Brassica sp.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA769222 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16311538_1.fastq.gz | Fastqsanger.gz | |||
| SRR16311538_2.fastq.gz | Fastqsanger.gz | |||
| SRR16311539_1.fastq.gz | Fastqsanger.gz | |||
| SRR16311539_2.fastq.gz | Fastqsanger.gz | |||
| SRR16311540_1.fastq.gz | Fastqsanger.gz |
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Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in transfer RNAs of all three sub-cellular transcriptomes across six diverse species that include, the single-celled algae Nannochloropsis oculata, the macro algae Caulerpa taxifolia and multi-cellular higher plants Arabidopsis thaliana, Brassica rapa, Triticum durum and Ginkgo biloba.
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Project description:Among Brassica rapa, rapid cycling Brassica rapa and Brassica rapa inbred line Kenshin showed contrasting leaf morphology. To identify genes associated with leaf morphology, four distinct F2 progeny of RcBr X Kenshin cross and their parents were selected. Leaf samples were collected from 6 materials, isolated total RNA, and subjected to newly developved 135K microarray. Experiments were performed with three or two biologic
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Project description:Deep sequencing of mRNA from seven different tissues of Brassica oleracea Analysis of ploy(A)+ RNA of multiple different tissues of Brassica oleracea containing Bud, Callus, Root, Stem, Leaf, Flower and Silique.
2014-05-27 | E-GEOD-42891 | biostudies-arrayexpress
Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in non-coding ribosomal RNAs of all three sub-cellular transcriptomes across six diverse species that included, the single-celled algae Nannochloropsis oculata, the macro algae Caulerpa taxifolia and multi-cellular higher plants Arabidopsis thaliana, Brassica rapa, Triticum durum and Ginkgo biloba. RNA-seq was performed on total RNA for all species except for Arabidopsis in order to generate rRNA reference sequences using the Arabidopsis rRNA sequences (TAIR10) as a guide.
2015-10-01 | GSE68447 | GEO
Project description:Deep sequencing of mRNA from seven different tissues of Brassica oleracea
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Project description:Hi-C sequencing data of three Brassica species
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Project description:Cytosine DNA methylation (mC) can silence transposable elements (TEs) and regulate gene expression. However, the mechanism and function of DNA methylation reprogramming during plant development are still largely unknown. To explore the DNA methylation dynamics during the male sexual-lineage development in the Brassicaceae family, we assessed the mC level in meiocyte, microspore and pollen of a Brassica rapa doubled haploid (DH) line by whole genome bisulfite sequencing (WGBS). Analysis of global mC profiles showed that significant reprogramming of CHH methylation occurred in the Brassica rapa male sex cells, similar to that observed in Arabidopsis. Analysis of differential methylation sites identified specific methylation loci in sex cells that can target and possibly regulate gene expression, suggesting a mechanism consistent with that of Arabidopsis. Quite a few long terminal repeat (LTR) transposable elements were activated in meiocyte and microspore, which correlated with reduced DNA methylation. Expression analysis of key genes that affect DNA methylation showed that active methylation and demethylation occurred during male sexual lineage development. These results suggest a conserved DNA methylation reprogramming mechanism during Brassica rapa male sex lineage development. The transcriptome and DNA methylome data obtained will also be useful for other mechanism studies in Brassica rapa.
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Project description:Purpose: We conducted an evolutionary-based genome-wide analysis of the MYB-CC gene family in Brassica species. Methods: B. napus (accession Zhongshuang11) was kindly provided by the Oilcrops Research Institute, Chinese Academy of Agricultural Sciences. The seeds were disinfected in 70% ethanol for 1 min, washed with ddH2O three to four times, placed on a petri dish lined with two layers of filter paper, and then germinated at 24oC in growth chamber. After three days, the germinated seedlings were transferred to MS medium containing 0.3% agar and 3% sucrose at pH 5.7. The seedlings grew at 24oC under a long-day light cycle (16 h light/8 h dark) and a relative humidity of 65%. Then the two-week-old plants were cultured in 1 mM and 1 μM Pi liquid medium for 24 h, respectively. Rapeseed seedlings’ shoots and roots were collected and frozen in liquid nitrogen. The RNA-seq analysis was carried out by Biomarker (Beijing). A total of 16 RNA samples were sequenced using the Illumina HiSeq 2,000 platform (Illumina, USA). Results: The position of the MYB-CC genes was investigated according to the B. napus database (http://www.genoscope.cns.fr), the B. oleracea genome database (http://www.ocri-genomics.org), and the Brassica database (BRAD, http://brassicadb.org), respectively. MapInspect software was used to locate the MYB-CC genes. The gene duplication was defined as: a coverage region between two sequences of more than 70% with more than 85% similarity in the coverage region (Zhou et al., 2004; Yang et al., 2008). Additionally, the ka (non-synonymous mutation rate) and ks (synonymous mutation rate) values of the repeating gene pairs were calculated using DnaSp software. Conclusions:This study comprehensively evaluated the identification, classification, expression and evolution analyses of MYB-CC gene family of Brassica species. A total of 30, 34, and 55 MYB-CC genes were identified in B. rapa, B. oleracea, and B. napus, respectively. All of the MYB-CC genes were divided into nine groups in the phylogenetic tree. Members of the same group have similar gene structures and conserved motifs, indicating that they could be conserved during evolution. In Brassica, WGT and allotetraploidy were vital for the expansion of MYB-CC genes.
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Project description:The mapping and functional analysis of quantitative traits in Brassica rapa can be greatly improved with the availability of physically positioned, gene-based genetic markers and accurate genome annotation. In this study, deep transcriptome RNA sequencing (RNA-Seq) of Brassica rapa was undertaken with two objectives: SNP detection and improved transcriptome annotation. We performed SNP detection on two varieties that are parents of a mapping population to aid in development of a marker system for this population and subsequent development of high-resolution genetic map. An improved Brassica rapa transcriptome was constructed to detect novel transcripts and to improve the current genome annotation. Deep RNA-Seq of two Brassica rapa genotypesâR500 (var. trilocularis, Yellow Sarson) and IMB211 (a rapid cycling variety)âusing eight different tissues (root, internode, leaf, petiole, apical meristem, floral meristem, silique, and seedling) grown across three different environments (growth chamber, greenhouse and field) and under two different treatments (simulated sun and simulated shade) generated 2.3 billion high-quality Illumina reads. In this experiment, two pools were made, with one pool consisting of 66 samples collected from growth chamber and another pool consisting of 60 samples collected from greenhouse and field. Each pool was sequenced on eight lanes (total 16 lanes) of an Illumina Genome Analyzer (GAIIx) as 100-bp paired end reads.
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