Project description:Orchidaceae are renowned for their spectacular flowers as well as other reproductive and ecological adaptations. After the genome of the tropical epiphytic orchid Phalaenopsis equestris was sequenced, we combined Trinity data for de novo assembly and Illumina HiSeq1500 data for RNA-Seq analysis to characterize the transcriptomes of four different organs for a better understanding of the molecular mechanisms driving these characteristics. We present four de novo assembled transcripts reconstructed from RNA collected from the root, stem, leaf, and flower of Phalaenopsis equestris. These sets of transcripts greatly enrich the available data for Phalaenopsis equestris. Here, we present two databases, and each dataset allows for a different type of search for candidate homologues. The first dataset consists of the sets of assembled unigenes, which enable a sequence-based search. A comprehensive analysis of the assembled unigenes revealed the unigenes from root, stem, leaf, and flower with high e-values aligned versus the Nr, Swiss-Port, KEGG, COG, and GO database, respectively. This analysis enabled the production of a second database, which includes sequences correlated with annotated transcript names as well as the confidence of the best hit from BLAST.
Project description:Chinese narcissus is well-known monocot plants with beautiful color, fresh and sweet floral scent. A lack of transcriptomic and genomic information hinders our understanding of the molecular mechanisms of narcissus floral scent volatiles biosynthesis. Hence, we hypothesized the functions of the significant differentially expressed genes (DEGs) identified using Illumina RNA-Seq technology, according to public protein annotation databases in this study.
