technology was used for genome-wide gene expression profiling analysis to compare three cold-tolerant genotypes and one cold-sensitive genotype under both normal temperature and cold stress treatments.

2013-07-11 | E-MTAB-4407 | biostudies-arrayexpress

Comparative Morphophysiological Analyses and Molecular Profiling Reveal ‘Pi-Efficient Strategies’ of a Traditional Rice Genotypefor Low Phosphorus Tolerance in Traditional indica Rice

Project description:Phosphate (Pi) deficiency severely affects crop yield. Modern high yielding rice genotypes are sensitive to Pi deficiency whereas traditional rice cultivars are naturally compatible to low Pi ecosystems. However, the underlying molecular mechanisms for low Pi tolerance in traditional genotypes remain largely elusive. To delineate the molecular mechanisms for low Pi tolerance, two contrasting rice genotypes - Dular (low Pi tolerant) and PB1 (low Pi sensitive) - have been selected. Comparative morphophysiological, global transcriptome and lipidome analyses of root and shoot tissues of both genotypes raised under Pi deficient and sufficient conditions revealed the potential low Pi tolerance mechanisms of traditional genotype. Most of the genes associated with enhanced internal Pi utilization (phospholipid remobilization) and modulation of root system architecture (RSA) are highly induced in traditional rice genotype, Dular. Higher reserve of phospholipid and greater accumulation of galactolipids under low Pi in Dular indicated its better internal Pi utilization. Furthermore, Dular also maintained better root growth than PB1 under low Pi resulting in larger root surface area due to increased lateral root density and root hair length. Genes involved in enhanced low Pi tolerance of traditional genotype can be exploited to improve the low Pi tolerance of modern high yielding rice cultivars.

2016-01-29 | GSE74795 | GEO

Transcription profiling of indica rice cultivar FR13A under salt stress condition.

Project description:A submergence tolerant indica rice cultivar FR13A, was also reported to withstand salt stress and proven in our experiments. The mechanism of tolerance is yet to be studied by forward genetics approach. However, it is known that salt stress tolerance is governed by several QTLs and not by a single gene. To understand the mechanism of such a complex mechanism of salt tolerance we selected, two indica rice genotypes namely, I) FR13A, a tolerant indica variety and ii) IR24, a susceptible genotype for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under constitutive and salt stress conditions at seedling stage. Experiment Overall Design: We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice plant tissues during salt stress treatment. We used two contrasting rice genotypes (FR13A tolerant and IR24 susceptible) differing in salt stress response. Plants were grown in growth chambers and treated with 150 mM salt concentration at 14th DAS. Sampling was done in both constitutive and treated plants at 3 time points. Two replications of microarray experiments were carried out by hybridizing the RNA from tolerant samples against the susceptible lines on the same slide.

2008-06-15 | E-GEOD-6600 | biostudies-arrayexpress

Transcript profiling of drought responsiveness in two contrasting rice genotypes during vegetative stage stress

2012-05-01 | GSE5978 | GEO

Transcription profiling of indica rice cultivar FR13A under submergence treatment.

Project description:An indica rice cultivar FR13A, is widely grown as submergence tolerant variety and can withstand submergence up to two weeks. The tolerance is governed by a major QTL on chromosome 9 and represented as sub1. Recently the gene for sub1 has been mapped and cloned. However, the trait is governed by several QTLs and not by a single gene. To understand the mechanism of submergence tolerance we selected, two indica rice genotypes namely, I) FR13A, a tolerant indica variety and ii) IR24, a susceptible genotype for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under constitutive and submerged conditions at seedling stage. SUBMITTER_CITATION: Combining In Silico Mapping and Arraying: an Approach to Identifying Common Candidate Genes for Submergence Tolerance and Resistance to Bacterial Leaf Blight in Rice. Mol. Cells 2007 24:394-408. Experiment Overall Design: We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during submergence treatment. We used two contrasting rice genotypes (FR13A tolerant and IR24 susceptible) differing in submergence response. Plants were grown in growth chambers and treated by submerging the plants in transparent polythene bags on14th DAS. Leaf sampling was done in both constitutive and treated plants at 3 time points. Two replications of microarray experiments were carried out by hybridizing the RNA from tolerant samples against the susceptible lines.

2008-06-14 | E-GEOD-6362 | biostudies-arrayexpress

Transcriptional profiling of shoots and roots in japonica and indica rice seedlings under salt stress and recovery stage

Project description:Rice seedlings at 3-leaf stage were used for expression analysis in control and salt stressed (incloudling salt treatment for 3, 24hrs and recovery from cold stress for 24hrs) samples. Samples of shoots and roots from biological replicates of both genotypes were generated and the expression profiles were determined using Phalanx Rice OneArrayï¼ v1. Control and treated biological replicates of salt-tolerant cultivar TNG67 (japonica) and salt-sensitive cultivar TCN1 (indica) were analyzed

2016-06-30 | E-GEOD-76613 | biostudies-arrayexpress

Transcript profiling of drought responsiveness in two contrasting rice genotypes during vegetative stage stress

Project description:Rice (Oryza sativa), the major staple food crop is being cultivated under varying ecosystems ranging from irrigated lowland to rainfed upland environments. Improvement in the rice production under drought prone unfavourable environment depends on the development of drought tolerant genotypes which needs thorough understanding of physiological and molecular events behind the tolerance mechanism. There is considerable genetic variation for drought tolerance mechanism within the cultivated gene pool. To understand the diversity of drought response, two indica rice genotypes namely, i) Apo, an up-land drought tolerant indica veriety from Philippines and ii) IR64, a popular high yielding drought susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under control and drought stressed conditions during vegetative phase. Keywords: Drought response We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during drought stress. We used two contrasting rice genotypes (IR64 drought susceptible and Apo drought tolerant) differing in their degree of drought tolerance. Plants were grown under green house conditions and drought stress was imposed on 33rd DAS. Leaf sampling was done in both control and drought stressed plants after 6 days of drought stress. Three replications of microarray experiments were carried out by hybridizing the control samples against the drought stressed samples.

2012-04-30 | E-GEOD-5978 | biostudies-arrayexpress

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