Oryza sativa
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ABSTRACT:
PROVIDER: PRJNA93385 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.
2010-01-01 | GSE19050 | GEO
Project description:Tiling microarray analysis of japonica and indica rice chromosome 10
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Project description:This experiment was designed to identify transcribed regions of japonica subspecies of the rice genome. A series of high-density oligonucleotide tiling arrays that represent sense and antisense strands of the entire nonrepetitive sequence of all the 12 chromosomes were designed to measure genome-wide transcription. A total of 12253842 36mer oligonucleotide probes positioned every 46 nt on average were used for this purpose. The probes were synthesized via maskless photolithography at a feature density of approximately 389,000 probes per slide. The arrays were hybridized with fluorescence-labeled cDNA reverse-transcribed from equal amounts of four selected poly(A)+ RNA population (seedling root, seedling shoot, panicle, and suspension cultured cells). Keywords: tiling array, genome-wide transcription
2007-02-21 | GSE6996 | GEO
Project description:Rice tungro disease is caused by the interaction between Rice tungro spherical virus (RTSV) and Rice tungro bacilliform virus. Infection with RTSV alone does not result in any distinctive symptoms in Taichung Native 1 (TN1) that is one of RTSV susceptive indica rice cultivar. To elucidate the basis of asymptomatic response of rice to RTSV at the gene expression level, global gene response in RTSV-infected TN1 was detected by custom microarray. Keywords: time course, virus infection, disease response
2009-12-07 | GSE16141 | GEO
Project description:Rice tungro disease is caused by the interaction between Rice tungro spherical virus (RTSV) and Rice tungro bacilliform virus. Infection with RTSV alone does not result in any distinctive symptoms in TW16 that is one of RTSV resistant indica rice. To elucidate the basis of asymptomatic response of rice to RTSV at the gene expression level, global gene response in RTSV-infected TN1 was detected by custom microarray. Keywords: time course, virus infection, disease response
2009-12-07 | GSE16140 | GEO
Project description:This experiment was designed to identify transcribed regions of indica rice genome. A series of high-density oligonucleotide tiling arrays that represent sense and antisense strands of the entire nonrepetitive sequence of the chromosome were used to measure transcriptional activities. A total of 838,816 36mer oligonucleotide probes, positioned every 46 nt on average, were designed to interrogate the indica genome, respectively. The probes were synthesized via maskless photolithography at a feature density of approximately 389,000 probes per slide. The arrays were hybridized with fluorescence-labeled cDNA reverse-transcribed from equal amounts of four selected poly(A)+ RNA populations, namely, seedling roots, seedling shoots, panicles, and suspension cultured cells of the respective rice subspecies. Keywords: genome tiling experiments
2005-10-15 | GSE3452 | GEO
Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5M-bM-^@M-^Y rapid amplification of cDNA ends (RLM 5M-bM-^@M-^Y-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice. The degradome sequence of Young inflorescences from Oryza sativa L. ssp. indica (93-11) was sequenced
2010-01-01 | E-GEOD-19050 | biostudies-arrayexpress
Project description:Rice is one of the most important global food crops, and is also a model organism for cereal research 31 . Complete genome sequencing of rice, together with advances in transcriptomics and proteomics, has had a dramatic impact on plant growth and 5 breeding programs 32 . Genomic analysis of DNA methylation in rice has revealed methylation patterns associated with gene bodies and promoters, and the occurrence of high levels of DNA methylation in the centromeric domain 33 . A genome-wide investigation of acetylation in rice revealed that H3K9ac and H3K27ac are mainly enriched at transcription start sites associated with active transcription 34 . Furthermore, global proteome analysis has shown that phosphorylation and succinylation are involved in diverse cellular and metabolic processes 35, 36 . However, despite these considerable advances in our knowledge, additional large-scale analysis of the lysine acetylome in rice is expected to identify many more Kac sites and acetylated proteins in this improtant crop plant. In this study, affinity enrichment and high-resolution LC-MS/MS were used for large-scale analysis of the lysine acetylome in rice variety Nipponbare. In total, 1353 lysine acetylation sites were detected in 866 protein groups in rice seedlings. Proteomic analysis showed that Kac occurs in proteins involved in diverse biological processes with varied cellular functions and subcellular localization.
2017-11-13 | PXD004870 | Pride
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:Rice blast is one of the most serious diseases and is caused by Magnaporthe grisea. SHZ-2, an indica cultivar with broad spectrum resistance to multiple races of the blast pathogen, was crossed to TXZ-13, a blast susceptible but high-quality variety, to produce one BC3 line, BC10 line, which showed strong to moderate blast resistance over eight cropping seasons in the field. In this study, we compared the transcription between blast-resistant and -susceptive lines by custom microarray. Keywords: time course, blast infection, disease response
2011-05-31 | GSE16470 | GEO