Comparative analysis of drought-responsive transcriptome in soybean lines contrasting for canopy wilting
Ontology highlight
ABSTRACT:
ORGANISM(S): Glycine max
PROVIDER: GSE70310 | GEO | 2015/08/31
SECONDARY ACCESSION(S): PRJNA288296
REPOSITORIES: GEO
Similar Datasets
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of abiotic stress molecular pathways. The goals of this study are to compare NGS-derived transcriptome profiling (RNA-seq) of contrasting slow wilting lines to quantify transcript abumdance under drought stress condition Methods: The three biological replicates of DS line, Pana (control and drought samples) and DT line, PI 567690 (control and drought samples) leaf sample RNA were multiplexed and sequenced on an Illumina Hi-Seq 2000 platform. The RNA concentration of each sample was approximately 200ng/µl with a quantity of 50 µl.isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays
2015-08-31 | E-GEOD-70310 | biostudies-arrayexpress
Project description:Background: Drought stress is the major environmental stress that affects plant growth and productivity. It triggers in plants a wide range of responses detectable at different scales: molecular, biochemical and physiological levels. At the molecular level the response to drought stress results in the differential expression of several metabolic pathways. For this reason, explore the subtle differences existing in gene expression of drought sensitive and drought tolerant genotypes allows to identify drought-related genes that could be used for selection of drought tolerance traits. Genome-wide RNA-Seq technology was used to compare the drought response of two sorghum genotypes characterized by contrasting water use efficiency. Results: the physiological measurements carried out confirmed the drought sensitivity of IS20351 and the drought tolerance of IS22330 previously studied. The expression of drought-related genes was more abundant in the sensitive genotype IS20351 compared to the tolerant IS22330. The Gene Ontology enrichment highlighted a massive increase in transcript abundance in “response to stress” and “abiotic stimulus”, “oxidation-reduction reaction” in the sensitive genotype IS20351 under drought stress. “Antioxidant” and “secondary metabolism”, “photosynthesis and carbon fixation process”, “lipids” and “carbon metabolism” were the pathways most affected by drought in the sensitive genotype IS20351. The sensitive genotype IS20351 showed under well-watered conditions a lower constitutive expression level of “secondary metabolic process” (GO:0019748) and “glutathione transferase activity” (GO:000004364). Conclusions: RNA-Seq analysis revealed to be a very useful tool to explore differences between sensitive and tolerant sorghum genotypes. The transcriptomic results supported all the physiological measurements and were crucial to clarify the tolerance of the two genotypes studied. The connection between the differential gene expression and the physiological response to drought states unequivocally the drought tolerance of the genotype IS22330 and the strategy adopted to cope with drought stress.
2016-04-27 | GSE80699 | GEO
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:Traditional rice varieties found in India have many desirable characteristics. Amongst them, their differential responses to abiotic and biotic stresses are of great agricultural importance. Drought or osmotic stress is one of the major abiotic stresses afflicting crop plants in India. Indigenous varieties like Dagad deshi have been found to be drought resistant and, thereby, are being studied in great detail by plant breeders and biotechnologists alike. In this study, we have analyzed the transciptomes of two contrasting cultivars, i.e. Dagad deshi (tolerant) and IR20 (susceptible), under control and stress conditions to elucidate the differences in their responses to drought stress using Affymetrix microarray platform.
2015-06-30 | GSE41647 | 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:Two alfalfa varieties, 'Chilean' (M. sativa ssp. sativa var. Chilean, drought sensitive) and 'Wisfal' (M. sativa ssp. falcata var. Wisfal, drought tolerant), with contrasting water use efficiency were subjected to water withholding for 11 days followed by re-watering. Samples were taken for well-watered plants and plants after five, eight, eleven days of drought stress as well as plants after recovery for one day following drought stress. Roots and shoots were sampled and analyzed separately by expression profiling using Affymetrix Medicago GeneChip.
2011-08-29 | E-MEXP-3320 | biostudies-arrayexpress
Project description:We studied transcriptional regulations under drought stress of wheat roots in genotype "Opata" over two biological replicates. We imposed severe drought stress down to nearly permanent wilting point and flash frozen the roots of opata.
2008-03-01 | E-MEXP-1186 | biostudies-arrayexpress
Project description:Traditional rice varieties found in India have many desirable characteristics. Amongst them, their differential responses to abiotic and biotic stresses are of great agricultural importance. Drought or osmotic stress is one of the major abiotic stresses afflicting crop plants in India. Indigenous varieties like Dagad deshi have been found to be drought resistant and, thereby, are being studied in great detail by plant breeders and biotechnologists alike. In this study, we have analyzed the transcriptomes of two contrasting cultivars, i.e. Dagad deshi (tolerant) and IR20 (susceptible), under control and stress conditions to elucidate the differences in their responses to drought stress using Affymetrix microarray platform. Hydroponically grown seven-day-old seedlings of Dagad deshi and IR20 were subjected to drought stress by placing them on 3 mm Whatmann sheets under light for 3 h and 6 h at 28±1oC. For control samples, seedlings were kept in RGM (root growth medium) for 6 h at 28±1oC. RNA extracted from each sample was hybridized on rice Affymetrix microarrays. Three biological replicates of each sample were used for microarray analysis. Overall, eighteen samples were analyzed representing control, 3 h and 6 h of dehydration stress for each cultivar (Dagad deshi and IR20).
2015-06-30 | E-GEOD-41647 | biostudies-arrayexpress
Project description:Transcriptional profiling of rossette leaves comparing wild type (Col-0) and the mutant (hsi2-5) under no drought or simulated drought stress. Two-condition experiment; wild type (col-0) vs. mutant (hsi2-5). Three stages of drought; no drought (or stage 0), mild drought or soil drying but no visible wiliting (or stage 1), visible wilting (stage 2). At stage 0, four biological replicates of the wild type/mutant co-hybridized, at stage 1 and stage 2, three biological replicates of the wild type/mutant co-hybridized.
2014-01-24 | E-GEOD-39347 | biostudies-arrayexpress
Project description:The current knowledge of drought stress transcriptomes in rice are mostly relying on comparative studies of diverse genetic background under drought. A more reliable approach is to use near-isogenic lines (NILs) with a common genetic background (Donar parent: Aday Sel, Recurrent parent: IR64), but contrasting levels of resistance to drought stress under initial exposure to water deficit. Here, we examined two pairs of NILs in IR64 background with contrasting drought tolerance. We obtained gene expression profile in shoots of rice NILs under different levels of drought stress help to identify genes and mechanisms involved in drought stress.
2012-07-01 | GSE30449 | GEO