Oryza sativa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA128267 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional profiling of MIT knockdown plants. MIT is a mitochondrial Fe transporter essential for rice growth and development. The goal was to determine the effects of MIT on global rice gene expression.
2011-04-07 | GSE28428 | GEO
Project description:Fairy rings are zones of stimulated grass growth by the interaction between the fungi and the plant. In the previous research, we reported the identification of the “fairy”, 2-azahypoxanthine (AHX), produced by the fairy ring-forming fungus and the mechanism of its growth-promoting activity using DNA microarray. We discovered AOH, a common metabolite of AHX in plants. We investigate expression profiling of rice seedlings treated with AHX or AOH for the mechanism of their growth-promoting activity.
2014-01-01 | GSE38844 | GEO
Project description:To understand signal transduction mechanism by MeJA in rice, we have analyzed transcription profile with 60K Rice Whole Genome Microarray after MeJA treatment. Gene transcripts were extracted from ten individual rice plants treated with 100 uM MeJA for 6 hrs. RNA samples from these plants were used to generate cyanine-3 (Cy3) and Cy5-labeled complementary DNA (cDNA) probes, which were then hybridized to the microarray. Each data set was obtained from three biological repeats independently.
2011-01-01 | GSE22757 | GEO
Project description:In this study, we used a cross-species network approach to uncover nitrogen (N)-regulated network modules conserved across a model and a crop species. By translating gene network knowledge from the data-rich model Arabidopsis (Arabidopsis thaliana, ecotype Columbia-0) to a crop, rice (Oryza sativa spp. japonica (Nipponbare)), we identified evolutionarily conserved N-regulatory modules as targets for translational studies to improve N use efficiency in transgenic plants.
2015-06-10 | GSE38102 | GEO
Project description:Here, we present OryzaPG-DB, a rice proteome database based on shotgun proteogenomics, which incorporates the genomic features of experimental shotgun proteomics data. This version of the database was created from the results of 27 nanoLC-MS/MS runs on a hybrid ion trap-orbitrap mass spectrometer, which offers high accuracy for analyzing tryptic digests from undifferentiated cultured rice cells. Peptides were identified by searching the product ion spectra against the protein, cDNA, transcript and genome databases from Michigan State University, and were mapped to the rice genome. Approximately 3200 genes were covered by these peptides and 40 of them contained novel genomic features. Users can search, download or navigate the database per chromosome, gene, protein, cDNA or transcript and download the updated annotations in standard GFF3 format, with visualization in PNG format. In addition, the database scheme of OryzaPG was designed to be generic and can be reused to host similar proteogenomic information for other species. OryzaPG is the first proteogenomics-based database of the rice proteome, providing peptide-based expression profiles, together with the corresponding genomic origin, including the annotation of novelty for each peptide.
2016-07-20 | PXD004603 | JPOST Repository
Project description:Higher plants have developed sophisticated mechanisms to efficiently acquire and use micronutrients such as copper and iron. In the present work, we studied effects produced by the presence of a wide copper range in growth media and altered copper transport on iron homeostasis in Oryza sativa plants. The global analysis of gene expression in the rice seedlings grown under copper deficiency versus excess in the medium showed an increased expression of the genes involved in iron homeostasis. Different iron-related genes are expressed under either copper deficiency and excess, such as those that encode ferredoxin and transcriptional regulator IRON-RELATED TRANSCRIPTION FACTOR 2 (OsIRO2), respectively. As expected, the expression of OsCOPT1, which encodes a high affinity copper transport protein, was up-regulated under copper deficiency, and the expression of OsIRO2 targets were increased under copper excess. Arabidopsis COPT1 overexpression (C1OE) in rice causes root shortening under copper excess, modifies the expression of the putative Fe-sensing factor HEMERYTHRIN MOTIF-CONTAINING REALLY INTERESTING NEW GENE- AND ZINC-FINGER (OsHRZ1) and enhances the expression of OsIRO2 and its targets, which suggests a role of copper in iron signaling. Our studies conducted under simultaneous copper and iron deficiencies indicate that C1OE plants are more sensitive than the wild-type controls to root growth inhibition. The C1OE rice plants grown on soil contained higher endogenous iron concentration in grains than the wild-type plants (both brown and white grains). The results obtained herein showed the interaction between homeostatic networks of iron and copper, and suggest that strategies to obtain crops with optimized nutrient concentrations in edible parts should take into account this interaction.
2017-06-20 | GSE89109 | GEO
Project description:To reveal the underlying molecular mechanism of jasmonate inhibits gibberellins signaling in rice, we performed transcriptional profiling of wild type nipponbare and mutant coi1-13 plants on a global scale using the Affymetrix GeneChip Rice Genome Array
2011-12-01 | GSE29577 | GEO
Project description:Although Cochliobolus miyabeanus is an important fungal leaf pathogen on rice plants worldwide, it is largely neglected by molecular plant phytopathologists. To shed new light on the molecular and genetic basis of the rice – C. miyabeanus interaction, we compared the transcriptome of rice leaves 12h post inoculation to uninfected leaves. Even though usable sources of resistance against brown spot disease caused by C. miyabeanus are scarce, silicon application emerges as a sustainable protection strategy. Many articles report the beneficial effect of silicon on brown spot resistance. however the underlying mechanisms remain largely unclear. The influence of silicon application on the transcriptome of healthy and infected rice leaves 12hpi was compared as well in an attempt to disentangle the modulation of silicon-induced brown spot resistance.
2014-02-25 | GSE55330 | GEO
Project description:The small RNAs presented here were produced as a preliminary exploration of small RNAs in rice, and as such, various tissues and stress conditions were sampled. Small RNAs present in these samples were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682. The datasets contain Oryza sativa var Nipponbar endogenous small RNA sequences in the size range 18 to 34 nt. Plants were grown in a Conviron Environmental Chamber at high light intensity using both high pressure sodium and metal halide lamps for 10.5 hr at 28 degrees C and for 13.5 hr at 26 degrees C in the dark. RNA was extracted from rice tissues at various stages of development and under different abiotic and biotic stresses. The small RNAs presented here were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682.
2009-06-08 | GSE16248 | GEO
Project description:Nitrogen (N), a critical macronutrient for plant growth and development, is a major limiting factor in most agricultural systems. Microarray analyses have been conducted to investigate genome-wide gene expression in response to changes in N concentrations. Although RNA-Seq analysis can provide a more precise determination of transcript levels, it has not previously been employed to investigate the expression of N-starvation-induced genes. We constructed cDNA libraries from leaf sheaths and roots of rice plants grown under N-deficient or -sufficient conditions for 12 h. Sequencing the libraries resulted in identification of 33,782 annotated genes. A comparison of abundances revealed 1,650 transcripts that were differentially expressed (fold-changeââ¥â2) due to an N-deficiency. Among them, 1,158 were differentially expressed in the leaf sheaths (548 up-regulated and 610 down-regulated) and 492 in the roots (276 up, 216 down).
2015-08-30 | E-MTAB-4195 | biostudies-arrayexpress