Project description:To improve the gene annotation and address a series of biological questions, we generated 490,502,822 clean reads of RNA-Seq data from nine tissue types of 'sijimi' longan, including root, stem, leaf, flower_bud, flower, young fruit, pericarp, pulp, and seed, and used them for mapping, and annotation of the longan genome sequence. About 53.55 ~79.40 % of the unique RNA sequences from nine RNA-seq data could be mapped to the genome. RNA-Seq data confirmed a majority of annotated introns, identified thousands of novel alternatively spliced mRNA isoforms, extend gene, SNP and indel, indicative of more functional variation than represented by the gene set alone, and a collection of potentially new and longan-specific gene. A comparative analysis of differential expression in the gene family at the nine different developmental stages showed that most of significant differentially expressed genes were mainly involved in the metabolic pathway, plant- pathogen interaction, and biosynthesis of secondary metabolities, which was fully consistent with the standpoint of D. longan specise containing a lot of plant pahtogen resistant genes, and in particular containing high levels of polyphenolic compounds
2017-03-10 | GSE84467 | GEO
Project description:Transcriptome analysis of longan pericarp
Project description:To determine which of the genes differentially expressed between P1-rr and P1-ww pericarps were immediate (direct) targets of P1, we conducted chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-Seq) using P1 polyclonal antibodies (alphaP1344) that recognize the non-conserved C-terminal region of P1 (Falcone Ferreyra et al., 2010), on pericarp chromatin. Comparison of pericarp chromatin inmunoprecipitated material P-rr_14DAP (P1 expressed) vs P-ww_14DAP (P1 not expressed) to determine P1 direct targets
Project description:Endoreduplication, during which cells increase their DNA content through successive rounds of full genome replication without cell division, is the major source of endopolyploidy in higher plants. Endoreduplication plays pivotal roles in plant growth and development and is associated with the activation of specific transcriptional programs that are characteristic to each cell type, thereby defining their identity. In plants, endoreduplication is found in numerous organs and cell types and especially in agronomically valuable ones, such as the fleshy fruit (pericarp) of tomato presenting high ploidy levels. We used the tomato pericarp tissue as a model system to explore the transcriptomes associated with endoreduplication progression during fruit growth. We confirmed that expression globally scales with ploidy level and identified sets of genes differentially expressed when comparing ploidy levels at a specific developmental stage. We found that non-endoreduplicated cells are defined by cell division state and cuticle synthesis while endoreduplicated cells are mainly defined by their metabolic activity changing rapidly over time. By combining this dataset with publicly available spatiotemporal pericarp expression data, we proposed a map describing the distribution of ploidy levels within the pericarp. These transcriptome-based predictions were validated by quantifying ploidy levels within the pericarp tissue. This in situ ploidy quantification revealed the dynamic progression of endoreduplication and its cell layer specificity during early fruit development. In summary, the study sheds light on the complex relationship between endoreduplication, cell differentiation, and gene expression patterns in the tomato pericarp.
Project description:In the present study, we employed the high-throughput sequencing technology to profile miRNAs in the inner and outer pericarp of Actinidia chinensis cv. Hongyang. After sequencing and cleaning, the numbers of clean reads generated from these four libraries were 18,203,332, 9,356,430, 11,006,231 and 11,314,375, respectively. Approximately 93.62%, 93.67%, 92.75% and 93.28% clean reads were respectively mapped to the kiwifruit genome with perfect matches. Subsequently, differentially expressed genes were compared between the inner and outer pericarps. Significant differences in both up- and down-regulated genes were identified in inner and outer percarps by comparing expression levels. The results showed that there were significantly 450 up-regulated and 416 down-regulated DEGs in inner pericarp as compared to the outer pericarp.