Rice whole transcriptome surveyed by high throughput sequencing technology
Ontology highlight
ABSTRACT:
ORGANISM(S): Oryza sativa
PROVIDER: GSE16507 | GEO | 2010/03/01
SECONDARY ACCESSION(S): PRJNA116061
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing mRNA expression of 8 independent rice tissues was determined by method of RNA-Seq using short reads from high throughput sequencing technology. Meanwhile small RNA populations from mixture solution pooled from total RNA of each 8 tissues were also sequenced.
2010-03-01 | E-GEOD-16631 | biostudies-arrayexpress
Project description:Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing
2010-03-01 | GSE16631 | GEO
Project description:Rice is an important model for cereals and a staple crop worldwide. Understanding C-N nutrients interaction in rice should also help to compare and contrast the mechanisms for the regulation of C:N balance between plants accumulating high levels of photosynthates such as cereals and those that do not, and importantly may provide useful knowledge for improving crop yields. By analyzing the effects of exogenous C:N availabilities on the growth of rice seedlings, we previously identified the balanced and imbalanced C:N conditions for rice seedlings. Herein, we chose four C:N ratios (1 mM:1 mM, 1 mM:60 mM, 60 mM:1 mM and 60 mM:60 mM). Among them, 1:1 and 60:60 were considered as balanced exogenous C:N while 60:1 and 1:60 were imbalanced C:N. By comparative transcriptome analysis, genes were classified into two modes: high C:low N responsive genes and low C:high N responsive genes.
2017-03-02 | E-MTAB-5118 | biostudies-arrayexpress
Project description:Recent data from several organisms indicate that the transcribed portions of genomes are larger and more complex than expected, and many functional properties of transcripts are not based on coding sequences but on regulatory sequences in untranslated regions or non-coding RNAs. Alternative start and polyadenylation sites and regulation of intron splicing add additional dimensions to the rich transcriptional output. This transcriptional complexity has been sampled mainly using hybridization-based methods under one or a few conditions. We applied direct high-throughput sequencing of cDNAs, complemented with different expression data from high-density tiling arrays, to globally sample transcripts of the fission yeast Schizosaccharomyces pombe, independently from available gene annotations. We interrogated transcriptomes under multiple conditions, including exponential proliferation, meiotic differentiation and environmental stress, and in RNA processing mutants, to reveal the dynamic plasticity of the transcriptional landscape as a function of environmental, developmental, and genetic factors. High-throughput sequencing proved to be a powerful and quantitative method to deeply sample transcriptomes at unprecedented resolution. Unlike hybridization, sequencing showed little, if any, background noise and was sensitive enough to detect widespread transcription in >90% of the genome, including traces of RNAs that were not actively transcribed or rapidly degraded. The combined sequencing and strand-specific array data provided rich information on novel, mostly non-coding transcripts, untranslated regions and gene structures, thus refining the existing genome annotation. Sequence trans-reads spanning exon-exon or exon-intron junctions gave unique insight into a surprising variability in splicing efficiency across introns and genes. Splicing efficiency was largely coordinated with transcriptional efficiency, and hundreds of introns showed regulated splicing as a function of cellular proliferation or differentiation. ArrayExpress Release Date: 2008-12-03 Publication Title: Dynamic repertoire of a eukaryotic transcriptome surveyed at single nucleotide resolution Publication Author List: Brian Wilhelm, Samuel Marguerat, Stephen Watt, Falk Schubert, Valerie Wood, Ian Goodhead, Christopher J. Penkett, Jane Rogers and Jurg Bahler Person Roles: submitter Person Last Name: Wilhelm Person First Name: Brian Person Mid Initials: Person Email: btw@sanger.ac.uk Person Phone: Person Address: Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK Person Affiliation: Wellcome Trust Sanger Institute Person Roles: investigator Person Last Name: Bahler Person First Name: Jurg Person Mid Initials Person Email: jurg@sanger.ac.uk Person Phone Person Address: Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK Person Affiliation: Wellcome Trust Sanger Institute
2011-02-05 | GSE25003 | GEO
Project description:We report that TOG1 coordinates global changes of gene expression upon high temperature to support rice thermotolerant growth. We performed gene ontology (GO) enrichment analysis of the differentially expressed genes in rice seedlings grown at 25 ℃ and 30 ℃ and found that when temperature increases, wild-type dramatically adjusts the expression level of hundreds of genes in GO terms polysaccharide metabolic process, carbohydrate metabolic process, glucan metabolic process, carbon fixation, response to stimulus and organic substance metabolic process required for growth. However, in a tog1 mutant, the differentially expressed genes in response to the temperature increase significantly enriched in GO terms response to stimulus, response to oxidative stress and response to stress, whereas the coordination of primary metabolic processes and carbon fixation were largely impaired or undetectable. Differentially expressed mRNA profiles of 22-day-old wild type (WT) and tog1 rice upon a temperature difference were generated by deep sequencing
2012-11-07 | E-GEOD-42096 | biostudies-arrayexpress
Project description:Oryza sativa Japonica (rice) is the staple food for all over world population. At the time of germination, the exposure to light may play an important role in the early development of the rice seedling. In order to survey the genes, their functions and role in biological processes, an RNA-Seq based study of 6 libraries prepared from poly-A rich mRNA fraction was carried out to explore transcriptional programs operating in dark and light conditions. For each treatment type, three individual plants were used as biological replicates.
2022-12-01 | E-MTAB-5689 | biostudies-arrayexpress
Project description:Plant diurnal oscillation is a 24-hour period based variation. The correlation between diurnal genes and biological pathways was widely revealed by microarray analysis in different species. Rice (Oryza sativa) is the major food staple for about half of the world's population. The rice flag leaf is essential in providing photosynthates to the grain filling. However, there is still no comprehensive view about the diurnal transcriptome for rice leaves. In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves. We developed a new computational analysis approach and identified 6,266 (10.96%) diurnal probe sets in seedling leaves, 13,773 (24.08%) diurnal probe sets in flag leaves. About 65% of overall transcription factors were identified as flag leaf preferred. In seedling leaves, the peak of phase distribution was from 2:00am to 4:00am, whereas in flag leaves, the peak was from 8:00pm to 2:00am. The diurnal phase distribution analysis of gene ontology (GO) and cis-element enrichment indicated that, some important processes were waken by the light, such as photosynthesis and abiotic stimulus, while some genes related to the nuclear and ribosome involved processes were active mostly during the switch time of light to dark. The starch and sucrose metabolism pathway genes also showed diurnal phase. We conducted comparison analysis between Arabidopsis and rice leaf transcriptome throughout the diurnal cycle. In summary, our analysis approach is feasible for relatively unbiased identification of diurnal transcripts, efficiently detecting some special periodic patterns with non-sinusoidal periodic patterns. Compared to the rice flag leaves, the gene transcription levels of seedling leaves were relatively limited to the diurnal rhythm. Our comprehensive microarray analysis of seedling and flag leaves of rice provided an overview of the rice diurnal transcriptome and indicated some diurnal regulated biological processes and key functional pathways in rice. we generate rice diurnal gene expression profiles of seedling leaves and flag leaves using 57K Affymetrix rice whole genome array. keywords: rice (Oryza sativa L.), seedling leaves, flag leaves, diurnal, molecular functions, microarray
2011-03-24 | E-GEOD-28124 | biostudies-arrayexpress
Project description:We report that TOG1 coordinates global changes of gene expression upon high temperature to support rice thermotolerant growth. We performed gene ontology (GO) enrichment analysis of the differentially expressed genes in rice seedlings grown at 25 ℃ and 30 ℃ and found that when temperature increases, wild-type dramatically adjusts the expression level of hundreds of genes in GO terms polysaccharide metabolic process, carbohydrate metabolic process, glucan metabolic process, carbon fixation, response to stimulus and organic substance metabolic process required for growth. However, in a tog1 mutant, the differentially expressed genes in response to the temperature increase significantly enriched in GO terms response to stimulus, response to oxidative stress and response to stress, whereas the coordination of primary metabolic processes and carbon fixation were largely impaired or undetectable.
2012-11-07 | GSE42096 | GEO
Project description:Rice (Oryza sativa L.) is the main staple food for nearly half of the world’s population. Cereals, especially rice is deficient in micronutrients such as Fe. However, rice genotypes differ in grain Fe concentration (Panda B, et.al. Am J Plant Sci. 2014;5:2829-41. doi: 10.4236/ajps.2014.518299). The present study is focused on identification of gene(s) involved in Fe accumulation in developing rice grain through high throughput RNA-seq technology and to understand the basis of differential Fe accumulation in developing rice grain. Two cultivars of rice viz. Sharbati (high Fe) and Lalat (low Fe) differing in grain iron concentration were used in the study. Root and grain transcriptome sequences of these two cultivars (at mid-grain filling stage) were generated using RNA-Seq (Illumina Hiseq 2000 platform). For each genotype, on an average 9.7 and 7 Gb data was generated for grain and root samples, respectively. The short reads were aligned against the Nipponbare reference genome (IRGSP build 5.0), thereby successfully mapping 95% and 67% of the reads from grain and root samples, respectively. Genes known to be involved in Fe metabolism were analyzed for expression. Among the genes coding for phytosiderophore synthesizing enzymes, OsNAS1 and OsNAAT2 showed higher expression in the grains of Sharbati while OsDMAS1 had higher expression in its root. Of the 18 yellow-stripe like (YSL) genes in rice, only 11 were found to be expressed in the two cultivars. Out of these, 2 (OsYSL2 and OsYSL 8) were up-regulated in the grains of Sharbati highlighting their importance in the uptake of Fe from soil and its accumulation in the developing grain. Two other genes (OsFRO1 and OsIRT1) known to be involved in Fe uptake by the root were also found to be highly expressed in the root of Sharbati. Our findings suggest that higher grain iron concentration of cv. Sharbati might be due to higher expression of key Fe transporters (viz. OsYSL2, OsYSL8 and OsITR1) and root membrane bound OsFRO1, which give an advantage in terms of absorption, transport and assimilation of Fe by this cultivar as compared to the low iron containing cultivar, Lalat.
2016-12-31 | GSE70093 | GEO
Project description:Plant diurnal oscillation is a 24-hour period based variation. The correlation between diurnal genes and biological pathways was widely revealed by microarray analysis in different species. Rice (Oryza sativa) is the major food staple for about half of the world's population. The rice flag leaf is essential in providing photosynthates to the grain filling. However, there is still no comprehensive view about the diurnal transcriptome for rice leaves. In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves. We developed a new computational analysis approach and identified 6,266 (10.96%) diurnal probe sets in seedling leaves, 13,773 (24.08%) diurnal probe sets in flag leaves. About 65% of overall transcription factors were identified as flag leaf preferred. In seedling leaves, the peak of phase distribution was from 2:00am to 4:00am, whereas in flag leaves, the peak was from 8:00pm to 2:00am. The diurnal phase distribution analysis of gene ontology (GO) and cis-element enrichment indicated that, some important processes were waken by the light, such as photosynthesis and abiotic stimulus, while some genes related to the nuclear and ribosome involved processes were active mostly during the switch time of light to dark. The starch and sucrose metabolism pathway genes also showed diurnal phase. We conducted comparison analysis between Arabidopsis and rice leaf transcriptome throughout the diurnal cycle. In summary, our analysis approach is feasible for relatively unbiased identification of diurnal transcripts, efficiently detecting some special periodic patterns with non-sinusoidal periodic patterns. Compared to the rice flag leaves, the gene transcription levels of seedling leaves were relatively limited to the diurnal rhythm. Our comprehensive microarray analysis of seedling and flag leaves of rice provided an overview of the rice diurnal transcriptome and indicated some diurnal regulated biological processes and key functional pathways in rice.
2011-03-24 | GSE28124 | GEO