Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
Quantitative real-time reverse transcription PCR (qRT-PCR) has become a widely used method for gene expression analysis; however, its data interpretation largely depends on the stability of reference genes. The transcriptomics of Panax ginseng, one of the most popular and traditional ingredients used in Chinese medicines, is increasingly being studied. Furthermore, it is vital to establish a series of reliable reference genes when qRT-PCR is used to assess the gene expression profile of ginseng. In this study, we screened out candidate reference genes for ginseng using gene expression data generated by a high-throughput sequencing platform. Based on the statistical tests, 20 reference genes (10 traditional housekeeping genes and 10 novel genes) were selected. These genes were tested for the normalization of expression levels in five growth stages and three distinct plant organs of ginseng by qPCR. These genes were subsequently ranked and compared according to the stability of their expressions using geNorm, NormFinder, and BestKeeper computational programs. Although the best reference genes were found to vary across different samples, CYP and EF-1α were the most stable genes amongst all samples. GAPDH/30S RPS20, CYP/60S RPL13 and CYP/QCR were the optimum pair of reference genes in the roots, stems, and leaves. CYP/60S RPL13, CYP/eIF-5A, aTUB/V-ATP, eIF-5A/SAR1, and aTUB/pol IIa were the most stably expressed combinations in each of the five developmental stages. Our study serves as a foundation for developing an accurate method of qRT-PCR and will benefit future studies on gene expression profiles of Panax Ginseng.
Traditional Chinese Medicine and Biotechnology Research and Development Center, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, People's Republic of China.
Jing
J
Liu
Traditional Chinese Medicine and Biotechnology Research and Development Center, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, People's Republic of China.
Qun
Q
Wang
Traditional Chinese Medicine and Biotechnology Research and Development Center, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, People's Republic of China.
Minying
M
Sun
Traditional Chinese Medicine and Biotechnology Research and Development Center, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, People's Republic of China.
Linlin
L
Zhu
College of Dental Medicine, Columbia University, New York, United States of America.
Michael
M
Yang
Traditional Chinese Medicine and Biotechnology Research and Development Center, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, People's Republic of China.
Yu
Y
Zhao
D020869:Gene Expression Profiling / Q000379:methods / Q000592:standards*; D020043:Genes, Essential; D017343:Genes, Plant; D005894:Panax / Q000235:genetics* / Q000254:growth & development; D060888:Real-Time Polymerase Chain Reaction / Q000379:methods / Q000592:standards*; D012015:Reference Standards; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods / Q000592:standards*