Brassica rapa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA175835 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2014-04-22 | E-MTAB-4276 | biostudies-arrayexpress
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
2018-05-15 | GSE114479 | GEO
Project description:Transcription profiling by array of 10 days old Brassica rapa ssp. chinensis seedlings treated with 2mM methyl jasmonate by spraying and harvesting 48 hours past treatment
2015-01-24 | E-MTAB-2386 | biostudies-arrayexpress
Project description:A mapping population of Brassica rapa (BraIRRI, IMB211xR500) was grown under four external calcium and magnesium concentrations in controlled conditions. RNA was extracted and hybridised to the Affymetrix Brassica Exon 1.0 ST array. The aim of the experiment was to identify cis- and trans- expression quantitative trait loci.
2014-05-21 | GSE44185 | GEO
Project description:we deep-sequenced two small RNA libraries made from V. longisporum infected/non-infected roots and employed Brassica rapa and Brassica oleracea genomes as reference for miRNA prediction and characterization as well. We identified 893 B. napus miRNAs representing 360 conserved and 533 novel miRNAs, and mapped 429 and 464 miRNAs to AA and CC genomes, respectively. Among them, 62 miRNAs were responsive to the V. longisporum infection.
2014-10-06 | GSE58322 | GEO
Project description:Root and leaf samples from Brassica rapa line R-O-18 were compared. The results will be compared to the same samples hybridised to the Affymetrix Brassica Exon 1.0 ST array.
2010-09-10 | GSE23409 | GEO
Project description:Root and leaf samples from Brassica rapa line R-O-18 were compared. The results will be compared to the same samples hybridised to the Affymetrix Brassica Exon 1.0 ST array. 6 samples were hybridised. Triplcate samples of 11 day old roots and 2 semi-expanded leaves from 23 day old Brassica rapoa R-O-18 plants.
2010-09-10 | E-GEOD-23409 | biostudies-arrayexpress
Project description:Deep RNA-Seq of two Brassica rapa genotypes—R500 (var. trilocularis, Yellow Sarson) and IMB211 (a rapid cycling variety)—using 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.
2013-05-01 | E-MTAB-4192 | biostudies-arrayexpress
Project description:The aim of this study was to identify eQTL in Brassica rapa grown under altered soil phosphorus (P) supply, to understand better the genetic architecture of P-use efficiency (PUE) in plants. Recombinant inbred lines (RILs) of the BraIRRI mapping population were grown at adequate and growth-limiting soil P. Variation in leaf gene expression was quantified using an Agilent Brassica 95k oligonucleotide array. Informative gene expression markers (GEMs) were used to map eQTL and PUE-related QTL. Gene expression was highly dependent on soil P supply. However, the altered expression of many genes, including known P-responsive genes, was highly heritable. Interval mapping using P supply as a covariate revealed 18,876 eQTL, representing 15,912 unique probes. Notable trans-eQTL hotspots occurred on chromosomes A06 and A01; these were enriched with protein modification and phosphorus metabolism-related (A06), as well as chloroplast and photosynthesis-related (A01) transcripts. Regulatory loci and genes associated with P-use efficiency identified through eQTL analysis are potential targets for further characterisation and may have potential for crop improvement. Availability of the annotated B. rapa genome sequence will facilitate their study, including the separation of cis- and trans- effects. The experiment was designed to identify expression QTL associated with availability of phosphorus in Brassica rapa. Seventy-eight informative lines from the “BraIRRI” mapping population of Brassica rapa L. (2n = 2x = 10; A-genome) and the two parent lines (IMB211, female; R500, male) were selected for study. The establishment of the BraIRRI population is described by Iniguez-Luy et al. (2009). Plants were grown from seed in compost, under two [P]ext treatments of 9 mg L-1 (low) or 30 mg L-1 (optimal) Olsen extractable P. RNA was extracted from leaf samples from one experimental run (78 lines at low and optimal [P]ext, with one line duplicated i.e. 158 samples), and from leaf samples from the parent lines at low and optimal P in all three experimental runs (12 samples) using a modified TRIzol extraction method (Hammond et al., 2006).
2011-06-29 | E-GEOD-27052 | biostudies-arrayexpress
Project description:The aim of this study was to identify eQTL in Brassica rapa grown under altered soil phosphorus (P) supply, to understand better the genetic architecture of P-use efficiency (PUE) in plants. Recombinant inbred lines (RILs) of the BraIRRI mapping population were grown at adequate and growth-limiting soil P. Variation in leaf gene expression was quantified using an Agilent Brassica 95k oligonucleotide array. Informative gene expression markers (GEMs) were used to map eQTL and PUE-related QTL. Gene expression was highly dependent on soil P supply. However, the altered expression of many genes, including known P-responsive genes, was highly heritable. Interval mapping using P supply as a covariate revealed 18,876 eQTL, representing 15,912 unique probes. Notable trans-eQTL hotspots occurred on chromosomes A06 and A01; these were enriched with protein modification and phosphorus metabolism-related (A06), as well as chloroplast and photosynthesis-related (A01) transcripts. Regulatory loci and genes associated with P-use efficiency identified through eQTL analysis are potential targets for further characterisation and may have potential for crop improvement. Availability of the annotated B. rapa genome sequence will facilitate their study, including the separation of cis- and trans- effects.
2011-06-29 | GSE27052 | GEO