Evaluation of Reference Genes for Normalizing RT-qPCR and Analysis of the Expression Patterns of Transcription Factor and Rhynchophylline Biosynthesis-Related Genes in .

(Miq.) Miq. ex Havil, a traditional medicinal herb, is enriched with several pharmacologically active terpenoid indole alkaloids (TIAs). At present, no method has been reported that can comprehensively select and evaluate the appropriate reference genes for gene expression analysis, especially the transcription factors and key enzyme genes involved in the biosynthesis pathway of TIAs in . Reverse transcription quantitative PCR (RT-qPCR) is currently the most common method for detecting gene expression levels due to its high sensitivity, specificity, reproducibility, and ease of use. However, this methodology is dependent on selecting an optimal reference gene to accurately normalize the RT-qPCR results. Ten candidate reference genes, which are homologues of genes used in other plant species and are common reference genes, were used to evaluate the expression stability under three stress-related experimental treatments (methyl jasmonate, ethylene, and low temperature) using multiple stability analysis methodologies. The results showed that, among the candidate reference genes, S-adenosylmethionine decarboxylase () exhibited a higher expression stability under the experimental conditions tested. Using as a reference gene, the expression profiles of 14 genes for key TIA enzymes and a transcription factor were examined under three experimental stress treatments that affect the accumulation of TIAs in . The expression pattern of was similar to that of tryptophan decarboxylase () under ETH treatment. This research is the first to report the stability of reference genes in and provides an important foundation for future gene expression analyses in The RT-qPCR results indicate that the expression of is similar to that of under ETH treatment. It may coordinate the expression of , providing a possible method to enhance alkaloid production in the future through synthetic biology.