Dataset of De novo leaf, salicylic induced leaf and flower transcriptome profiling of Datura metel plant

Data Brief. 2023 Oct 29:51:109737. doi: 10.1016/j.dib.2023.109737. eCollection 2023 Dec.

Abstract

Datura metel L (thorn's apple) is a popular plant belonging to the family Solanaceae, growing all around the year in humid and warm climates. The importance of D. metel as a medicinal marvel is due to secondary metabolites within various parts of the plant, which serve different therapeutic functions. The whole plant is considered a narcotic, anodyne, and antispasmodic, while the leaves, bark, and seeds are also separately used in extractions. The biological potency of the plant has been used in traditional medicine for over a century. Currently, plant parts are used as a rich source in pharmaceutical manufacturing of secondary metabolites such as flavonoids, saponins, alkaloids, steroids, tannins, and withanaloids. D. metel has proven advanced functions of antiviral effects, antibacterial and antifungal effects, anti-inflammatory, analgesic, antipyretic, hepatoprotective, nephroprotective effect, anticancer, and to treat chronic cardiovascular diseases, diabetes, and neurological ailments. This is the first report on transcriptome assembly for this plant. The raw RNA sequencing data for leaf, salicylic-induced leaf, and flower are available at the NCBI Sequence Read Archive (SRA) under the Bioproject access PRJNA838784. The raw RNA sequencing data that is currently accessible can be utilized to conduct differential gene expression investigations pertaining to various secondary metabolite pathways and diverse tissues, as well as for the research of gene expression related to stress induced by salicylic acid in leaf tissues of the plant. Gene functions can be evaluated and mostly utilized for gene clustering data analysis, gene characterizations, and the identification of genes involved in linked biological pathways in plant studies.

Keywords: Datura metel; De novo sequencing; Gene annotations; Leaf; Secondary metabolites; Transcriptomics.