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: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:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
2024-09-02 | MODEL2408160001 | BioModels
Project description:SMRT- and Illumina-based RNA-seq data of Fenneropenaeus chinensis
Project description:Purpose:We aimed to characterize genome-widely the miRNA population and phasiRNA-generating genes/loci in litchi (Litchi chinensis). Multiple high throughput sequencing strategies, including sRNA sequencing, parallel analysis of RNA ends (PARE) sequencing, and strand-specific RNA-seq, were applied in combination with thorough bioinformatics analyses using a variety of computational methods.
