Project description:Arsenic (As) is a carcinogenic metalloid that is a contaminant widely polluting rice paddy soils around the world. In order to gain better insight into molecular mechanism of rice exposed to As(III) stress, we used next-generation sequencing technology to acquire global transcriptome alteration and miRNA regulation in rice upon As(III) treatments. Our results suggest time course and As(III)-dosing treatments were devised. Cluster analyses show that root and shoot samples were differentially grouped. For roots, sub-clusters were more distinct in the dosage course whereas for shoots they were most recognizable for the time course treatments. Other than the significantly regulated gene expression in the heavy metal-responsive sulfur and glutathione metabolism pathways, the expression of genes related to heavy metal transportation, jasmonate biosynthesis and signaling pathways, lipid metabolism and gene transcription were sharply regulated, indicating that rice allocates energy and resources from growth to stress response under As(III) stress. In addition to the detection of previously identified stress-related miRNAs, we further discovered 36 new As(III)-responsive miRNAs. These results expand our understanding of As(III) stress mechanism to the As(III)-responsive mRNA and miRNA transcriptomes, which provide a foundation for subsequent functional research. 10 mRNA samples examined 10 miRNA samples examined
Project description:Arsenic (As) is a carcinogenic metalloid that is a contaminant widely polluting rice paddy soils around the world. In order to gain better insight into molecular mechanism of rice exposed to As(III) stress, we used next-generation sequencing technology to acquire global transcriptome alteration and miRNA regulation in rice upon As(III) treatments. Our results suggest time course and As(III)-dosing treatments were devised. Cluster analyses show that root and shoot samples were differentially grouped. For roots, sub-clusters were more distinct in the dosage course whereas for shoots they were most recognizable for the time course treatments. Other than the significantly regulated gene expression in the heavy metal-responsive sulfur and glutathione metabolism pathways, the expression of genes related to heavy metal transportation, jasmonate biosynthesis and signaling pathways, lipid metabolism and gene transcription were sharply regulated, indicating that rice allocates energy and resources from growth to stress response under As(III) stress. In addition to the detection of previously identified stress-related miRNAs, we further discovered 36 new As(III)-responsive miRNAs. These results expand our understanding of As(III) stress mechanism to the As(III)-responsive mRNA and miRNA transcriptomes, which provide a foundation for subsequent functional research.
Project description:Time-course transcriptional profiling of rice leaf in the field in 2009. This experiment was performed to validate the results of field transcriptomic modeling. Using 461 field transcriptome data obtained in 2008 (GSE36040; GSE36042; GSE36043; GSE36044; GSE18685) and the corresponding meteorologicla dara, we perfomred statistical modeling of transcriptome. Rice leaves (Norin8 vs. osgi) in the paddy field were collected on Aug. 10 - 12, 24 - 25, 31, Oct. 8 - 9 in 2009.
Project description:Rice grown in paddy fields prefers to use ammonium ions as a major source of inorganic nitrogen. Glutamine synthetase (GS) catalyzes the conversion of ammonium ions to glutamine. In three cytosolic GS in rice, OsGS1;1 has the critical role for normal growth and grain filling. To understand a role of GS1;1, we performed transcriptional profiling of wild type Nipponbare and GS1;1 mutant plants in seedling using the Agilent Rice Oligo Microarray.
Project description:We present the draft genome of Nitrospirae bacterium Nbg-4 as a representative of this clade and couple this to in situ protein expression under sulfate-enriched and sulfate-depleted conditions in rice paddy soil. The proteins were extracted from the soil and analysed via LC-MS/MS measurements.