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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

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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

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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.

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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.

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