Oryza sativa
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ABSTRACT:
PROVIDER: PRJNA313507 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptome profile for spikelets of rice plants subjected to severe reproductive stage drought stress
| PRJNA313510 | ENA
Project description:To understand how the qDTY12.1 interacts with other genes within the genome to give better physiological adaptations and better yield; the leaves transcriptome of DTY12.1 parents (Vandana , Way Rarem) and DTY12.1 NIL (481-B) were compared under control and drought conditions. Drought induced gene expression was studied in the leaves of the rice plants subjected to severe reproductive stage drought. Seeds of Vandana, Way Rarem, and 481-B were sown into rotovated soil at a rate of 2.0 g m-1 into plots of 3 rows X 3 m. The three genotypes were sown in three replications in a randomized complete block design.
2016-03-01 | E-GEOD-78776 | biostudies-arrayexpress
Project description:The severity of impact of drought on crops is contingent on the developmental stage of the plant, with the most sensitive stage being the reproductive stage. Hence, gene expression profiling has been used to understanding drought response and resistance mechanism in rice. Here we present drought transcriptomes of rice in three developmental stages and gain insights into the processes and regulatory mechanisms involved in common and stage specific drought responses. Total RNA was isolated from the rice seedlings, vegetative (V4) and reproductive (R4) tissues of both control and stress treated plants for hybridization on Affymetrix microarrays. Two independent replicates for seedling and reproductive stages, and three replicates for vegetative stages were generated, for both control and stress samples. For drought treatments, plants were gradually subjected to field drought conditions in order to reach 50% field capacity (FC) by regulating water supply, whereas control plants were maintained at 100% FC.
2016-07-20 | E-GEOD-81253 | 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 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:Global gene expression analysis of AtDREB1A transgenic rice line (TL4) at reproductive stage under drought stress was conducted using microarray to explore the drought stress-responsive transcription pathways. Drought stress was imposed at late vegetative stage till booting of the plants. Flag leaf was collected on 14th day of the drought stress. Drought stress was imposed on T3 plants of two homozygous transgenic rice events of PS2 and NT plants by withholding irrigation for 14 days in the National Phytotron Facility, IARI.
2018-04-29 | E-MTAB-5700 | biostudies-arrayexpress
Project description:Plants show a high degree of developmental plasticity in response to external cues, including day length and environmental stress. Water scarcity in particular can interfere with photoperiodic flowering, resulting in the acceleration of the switch to reproductive growth in several species, a process called drought escape. However, other strategies are possible and drought stress can also delay flowering, albeit the underlying mechanisms have never been addressed at the molecular level. We investigated these interactions in rice, a short day species in which drought stress delays flowering. A protocol that allows the synchronization of drought with the floral transition was set up to profile the transcriptome of leaves subjected to stress under distinct photoperiods. We identified clusters of genes that responded to drought differently depending on day length. Exposure to drought stress under floral-inductive photoperiods strongly reduced transcription of EARLY HEADING DATE 1 (Ehd1), HEADING DATE 3a (Hd3a) and RICE FLOWERING LOCUS T 1 (RFT1), primary integrators of day length signals, providing a molecular connection between stress and the photoperiodic pathway. However, phenotypic and transcriptional analyses suggested that OsGIGANTEA (OsGI) does not integrate drought and photoperiodic signals as in Arabidopsis, highlighting molecular differences between between long and short day model species.
2017-03-01 | GSE78972 | GEO
Project description:To understand how the qDTY12.1 interacts with other genes within the genome to give better yield under drought; the spikelets transcriptome of DTY12.1 parents (Vandana , Way Rarem) and DTY12.1 NIL (481-B) were compared under control and drought conditions. Drought induced gene expression was studied in the spikelets of the rice plants subjected to severe reproductive stage drought. Seeds of Vandana, Way Rarem, and 481-B were sown into rotovated soil at a rate of 2.0 g m-1 into plots of 3 rows X 3 m. The three genotypes were sown in three replications in a randomized complete block design.
2016-03-01 | E-GEOD-78777 | 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:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling.
2012-11-10 | GSE40604 | GEO
Project description:Rice is highly sensitive to drought, and the effect of drought may vary with the different genotypes and development stages. Genome-wide gene expression profiling was used as the initial point to dissect molecular genetic mechanism of this complex trait and provide valuable information for the improvement of drought tolerance in rice. Affymetrix rice genome array containing 48,564 japonica and 1,260 indica sequences was used to analyze the gene expression pattern of rice exposed to drought stress. The transcriptome from leaf, root, and young panicle at three developmental stages was comparatively analyzed combined with bioinformatics exploring drought stress related cis-elements. In this study, the gene expression patterns across six tissues including leaves and roots at tillering stage and panicle elongation stage, leaves and young panicle at booting stage ( TL: leaves at tillering stage; TR: roots at tillering stage; PL: leaves at panicle elongation stage; PR: roots at panicle elongation stage; BP: young panicle at booting stage; BL: leaves at booting stage) were characterized by using the Affymetrix rice microarray platform based on a drought tolerant rice line derived from IR64.
2010-12-23 | E-GEOD-26280 | biostudies-arrayexpress