Oryza sativa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA97457 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
2012-05-01 | GSE5978 | GEO
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
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
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
Project description:Comparative transcriptome profiling of chilling stress responsiveness in two contrasting rice genotypes
| PRJNA167100 | ENA
Project description:Climate change is affecting the unprecedented drought scenario and frequent occurrence of pathogen infection in rice. Simultaneous occurrence of these stresses could lead to more crop loss. Transcription response of genes involved in combined stress would provide relevant candidate gene to develop climate resilient rice. We report individual drought, Xoo infection and combined stress on rice. RNA Seq of contrasting genotypes BPT5204 and TN1 has revealed many candidate genes. A meta-analysis further filtered out some candidate genes which could be used for breeding programme. Several genes identified were already characterized by other groups for individual stress condition. However the genes involved in drought and pathogen infection could be further used for genetic manipulation studies in future.
2022-06-16 | GSE197133 | GEO
Project description:One of the serious constraints to realize high level of rice crop productivity in Indian agriculture has been due to soil moisture stress (SMS) situation that growing plants often face. In order to increase or maintain the crop productivity in SMS situation our initial aim is to understand the drought response mechanism in different genotypes of rice. For thorough analysis of SMS situation in rice we have taken here two wild genotypes of rice namely Oryza nivara, Oryza rufipogan and three Indian cultivar namely Oryza Nagina-22, Oryza IR20 and Oryza Vandana, where IR20 is known to be susceptible and Vandana is known to be tolerant under SMS condition. Global analysis of transcript profiling under SMS condition reveal the actual picture of genes responsive to stress situation in different genetic background of rice. Furthermore it would help us in the selection of most desirable resource for crop breeding without compromising the yield of crop. We used the 44k rice Oligoarray from Agilent technologies to study the transcript profiling from five genotypes of rice under control, soil moisture stress and after recovery conditions during vegetative and grainfilling phase.Here in case of Nagina-22 we have taken grainfilling stage.
2016-04-01 | GSE49364 | GEO
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 Four samples with RWC in the range of 94–95% (no stress, D0), 83–88% (slight drought in which leaves were slightly rolled, D1), 74–78% (moderate drought in which about half of each leaf was rolled, D2), and 65–69% (severe drought in which all leaves were completely rolled, D3) were collected for expression profiling analysis using an Affymetrix GeneChip.
2011-11-05 | E-GEOD-25176 | biostudies-arrayexpress
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
Project description:In this study, we analysed the proteomic response of 5mm sections of root tips to water-deficit stress in two contrasting genotypes of rice: IR64, a lowland, drought-susceptible, and shallow-rooting genotype; and Azucena, an upland, drought-tolerant, and deep-rooting genotype. Using a Partial Least Square Discriminant Analysis, we identified statistically significant differentially abundant proteins across genotypes and conditions. Analysis of biological processes led to the identification of novel proteins involved in root elongation with specific expression patterns in Azucena.
2022-08-11 | PXD033343 | Pride