Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1262126 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33539100_1.fastq.gz | Fastqsanger.gz | |||
| SRR33539100_2.fastq.gz | Fastqsanger.gz | |||
| SRR33539101_1.fastq.gz | Fastqsanger.gz | |||
| SRR33539101_2.fastq.gz | Fastqsanger.gz | |||
| SRR33539102_1.fastq.gz | Fastqsanger.gz |
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Project description:Agrobacterium tumefaciens-mediated genetic transformation has been routinely used in rice for more than a decade. However, the transformation efficiency of the indica rice variety is still unsatisfactory and much lower than that of japonica cultivars. Further improvement on the transformation efficiency lies in the genetic manipulation of the plant itself, which requires a better understanding of the underlying process accounting for the susceptibility of plant cells to Agrobacterium infection as well as the identification of plant genes involved in the transformation process. In order to investigate the related genes affecting the transformation efficiency of embryogenic calli of different rice cultivars, we used Affymetrix GeneChip® Rice Genome Array to measure the global gene expression profiling just before transformation and at four different time points after transformation (1 h, 6 h, 12 h, 24 h) in both japonica rice cultivar Nipponbare and indica rice cultivar Zhenshan 97.
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Project description:The publicly available genome sequence information of two rice strains, japonica cultivar Nipponbare and indica cultivar 93-11, opens a great opportunity for investigation of performances DNA genotyping by high-density oligonucleotide arrays. Here, we compare single feature polymorphism (SFP) detection performances between whole genome hybridization and transcript hybridization using Affymetrix Rice Expression Array and the two rice cultivars.
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Project description:Towards understanding gene expression variation among related rice lineages on a genome-wide scale, we sought to assess global gene expression in the heading-stage panicle using a whole genome oligonucleotide microarray designed to represent 36,926 annotated indica genes. Using a loop-design, we interrogated gene expression patterns in six related rice lineages, including O. sativa (two Asian cultivars indica and japonica), O. nivara (Asian annual wild rice), O. rufipogon (Asian perennial wild rice) and O. glaberrima (African cultivated rice). Series_sample_order: Sample 1-12 Slide A; Sample 13-24 Slide B
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Project description:By performing QTL mapping using 82 backcross inbred lines (BILs) of the Koshihikari (japonica) and Habataki (indica) cultivars for the rice initial growth, we identified two QTLs, qEPD1 and qEPD2, responsible for modulating plant height and/or leaf sheath length. To narrow down the number of candidate genes of each QTL, we conducted transcriptional profiling using RNAs isolated from the vegetative stem of Koshihikari and its two substituted lines (SL) with the Habataki qEPD1 or qEPD2 allele. Expression profiling with the rice 44K-Agilent microarray (Agilent-028517) was conducted using RNAs extracted from the 30-day-old vegetative stem of the corresponding lines. Each dataset was obtained from three biological replicates.
2012-03-31 | E-GEOD-35762 | biostudies-arrayexpress
Project description:By performing QTL mapping using 82 backcross inbred lines (BILs) of the Koshihikari (japonica) and Habataki (indica) cultivars for the rice initial growth, we identified two QTLs, qEPD1 and qEPD2, responsible for modulating plant height and/or leaf sheath length. To narrow down the number of candidate genes of each QTL, we conducted transcriptional profiling using RNAs isolated from the vegetative stem of Koshihikari and its two substituted lines (SL) with the Habataki qEPD1 or qEPD2 allele.
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Project description:Rice is the most salt sensitive cereal crop and its cultivation is particularly threatened by salt stress. This study reports the development of salt tolerant introgressed lines (ILs) derived from crosses between the salt tolerant indica rice variety FL478, which harbors the Saltol QTL, and the salt-sensitive japonica elite cultivar PL12. Although the introgression of the Saltol QTL has been widely used to improve salinity tolerance, the molecular basis underlying the salinity tolerance conferred by Saltol remains poorly understood. Equally, the impact of introgressions from a Saltol donor parent on the global transcriptome of ILs is largely unknown. Here, genotyping-by-sequencing (GBS) and Kompetitive allele specific PCR (KASP) genotyping, in combination with step-wise phenotypic selection in hydroponic culture, were used for the identification of salt-tolerant ILs. Transcriptome-based genotyping allowed the fine mapping of indica genetic introgressions in the best performing IL line (IL22). A total of 1,595 genes were identified in indica regions in IL22, which mainly located in large introgressions at Chromosomes 1 and 3. In addition to OsHKT1;5, an important number of genes potentially contributing to salt stress tolerance were identified in indica segments of IL22. Comparative transcript profiling also revealed important transcriptional reprograming in IL22 plants both under non-stress and salt-stress conditions, indicating an impact on the transcriptome of the japonica background by the indica introgressed genes and vice versa. Interactions among indica and japonica genes would provide novel regulatory networks contributing to salt stress tolerance in introgression rice lines.
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Project description:There are two main types of root systems in flowering plants, which are taproot systems in dicot and fibrous root systems in monocot. The cellular and molecular mechanism involved in root development are mainly from the study of dicot model Arabidopsis thaliana. However, mechanisms of root development and their conservation and divergence in monocot, which including the major crops, remain largely elusive. Here we profile the transcriptomes of more than 20,000 single cells in the root tips of two rice cultivars, Nipponbare (Nip; Japonica) and 93-11 (Indica). Single-cell analysis coupled with in situ hybridization identify the cell type-specific marker genes and annotate all the clusters. Comparison of single-cell transcriptome and analysis of mark gene expression suggest well-conserved molecular landscape between rice Nip and 93-11. Moreover, our analysis suggests specific functions gene expression patterns for each cell type cluster, including the hormone genes. Comparison to Arabidopsis single-cell RNA-sequencing dataset reveals extensive differences between Arabidopsis and rice cell types, and species-specific features emphasize the importance of directly studying rice root. Our study reveals transcriptome landscape of major cell types of rice root in singe-cell resolution and provides molecular insight of the cell type morphology of cell type evolution in plants.
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Project description:Agrobacterium tumefaciens-mediated genetic transformation has been routinely used in rice for more than a decade. However, the transformation efficiency of the indica rice variety is still unsatisfactory and much lower than that of japonica cultivars. Further improvement on the transformation efficiency lies in the genetic manipulation of the plant itself, which requires a better understanding of the underlying process accounting for the susceptibility of plant cells to Agrobacterium infection as well as the identification of plant genes involved in the transformation process. In order to investigate the related genes affecting the transformation efficiency of embryogenic calli of different rice cultivars, we used Affymetrix GeneChipM-BM-. Rice Genome Array to measure the global gene expression profiling just before transformation and at four different time points after transformation (1 h, 6 h, 12 h, 24 h) in both japonica rice cultivar Nipponbare and indica rice cultivar Zhenshan 97. The mature embryo-derived embryogenic calli of Nipponbare (Nip) and Zhenshan 97 (ZS) were infected by Agrobacterium. Calli of Nip and ZS were sampled just before infection (0 h) and 1h, 6h, 12 h and 24h after infection, respectively. Three independent biological replications for each time point of the two varieties were used. To avoid the influence of polymorphisms between the probe sequence on the array and the genomes of the varieties used, we used a genomic DNA (gDNA)-based probe-selection strategy based on the hybridization efficiency of gDNA from Nip and ZS with the PM oligonucleotide probes on the rice array. The genomic DNA of Nip and ZS were extracted and hybridized to the Affymetrix Rice Genome Arrays. Three biological replications per cultivar were performed.
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Project description:Purpose: The goal of this study is to compare the different genetic mechanisms between Indica and Japonica rice under cadmium stress.
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