Project description:Jasmonates (JAs) are key phytohormones that orchestrate plant defense and developmental responses. To characterize transcriptome-wide JA responses in Brassica rapa var. trilocularis, we performed time-course RNA sequencing of mock- and methyl jasmonate (MeJA)-treated R-o-18 seedlings. Leaf tissues were collected at 10 min, 24 h, and 72 h after treatment. MeJA induced rapid and extensive transcriptional reprogramming, including activation of defense-related metabolic pathways and suppression of auxin-responsive, cell-cycle, and stomatal-development genes. MeJA also induced ethylene biosynthesis and signaling genes and coordinately activated transcription factors and biosynthetic genes associated with aliphatic and indolic glucosinolate accumulation. These data provide a transcriptomic resource for understanding jasmonate-mediated growth-defense tradeoffs and chemical defense metabolism in B. rapa.
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.
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.
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