Oryza sativa
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ABSTRACT:
PROVIDER: PRJNA91151 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression Analysis of Rice Chromosome 4 Using Tiling Microarray
| PRJNA91657 | ENA
Project description:This experiment was designed to identify transcribed regions of both japonica and indica rice chromosome 10. 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 750,282 and 838,816 36mer oligonucleotide probes, positioned every 46 nt on average, were designed to interrogating the japonica and the indica chromosome, 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: other
2005-04-09 | GSE2500 | GEO
Project description:Rice is a critically important food source but yields worldwide are vulnerable to periods of drought. We exposed eight genotypes of upland and lowland rice (Oryza sativa L. ssp. japonica and indica) to drought stress at the late vegetative stage and harvested leaves for protein extraction and subsequent label-free shotgun proteomics. Gene ontology analysis revealed some differentially expressed proteins were induced by drought in all eight genotypes; we speculate that these play a universal role in drought tolerance. However, some highly genotype-specific patterns of response to drought suggest that some mechanisms of metabolic reprogramming are not universal. Such proteins had largely uncharacterized functions, making them biomarker candidates for drought tolerance screens.
2020-01-17 | PXD016150 | Pride
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 flag leaves at heading stage from three chromosome substitution line populations, which were respectively constructed by introducing genomic segments from japonica cultivar Niponbare, indica cultivar Minghui 63 and wild accession ACC10, to an indica cultivar Zhenshan 97, were collected. Metabolomics profile was conducted to generate quantitative trait loci that may affect contents of metabolites, and candidate genes were assigned.
2018-08-06 | ST001031 | MetabolomicsWorkbench
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:Hybrids and allopolyploids typically exhibit radically altered gene expression patterns relative to their parents, a phenomenon termed âtranscriptomic shock.â To distinguish the effects of hybridization from polyploidization on coregulation of divergent alleles, we analyzed expression of parental copies (homoeologs) of 11,608 genes using RNA-seq-based transcriptome profiling in reciprocal hybrids and tetraploids constructed from subspecies japonica and indica of Asian rice (Oryza sativa L.)
2014-02-18 | E-MTAB-4271 | biostudies-arrayexpress
Project description:Changes in patterns of gene expression are believed to be responsible for the phenotypic differences within and between species. Although the evolutionary significance of functional mutations has been emphasized in rice domestication, little is known about the differences in gene regulation underlying the phenotypic diversification among rice varieties. MicroRNAs (miRNAs) are small regulatory RNAs that play crucial roles in regulating post-transcriptional gene expression. Here, we studied the variation in the expression of both miRNAs and mRNA transcripts in three indica and three japonica rice varieties using RNA sequencing (RNA-seq) to examine the miRNA regulatory effect on target gene expression in rice. In total, 71.0%, 9.2%, and 1.5% of the expressed mature miRNAs showed tissue, subspecies, and tissue-subspecies interaction-biased expression. Most of these differentially expressed miRNAs are evolutionarily weakly conserved. To examine the miRNA regulatory effect on global gene expression under endogenous conditions, we performed pair-wise correlation coefficient analyses on the expression levels of 240 mature miRNAs and 1178 messenger RNAs (mRNAs) both globally and for each specific miRNA-mRNA pair. We found that the deeply conserved miRNAs can significantly decrease the target mRNA abundance. In addition, a total of 109 miRNA-mRNA pairs were identified as significantly correlated pairs (Adjusted p<0.01). Of those, 41 pairs showed positive correlations, while 68 pairs showed negative correlations. Functional analysis elucidated that these mRNAs belonged to different biological pathways that could regulate the stress response, metabolic processes, and rice development. In conclusion, the joint interrogation of miRNA and mRNA expression profiles in this study proved useful for the study of the role of miRNA expression and regulation in the plant transcriptome.
2017-02-09 | GSE71925 | GEO