Project description:The goal of this study is to investigate differential transcription profiles of leaf material/cells accumulating different levels of alkaloids in the anticancer plant Catharanthus roseus.
Project description:In this study, we aim to present a global transcriptome analysis of medicinal plant, Catharanthus roseus. We generated about 343 million high-quality reads from three tissues (leaf, root and flower) using Illumina platform. We performed an optimized de novo assembly of the reads and estimated transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses among tissue samples. We collected different tissue samples from the mature plants. Total RNA isolated from these tissue samples was subjected to Illumina sequencing. The sequence data was further filtered using NGS QC Toolkit to obtain high-quality reads. The filtered reads were used for de novo assembly optimization. The reads were further mapped to the Catharanthus transcripts via CLC Genomics Workbench and differential gene expression analysis was performed using DESeq software.
Project description:This dataset belongs to a set of three RNA-Seq experiments that were carried out to study the regulation of monoterpenoid indole alkaloid production in the medicinal plant Catharanthus roseus. For this dataset, C. roseus hairy roots overexpressing the well-known MIA biosynthesis regulator ORCA3 were analyzed by RNA-Seq. As control, C. roseus hairy roots expressing GUS were used. Each analyzed sample consisted of an independent hairy root line; three hairy root lines per construct were analyzed.
