Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Detection of copy number variations in rice using array-based comparative genomic hybridization

ABSTRACT: Copy number variations (CNVs) can create new genes, change gene dosage, reshape gene structures, and modify elements regulating gene expression. As with all types of genetic variation, CNVs may influence phenotypic variation and gene expression. CNVs are thus considered major sources of genetic variation. Little is known, however, about their contribution to genetic variation in rice. To detect CNVs, we used a set of NimbleGen whole-genome comparative genomic hybridization arrays containing 715,851 oligonucleotide probes with a median probe spacing of 500 bp. We compiled a high-resolution map of CNVs in the rice genome, showing 641 CNVs between the genomes of the rice cultivars ‘Nipponbare’ (from O. sativa ssp. japonica) and ‘Guang-lu-ai 4’ (from O. sativa ssp. indica). These CNVs contain some known genes. They are linked to variation among rice varieties, and are likely to contribute to subspecific characteristics.

ORGANISM(S): Oryza sativa

PROVIDER: GSE30542 | GEO | 2012/07/01

SECONDARY ACCESSION(S): PRJNA144491

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Detection of copy number variations in rice using array-based comparative genomic hybridization

Project description:Copy number variations (CNVs) can create new genes, change gene dosage, reshape gene structures, and modify elements regulating gene expression. As with all types of genetic variation, CNVs may influence phenotypic variation and gene expression. CNVs are thus considered major sources of genetic variation. Little is known, however, about their contribution to genetic variation in rice. To detect CNVs, we used a set of NimbleGen whole-genome comparative genomic hybridization arrays containing 715,851 oligonucleotide probes with a median probe spacing of 500 bp. We compiled a high-resolution map of CNVs in the rice genome, showing 641 CNVs between the genomes of the rice cultivars M-bM-^@M-^XNipponbareM-bM-^@M-^Y (from O. sativa ssp. japonica) and M-bM-^@M-^XGuang-lu-ai 4M-bM-^@M-^Y (from O. sativa ssp. indica). These CNVs contain some known genes. They are linked to variation among rice varieties, and are likely to contribute to subspecific characteristics. Genomic DNA isolated from Nipponbare and Guang-lu-ai 4. Cy5 labeled DNA from Nipponbare used as reference and Cy3 labeled DNA from Guang-lu-ai 4 was hybridized to the 720K rice tiling array including three replicates. Fluorescence intensity data were normalized with qspline algorithm and ratio data were analyzed with the circular binary segmentation algorithm. Copy number variation calls were made if the averaged Log2 ratio of a segment was shifted by 1.0 from the baseline.

2012-06-30 | E-GEOD-30542 | biostudies-arrayexpress

Single-base resolution DNA methylomes of rice and functional roles of DNA methylation

Project description:To examine the rice genome methylation landscape and assess its functional significance, we generated the first single-base resolution genome methylation maps for Oryza sativa ssp. japonica, indica and their wild relatives, Oryza rufipogon and Oryza nivara. The methylation level of rice genomes is four times higher than that of Arabidopsis. Methylation in the promoter and gene body regions have similar patterns and effects on gene expression as those in Arabidopsis but different from a previous study on rice chromosomes 4 and 10. Most interestingly, we discovered for the first time that methylation in gene transcriptional termination regions can significantly repress gene expression, and the effect is even stronger than promoter methylation, which opens a new direction in the study of epigenetic regulation of gene expressions. Through integrated analysis of genetic, methylome and expression variation between cultivated and wild rice, we found that the genetic factor reflected by DNA variations may be the major determinant for methylation patterns at the whole-genome level and that methylation variation can only account for limited expression variation of genes between cultivated and wild rice.

2011-11-04 | GSE20871 | GEO

Transcriptomes of transgenic rice expressing a constitutively active phytochrome OsPHYB-Y283H (OsYHB) allele

Project description:The present study quantifies the transcriptomes of wild-type and transgenic Ubi::OsYHB rice seedlings (in the genetic background of Oryza sativa ssp. japonica CV Nipponbare) grown in the dark or under continous red light (Rc, at 50 µmol m-2 s-1) conditions.

2013-07-01 | GSE36320 | GEO

Single-base resolution DNA methylomes of rice and functional roles of DNA methylation

2011-11-04 | E-GEOD-20871 | biostudies-arrayexpress

Degradome sequencing reveals endogenous small RNA targets in rice (Oryza sativa L. ssp. indica)

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

The RNA-seq analysis of rice roots colonized by the endophytic bacterium Azoarcus olearius BH72 after one-, three- and seven-days post inoculation and after three days of boosted colonization.

Project description:Purpose: Transcriptional profiling of Oryza sativa japonica Nipponbare roots after one, three and seven days post inoculation with Azoarcus olearius BH72 (vs. non-inoculated controls) to understand the changes in transcriptomic response of rice roots to colonization by bacterial endophyte at initial stages of interaction; Additional set-up was included in which bacterial growth was boosted (through increasing 20-times carbon source - malic acid in the plant's hydroponic medium) to study rice roots transcriptome during enhanced colonization by the endophyte after three days post inoculation. Methods: Rice root mRNA profiles after one day, three days (including additional set-ups for boosted colonization), and seven days post inoculation with Azoarcus olearius BH72 and corresponding non-inoculated controls were generated by RNA sequencing, in triplicates, using Illumina NextSeq 500. Raw reads were then filtered, trimmed (PHRED > 33) and mapped onto IRGSP-1 version of Oryza sativa ssp. japonica cv. Nipponbare genome using CLC Genomics Workbench 8.5.1 (Qiagen, Germany). Expression of 17 selected genes was confirmed via RT-qPCR. Results: Using the RNA-Seq technology we obtained transcriptomic data from 24 sequencing libraries, with an average 46,181,160 clean reads per library, of which 87% or more were mapped onto the Oryza sativa ssp. japonica cv. Nipponbare IRGSP-1.0 genome (Fig. S3). We considered genes as differentially regulated (DEG) that exhibited at least 1.5-fold-change in expression level between Azo-colonized and non-colonized roots and FDR<0.05. Conclusions: Bacteria appeared to short-circuit the initial root defense responses for a compatible interaction during endophytic establishment, involving previously unknown putative rice candidate genes.

2021-09-01 | GSE174616 | GEO

Expression data from infected (Xanthomonas oryzae pv. Oryzae (P10)) leaf in japonica rice (cv. Y73)

Project description:Previously, we successfully introduce the bacterial blight resistance trait from Oryza meyeriana into O. sativa using asymmetric somatic hybridization with O. meyeriana as the donor species. After years of breeding, a progeny named Y73 was generated with recurrent parent O. sativa L. ssp. japonica cv. Dalixiang, and it shows high resistance to broad-spectrum of bacterial blight pathogens Xanthomonas oryzae pv. Oryzae (Xoo). However, the resistance mechanism of Y73 is remain undiscovered. To provide insights into the high resistance phenotype of these plants, we examined the transcriptome response in leaves of Y73 to the bacterial blight infection in this study. Xoo inoculated and mock inoculated rice plants were grown in growth room and the global analysis of gene expression events in rice leaves at 24 hours post inoculation (hpi) were analyzed using Affymetrix Rice GeneChip microarrays. We used microarrays to detail the global programme of gene expression underlying Xoo infection in rice Y73.

2012-02-27 | GSE36093 | GEO

Proteomic responses to drought vary widely among eight diverse genotypes of rice (Oryza sativa)

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

Degradome sequencing reveals endogenous small RNA targets in rice (Oryza sativa L. ssp. indica)

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

Whole-genome gene expression variation in 210 unrelated HapMap individuals

Project description:Extensive studies are currently being performed to associate disease susceptibility with one form of genetic variation, namely single nucleotide polymorphisms (SNPs). In recent years another type of common genetic variation has been characterised, namely structural variation, including copy number variations (CNVs). To determine the overall contribution of CNVs to complex phenotypes we have performed association analyses of expression levels of 14,925 transcripts with SNPs and CNVs in individuals who are part of the International HapMap project. SNPs and CNVs captured 83.6% and 17.7% of the total detected genetic variation in gene expression, respectively, but the signals from the two types of variation had little overlap. Interrogation of the genome for both types of variants may be an effective way to elucidate the causes of complex phenotypes and disease in humans. Keywords: gene expression

2007-02-09 | GSE6536 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data