Transcriptome analysis of abscisic acid induced 20E regulation in suspension Ajuga lobata cells

Abstract

D. Don is a medicinal plant rich in 20-hydroxyecdysone (20E), alkaloids, and other active substances. In this study, the cell suspension was incubated for 7 days, followed by the analysis on the effects of abscisic acid (ABA) on the regulation of 20E synthesis. Then suspension cells treated with 0.15 mg/l ABA were used as material, with the Illumina technology applied for transcriptome sequencing. Digital analysis on the gene expression profile was carried out on ABA treated and control samples, respectively. Finally, transcriptomics was applied to assess the molecular response of induced by ABA through applying transcriptomics by evaluating differentially expressed genes. The results suggested that ABA promoted 20E accumulation, while longer processing time caused cell browning. A total of 154 genes were significantly regulated after ABA treatment, with 99 up-regulated and 55 down-regulated, respectively. In addition to 20E-related pathways, the genes belonged to the ko00900 (terpenoid backbone biosynthesis) pathway (six differentially expressed genes [DEGs]), ko00100 (steroid biosynthesis) pathway (four DEGs), and ko00140 (steroid hormone biosynthesis) pathway (six DEGs). Providing a better understanding of the 20E biosynthetic pathway and its regulation, in particular in plants, this study is necessary.

Transcriptome-based analysis of carotenoid accumulation-related gene expression in petals of Chinese cabbage (Brassica rapa L.)

“…Technological advancement and rapid cost reduction has allowed next-generation sequencing (NGS) to become an effective tool for revealing potential molecular mechanisms of biological processes and has been widely applied to fine mapping of genes (Liu et al 2015;Zhang et al 2016;Chen et al 2017) and expression analysis of whole genes (Huang et al 2015;Zhou et al 2017;Alghamdi et al 2018;Wang et al 2018;Xu et al 2018). RNA sequencing (RNA-Seq) has served as a rapid and exact method for obtaining large amounts of gene expression data used to identify critical genes associated with various important agronomic traits in many horticultural plants, such as almonds (Hosseinpour et al 2018), cucumber (Zhang et al 2014), radish (Feng et al 2017), and Brassica rapa (Huang et al 2015;Zhou et al 2017;Li et al 2019).…”