Project description:In order to identify new miRNAs, NAT-siRNAs and possibly abiotic-stress regulated small RNAs in rice, three small RNA libraries were constructed from control rice seedlings and seedlings exposed to drought or salt stress, and then subjected to pyrosequencing.
Project description:The advent of next generation sequencing (NGS) has greatly enriched the database of miRNAs. For plants so far 8455 miRNAs sequences from 73 species and 15401 miRNAs sequences from 150 species have been deposited in miRBase 21.0 and Plant Non-coding RNA Database, respectively. The occurrence of miRNAs in such a huge number, which is still increasing, is because of the fact that the profile of miRNAs expression differs greatly from species to species, both quantitatively and qualitatively. Besides, even within a species it is expected that the miRNA expression profile would differ from cultivar to cultivar depending on the trait with regard to which the two cultivars differ, and on the same logic it is also expected that their expression profile would differ considerably in the plant under contrasting environmental conditions. However, report on comparative study of expression profile of miRNAs in rice cultivars, or in any crop cultivars, contrast for salt tolerance, or tolerance to any abiotic stress is scant. Therefore, the current study was planned to see the expression profile of miRNAs in a salt-tolerant rice (Oryza sativa L. ssp indica) cultivar (cv.) Pokkali in presence and absence of NaCl and to check the response pattern of a few important salt-responsive miRNAs in a salt-sensitive rice cultivar Badami in order to identify the miRNAs and their targets that could be involved in the salt tolerance process
Project description:High-throughput sequencing of small RNAs from rice was used to identify distinct miRNAs that are responsive to elicitors from the fungal pathogen Magnaporthe oryzae. [Expression profiling by array] We used microarrays to determine the expression behaviour of target genes for elicitor-regulated miRNAs. [High throughput sequencing] High-throughput sequencing of rice small RNAs was performed in two different tissues, leaves and roots, and two different time point of elicitor treatment, 30' and 2h Amplicons were prepared by 5´and 3´adaptor ligation in which the 5'-adaptor contained a 'barcode' consisting of a 4-nucleotide identifier sequence for each sample. The libraries containing unique barcodes were combined and subjected to pyrosequencing (454 Life SciencesTM, Roche)
Project description:IDS1 is a rice AP2-type transcription factor with transcritpional repression activity. To understand how IDS1 regulate rice salt tolerance, the ChIP-seq experiments were performed to identify IDS1 binding site in globle genomic level. The two-weeks-old rice seedlings were lysated and sonificated and IDS1-DNA complexes were immune precipated with myc-antibody and protein A beads. The purified DNA samples were used to construct sequencing libraries and sequenced with Illumina. The data were then analyzed with bio-informatic tools.
Project description:Dongxiang wild rice (Oryza rufipogon Griff.) is the progenitor of cultivated rice (Oryza sativa L.) and is well known for its superior level of tolerance against cold, drought and diseases. To date, however, little is known about the salt-tolerant character of Dongxiang wild rice. To elucidate the molecular genetic mechanisms of salt-stress tolerance in Dongxiang wild rice, the Illumina HiSeq 2000 platform was used to analyze the transcriptome profiles of the leaves and roots at the seedling stage under salt stress compared with those under normal conditions. The analysis results for the sequencing data showed that 6,867 transcripts were differentially expressed in the leaves (2,216 up-regulated and 4,651 down-regulated) and 4,988 transcripts in the roots (3,105 up-regulated and 1,883 down-regulated). Among these differentially expressed genes, the detection of many transcription factor genes demonstrated that multiple regulatory pathways were involved in salt stress tolerance. In addition, the differentially expressed genes were compared with the previous RNA-Seq analysis of salt-stress responses in cultivated rice Nipponbare, indicating the possible specific molecular mechanisms of salt-stress responses for Dongxiang wild rice. A large number of the salt-inducible genes identified in this study were co-localized onto fine-mapped salt-tolerance-related quantitative trait loci, providing candidates for gene cloning and elucidation of molecular mechanisms responsible for salt-stress tolerance in rice.
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:In this study, we used RNA-Seq to understand the mechanisms of Cd toxicity, cellular detoxification and protection pathways in response to Cd in rice roots. To gain additional insight into the rice transcriptomic response to environmental Cd stress, 15-day-old rice seedlings were treated with 10 or 100 μM solutions of Cd2+, or without Cd (control), for 24 h, at which point root samples were harvested and labeled as Cd+, Cd++, and control, respectively. These samples were used for 101 bp paired-end (PE) deep sequencing on an Illumina HiSeq 2500 platform.
Project description:In order to identify new miRNAs, NAT-siRNAs and possibly abiotic-stress regulated small RNAs in rice, three small RNA libraries were constructed from control rice seedlings and seedlings exposed to drought or salt stress, and then subjected to pyrosequencing. Totally three sets of small RNAs, which were obtained under normal condition as well as salt and drought stress conditions
Project description:High-throughput sequencing of small RNAs from rice was used to identify distinct miRNAs that are responsive to elicitors from the fungal pathogen Magnaporthe oryzae. [Expression profiling by array] We used microarrays to determine the expression behaviour of target genes for elicitor-regulated miRNAs. [High throughput sequencing] High-throughput sequencing of rice small RNAs was performed in two different tissues, leaves and roots, and two different time point of elicitor treatment, 30' and 2h Amplicons were prepared by 5M-BM-4and 3M-BM-4adaptor ligation in which the 5'-adaptor contained a 'barcode' consisting of a 4-nucleotide identifier sequence for each sample. The libraries containing unique barcodes were combined and subjected to pyrosequencing (454 Life SciencesTM, Roche) [Expression profiling by array] Leaves from rice plants were harvested at two time points after the onset of treatment (30' and 2h) with elicitors of Magnaporthe oryzae 18.1 and used for RNA extraction and hybridization on Affymetrix microarrays. Mock inoculations were performed with sterile water for control experiments. Three biological replicates were analyzed. Each sample represented a pool of approximately 150 rice plants. [High throughput sequencing] 8 samples examined: leaves and roots, treated or not with elicitors at two different time points, 30' and 2h (2x2x2)