Evaluation of Angelica decursiva reference genes under various stimuli for RT-qPCR data normalization.

ABSTRACT: Angelica decursiva is one of the lending traditional Chinese medicinal plants producing coumarins. Notably, several studies have focused on the biosynthesis and not the RT-qPCR (quantitative real-time reverse transcription polymerase chain reaction) study of coumarins. This RT-qPCR technique has been extensively used to investigate gene expression levels in plants and the selection of reference genes which plays a crucial role in standardizing the data form the RT-qPCR analysis. In our study, 11 candidate reference genes were selected from the existing transcriptome data of Angelica decursiva. Here, four different types of statistical algorithms (geNorm, NormFinder, BestKeeper, and Delta Ct) were used to calculate and evaluate the stability of gene expression under different external treat

SUBMITTER: He Y 

PROVIDER: S-EPMC8460625 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature