Project description:We reported the application of high-throughput sequencing technology (RNA-seq) for the transcriptome of T. chinensis cells and the transcriptional alternatives of that responded to MeJA were comprehensively and quantitatively assessed with high-throughput sequencing technology (RNA-seq). By sequencing > 29 million reads (200 bp in length) of cDNA from each of MeJA-treated T. chinensis cells at 16 h (T16) and the control (T0), we identified 46,581 transcripts and uncovered 13,469 genes differentially expressed in response to MeJA. We provided functional clues for understanding the regulation mechanisms of MeJA-mediated defense responses and taxol biosynthesis.
Project description:Pistacia chinensis Bunge is known as dioecious, but we have found wild monoecious individuals. In order to screen the candidate genes which may influence the sex expression or floral phenotypic differences of P. chinensis, the inflorescence buds for different sex types associated with the sex differentiation were selected and tested for small RNA sequencing. Sex-specific differentially expressed small RNA were discovered, combined with real-time PCR data, the regulation patterns of various sex types were first revealed. Our study represents the first detailed analysis of small RNA sequencing, providing more clues for understanding the mechanism of sex determination on P. chinensis.
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
Project description:Rosa chinensis ‘Pallida’ (Rosa L.) is one of the most important ancient rose cultivars originating from China. It contributed the ‘tea scent’ trait to modern roses. However, little information is available on the gene regulatory networks involved in scent biosynthesis and metabolism in Rosa. In this study, the transcriptome of R. chinensis ‘Pallida’ petals at different developmental stages, from flower buds to senescent flowers, was investigated using Illumina sequencing technology. De novo assembly generated 89,614 clusters with an average length of 428 bp. Based on sequence similarity search with known proteins, 62.9% of total clusters were annotated. Out of these annotated transcripts, 25,705 and 37,159 sequences were assigned to gene ontology and clusters of orthologous groups, respectively. The dataset provides information on transcripts putatively associated with known scent metabolic pathways. Digital gene expression (DGE) was obtained using RNA samples from flower bud, open flower and senescent flower stages. Comparative DGE and quantitative real time PCR permitted the identification of five transcripts encoding proteins putatively associated with scent biosynthesis in roses. The study provides a foundation for scent-related genes discovery in roses.
