ArticlePloS one2014
Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 70 citations in OpenAlex.
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- Validation of suitable reference genes by various algorithms for gene expression analysis in Isodon rubescens under different abiotic stresses.Scientific reports · 2022Article
- Transcriptome analysis of MYB transcription factors family and PgMYB genes involved in salt stress resistance in Panax ginseng.BMC plant biology · 2022Article
- Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis of Development and Tissue-Dependent Flower Color Formation inInternational journal of molecular sciences · 2022Article
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- Basic leucine zipper (bZIP) transcription factor genes and their responses to drought stress in ginseng, Panax ginseng C.A. Meyer.BMC genomics · 2021Article
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- Siderophore-producing rhizobacteria reduce heavy metal-induced oxidative stress inJournal of ginseng research · 2021Article
- Validation of reference genes for quantitative gene expression in the Lippia alba polyploid complex (Verbenaceae).Molecular biology reports · 2021Article
- Optimization of internal reference genes for qPCR in human pancreatic cancer research.Translational cancer research · 2020Article
- Pathogenesis strategies and regulation of ginsenosides by two species ofJournal of ginseng research · 2020Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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