Project description:Phoenix dactylifera seedlings were exposed to heat, drought and combined heat & drought conditions in growth chambers. Leaf samples were collected for total RNA isolation (RNAseq, Illumina HiSeq 1000), and water soluble metabolites. The RNAseq of four biological replicates (two individuals per replicate) were compared against the control condition. Transcriptomics data suggests the combine heat and drought resembled heat response, whereas drought resembled more to control. The hallmarks of heat stress were visible in the transcriptomics data, such as protein misfolding, response to hydrogen peroxide and cell wall modification, as well as ABA signaling in the case of drought. Since the plants were exposed to the stress for several days before harvesting, the early signs of heat stress such as calcium and NO signaling were not detected anymore. In addition, data suggest a significant enrichment of circadian rhythm motifs in the differentially expressed genes in heat and combined heat and drought stresses, suggesting new stress avoidance strategies.
Project description:This study aims to provide a transcriptomics dataset for field grown rice plants subjected to mild drought concentrating on the two parents of a mapping population, Bala and Azucena. Plants were grown in 1.2 m2 plots under flooded conditions in Wuhan, China being sown on 2nd June 2007. Starting at 59 days after sowing, drought was imposed by withholding water, while a set of control plots had continued flooding conditions. The drought was imposed for 24 days during which time a small amount of water was added on 3 occasions to raise soil moisture to 30% by volume. After 24 days the second youngest fully expanded leaf was taken and gene expression analysis performed. We used microarrays to detail the global programme of gene expression underlying drought in rice plants with the aim of using the data to identify candidate genes for drought avoidance QTLs detected within the a rice mapping population. Two rice cultivars, Bala and Azucena, were grown in 1.2 m2 plots under flooded conditions in Wuhan, China being sown on 2nd June 2007. Starting at 59 days after sowing, drought was imposed by withholding water, while a set of control plots had continued flooding conditions. At 2 pm on the 83rd day after sowing (after 24 days of drought) the second youngest fully expanded leaf was taken off three plants in two plots per block, the leaves had the top and bottom 4 cm removed and the central portion of the leaf was placed in a bag and then into liquid N2. For the controls there was only one plot of the genotypes per block. There was one bag for each block and three replicate blocks. A total of 6 droughted leaf samples (3 Bala and 3 Azucena) and six control leaf samples (3 Bala and 3 Azucena) were collected for RNA extraction and hybridization on Affymetrix microarrays.
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
Project description:This study aims to provide a transcriptomics dataset for field grown rice plants subjected to mild drought concentrating on the two parents of a mapping population, Bala and Azucena. Plants were grown in 1.2 m2 plots under flooded conditions in Wuhan, China being sown on 2nd June 2007. Starting at 59 days after sowing, drought was imposed by withholding water, while a set of control plots had continued flooding conditions. The drought was imposed for 24 days during which time a small amount of water was added on 3 occasions to raise soil moisture to 30% by volume. After 24 days the second youngest fully expanded leaf was taken and gene expression analysis performed. We used microarrays to detail the global programme of gene expression underlying drought in rice plants with the aim of using the data to identify candidate genes for drought avoidance QTLs detected within the a rice mapping population.
Project description:Pearl millet [Pennisetum glaucum (L.) R.Br] is the fifth most important cereal crop next to rice, wheat, maize, and sorghum. It is cultivated especially by small holder farmers in arid and semi-arid regions because of its drought resistance. However, the molecular mechanisms during drought stress in Pennisetum remain elusive. In the present study we have used a shotgun proteomics approach (GEL-LC-Orbitrap-MS) for identification and quantification of proteins from different tissues (root, seed and leaf) under drought and control conditions. Plants were grown in a tube system to survey root growth under drought stress. The water content was measured in the upper and the lower part of the tube using soil moisture sensors. Under drought stress root elongation was observed. Measurement of stomatal conductance showed a clear response to drought stress. For proteomics measurements root, leaf and seed tissues were harvested. In total 2281 proteins were identified, 1095 in root, 1299 in seed, and 1208 in leaf in both stress and control conditions.
Project description:The mian goal of the study was to identify drought responsive genes of Indian mulberry (Morus alba L.) leaf tissue. Drought stress was imposed at whole plant leve; usig gravimetric approach. Leaf tissue was harvested 14 days post drought stress imposition and used for transcriptome analaysis. Two levels of drought stress (100% and 40% soil field capacity) was maintained by controlled irrigation. The leaf tissue was collected, total RNA was isolated converted to cDNA and used for analysis
Project description:In the current study we did microarray of upland rice cultivar Nagina22 for drought stress at reproductive stage (panicle initiation) and analyzed drought stress responsive genes. We have taken flag leaf for our study as it is most essential organ for photosynthesis in rice. Normal watering Vs Drought Stress Flag leaf of Control (Three biological replicates) plant of Nagina22: C1, C2, C3 Flag leaf of drought stressed (Three biological replicates) plant of Nagina 22: S1, S2, S3