De novo transcriptome analysis of Tibetan medicinal plant Dysphania schraderiana

Abstract

Dysphania schraderiana is widely distributed in Lhasa (Tibet, China) and used as a traditional medicine. However, the lack of genetic information hinders the understanding of its physiological processes, such as the biosynthesis of secondary metabolites. Herein, we used Illumina Hiseq4000 platform to sequence the transcriptome of flower and leaf tissues from D. schraderiana for the first time. Totally, 40,142 unigenes were assembled from approximately 5.2 million clean reads. All unigenes underwent gene prediction and were subsequently annotated in a NR (NCBI non-redundant protein) database, COG (Clusters of Orthologous Groups of proteins) database, and KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Among the 40,142 unigenes, 2,579 genes were identified as differentially expressed between flowers and leaves, and used in further enrichment analysis. Also, 2,156 unigenes were annotated as transcription factors. Furthermore, our transcriptome analysis resulted in the identification of candidate unigenes annotated to enzymes involved in terpenoid biosynthesis. Taken together, this work has laid the foundation for the investigation of secondary metabolite biosynthesis and other physiological processes of D. schraderiana .

De novo sequencing of Bletilla striata (Orchidaceae) transcriptome and identification of genes involved in polysaccharide biosynthesis

“…With the development and implementation of advanced DNA sequencing technologies, the biological metabolisms of active components may be discerned in medicinal plants (Fu et al, 2019;Liang et al, 2019;Niazian, 2019). There are few studies on the biosynthesis of polysaccharides (this research has focused primarily on fungal species) due to their unique structures and large molecular weights (Ribeiro et al, 2012;Zhang et al, 2019b).…”

Transcriptome and proteome of the corm, leaf and flower of Hypoxis hemerocallidea (African potato)

“…Further, differential expression analysis between the corm, leaf and flower provides a reduced set of uncharacterised genes that narrows down the list of genes possibly imparting medicinal properties to the corm. Cross-tissue transcriptomic analyses have been performed in the past to identify candidate genes involved in the biosynthesis of secondary metabolites in medicinal plants like Ferula asafoetida, Dysphania schraderiana and Salvia miltiorrhiza [21][22][23]. In this study, aside from transcriptomic analyses, proteomic profiling was performed on the flower, leaf and corm tissues from Hypoxis hemerocallidea.…”