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

ABSTRACT: 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

ORGANISM(S): Oryza sativa Oryza sativa Japonica Group

PROVIDER: GSE5978 | GEO | 2012/05/01

SECONDARY ACCESSION(S): PRJNA97457

REPOSITORIES: GEO

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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

Drought responsive transcriptome profiling in roots of contrasting rice genotypes IR20 and Nootripathu

Project description:Drought avoidance mechanism is one of the component mechanisms contributing for drought tolerance in which roots serves as the master keys, but poorly understood. Comparative analysis of drought stress responsive root transcriptome between drought-tolerant Nootripathu and drought-susceptible IR20 In this study, we used microarrays to dissect out drought responsive changes in roots of two contrasting rice genotypes viz., IR 20 (a shallow rooted lowland indica genotype) and Nootripathu (a deep rooted upland indica genotype) at molecular level.

2018-04-01 | GSE92883 | GEO

Proteomic responses to drought vary widely among eight diverse genotypes of rice (Oryza sativa)

Project description:Rice is a critically important food source but yields worldwide are vulnerable to periods of drought. We exposed eight genotypes of upland and lowland rice (Oryza sativa L. ssp. japonica and indica) to drought stress at the late vegetative stage and harvested leaves for protein extraction and subsequent label-free shotgun proteomics. Gene ontology analysis revealed some differentially expressed proteins were induced by drought in all eight genotypes; we speculate that these play a universal role in drought tolerance. However, some highly genotype-specific patterns of response to drought suggest that some mechanisms of metabolic reprogramming are not universal. Such proteins had largely uncharacterized functions, making them biomarker candidates for drought tolerance screens.

2020-01-17 | PXD016150 | Pride

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

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

Root-specific transcriptional profiling of contrasting rice genotypes in response to salinity stress

Project description:Analysis of root gene expression of salt-tolerant genotypes FL478, Pokkali and IR63731, and salt-sensitive genotype IR29 under control and salinity-stressed conditions during vegetative growth. Results provide insight into the genetic basis of salt tolerance in indica rice. Keywords: stress response

2009-07-16 | GSE14403 | GEO

Expression data from rice varieties IRAT109 and ZS97 for drought stress treatment in flag leaves

Project description:Comparative transcriptional profiling of two contrasting rice genotypes,IRAT109 (drought-resistant japonica cultivar) and ZS97 (drought-sensitive indica cultivar), under drought stress during the reproductive stage

2011-11-05 | GSE25176 | GEO

Transcriptome dynamics of rice spikelets under heat stress treatment

Project description:Rice reproductive development is highly sensitive to high temperature stress. In rice flowering occurs over a period of at least 5 days. Heat stress alters the global gene expression dynamics in panicle especially during pollen development, anthesis and grain filling. Some of the rice genotypes like Nagina 22 show better spikelet fertility and grain filling compared to high yielding and popular rice cultivars like IR 64. We carried out microarray analysis of 8 days heat stressed panicles of Nagina22, heat and drought tolerant aus rice cultivar and IR64, a heat susceptible indica genotype along with unstressed samples of Nagina22 and IR64 so as to understand the transcriptome dynamics in these two genotypes under heat stress and to identify the genes important for governing heat stress tolerance in rice.

2021-01-31 | GSE136746 | 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

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