Gene expression from the rice leaf elongation zone of 7th leaf under various soil moisture treatments
Ontology highlight
ABSTRACT:
ORGANISM(S): Oryza sativa
SUBMITTER: Andrew Cal
PROVIDER: E-GEOD-41159 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Leaf rate elongation is extremely sensitive to soil water status. Global gene expression of the leaf elongation zone was profiled at three different levels of soil moisture in two genotypes. Leaf elongation in IR64 is more sensitive to decreased soil moisture than in moroberekan.
2012-09-26 | GSE41159 | GEO
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2015-12-31 | E-GEOD-54466 | biostudies-arrayexpress
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
Project description:Jasmonate (JA) signaling plays a key role in mediating both resistance and susceptibility to the root-infecting fungal pathogen Fusarium oxysporum. Within this system, the roles of the JA-signaling repressor gene family of JASMONATE ZIM-domain (JAZ) genes had not been investigated. By screening JAZ T DNA insertion lines for altered resistance or susceptibility to F. oxysporum, we identified a JAZ7 mutant (jaz7-1D) highly susceptible to F. oxysporum infection. Further analyses revealed jaz7-1D exhibits constitutively active JAZ7 expression, enhanced expression of JA-defense marker genes, and increased sensitivity to JA-inhibition of root elongation. To further explore altered JA-signaling and JA-responses in this mutant, we use whole transcriptome profiling of jaz7-1D versus wild-type (Col-0) plants after mock/control and JA treatment. We grew both WT and jaz7-1D plants for four weeks in soil. After four weeks the plants were treated with 1 mL of 5% MeJA (dissolved in 100% ethanol) or 1 mL of Mock solution (100% ethanol) by applying the solutions to a cotton ball attached to a tray cover which was then used to enclose individual trays. Each tray and cover was then sealed by two layers of opaque plastic bags and secured with masking tape. There were four independent replicates of each treatment and each replicate contained leaf tissue from 20 plants. Each replicate (16 in total) was harvested after 6 hours and the resulting RNA was used for hybridization to an Affymetrix ATH1 chip.
2016-02-08 | E-GEOD-61884 | biostudies-arrayexpress
Project description:Arabidopsis plants were grown in plastic pots filled with peat moss for 3 weeks (principal growth stage 1.07-1.08) under a 16 h light/8 h dark regimen (40 ± 10 ?mol photons/m2/s) at 22 C.Dehydration treatment: The 3-week-old plants were grown for 2 or 3 days without watering. To obtain accurate results, we carefully raised single plants in Petri dishes, each containing an equal amount of soil. Soil moisture contents were calculated from soil dry weight. Untreated; the soil moisture content was 84.3%. Under dehydration, on the second day, the soil moisture content was 51.1%. Under dehydration, on the third day, the moisture content was 11.6%.
2009-08-07 | E-MEXP-2174 | biostudies-arrayexpress
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
Project description:These data provide a basis for exploration of gene expression differences between physiologically diverse accessions of Arabidopsis thaliana. Recent studies have documented remarkable genetic variation among Arabidopsis thaliana accessions collected from diverse habitats and across its geographical range. Of particular interest are accessions with putatively locally adapted phenotypes – i.e., accessions with attributes that are likely adaptive under the climatic or habitat conditions of their sites of origin. These genotypes are especially valuable as they may provide insight into the genetic basis of adaptive evolution as well as allow the discovery of genes of ecological importance. Therefore we studied the physiology, genome content and gene expression of 18 physiologically diverse accessions. The gene expression studies were conducted under two levels of soil moisture and accompanied by physiological measurements to characterize early responses to soil moisture deficit.
2012-03-12 | GSE27550 | GEO
Project description:GCMS datasets for the soil depth manuscript
Abstract
Two factors that are well-known to influence soil microbiomes include the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil microbiome composition and functioning down the depth profile. Here, we investigated soil and wheatgrass rhizosphere microbiomes in a common field setting under four different irrigation regimes and three depths. We demonstrated that there is a significant interactive effect, where fluctuations in soil moisture more strongly influence soil microbiomes at the surface layer than in deeper layers, including for soil community composition, diversity, and for functional profiles. Meanwhile, in rhizosphere communities the influence of irrigation was similar across the different depths, although there were slight discrepancies between the two cultivars of wheatgrass used. The lessened response of deeper soil microbiomes to changes in irrigation may be due to higher incidence of slow-growing, stress-resistant microbes.
2022-11-07 | MSV000090655 | MassIVE
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. Soybean plants were grown in pots. When the plants reached the R1 stage (started flowering), drought treatment was imposed by withholding water. The soil moisture content was monitored during the process until the 5th day of water withholding, when soil moisture content reached 5%. The 3rd trifoliate (counting from shoots), now at the R2 stage, was collected for total RNA extraction, while other 3rd trifoliates of similar chlorophyl index were collected for leaves water content determination to identify the severity of the stress. Total RNA from 3rd trifoliates were used for expression profiling using Affymetrix Soybean Gene 1.0 ST arrays. Four biological repeats per treatment were performed, three biological repeats were chosen for expression profiling.
2012-11-10 | E-GEOD-40604 | biostudies-arrayexpress
Project description:Fungal effectors play important roles in inciting disease development on host plants. We identified an effector (Secreted in Xylem4, SIX4) in an Arabidopsis infecting isolate (Fo5176) of the root-infecting fungal pathogen Fusarium oxysporum and demonstrated this effector is required for full virulence. To explore the role of Fo5176_SIX4 we use whole transcriptome profiling of root tissues from plants overexpressing this effector (35sSIX4) versus wild-type (Col-0) plants after F. oxysporum infection. We grew both WT and 35sSIX4 plants for four weeks in soil. After four weeks the plants were infected with Fusarium oxyporum isolate Fo5176, trays covered with a plastic dome and incubated at 28C. There were four independent replicates of each treatment and each replicate contained root tissue from 20 plants. Each replicate (8 in total) was harvested 4 days post inoculation and the resulting RNA was used for hybridization to an Affymetrix ATH1 chip.
2016-05-31 | E-GEOD-75928 | biostudies-arrayexpress