Published November 2021 | Version v1
Journal article

Selection and evaluation of reference genes by RT-qPCR analysis in aconitum vilmorinianum kom

  • 1. Kunming University of Science and Technology, Kumming (China). Dept. of Environmental Sciences
  • 2. South West Forestery University, Kumming (China). Dept. of Forestry

Description

Aconitum vilmorinianum Kom. is one of the most important traditional Chinese medicine. However, there are few reports on the molecular biology of A. vilmorinianum. Fluorescence quantitative real-time polymerase chain reaction (RTqPCR) is widely used detection method for target gene expression analysis, but the selection of the best reference gene is very important for the accuracy of the method. In this study, based on transcriptome data six candidate internal reference genes were selected for the first time and their expression stability in root, stem, leaf and flower of A. vilmorinianum was systematically evaluated by geNorm, Normfinder and BestKeeper. The results showed that MDH, GAPDH and 18S RNA could be used as reference genes in root; MDH and18S RNA can be used as reference genes in stem; MDH, GAPDH and β- TUB could be used as reference genes in leaf, and GAPDH, 18S RNA and ACT could be used as reference genes in flower. In addition, the applicability of the selected reference genes was verified by detecting two functional genes related to alkaloid metabolism, namely hydroxymethylglutaryl-CoA reductase (HMGCR) and phosphomevalonate kinase (PMK). The expression profiles of the HMGCR and PMK genes were similar after standardization to the stably expressed reference genes MDH, GADPH, 18S RNA and ACT. However, when UBQ was used as the reference gene, the expression profiles of HMGCR and PMK genes were different. These results provide useful information for obtaining reliable RT-qPCR standardized data in genetic research on A. vilmorinianum. (author)

Additional details

Publishing Information

Journal Title
Pakistan Journal of Botany
Journal Volume
53
Journal Issue
6
Journal Page Range
p. 2099-2109
ISSN
0556-3321

INIS

Country of Publication
Pakistan
Country of Input or Organization
Pakistan
INIS RN
52110612
Subject category
S60: APPLIED LIFE SCIENCES;
Descriptors DEI
ACCURACY; GENES; LEAVES; MOLECULAR BIOLOGY; PLANT STEMS; POLYMERASE CHAIN REACTION; TRANSCRIPTION
Descriptors DEC
GENE AMPLIFICATION