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 use...

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Main Authors: Jing Liu, Qun Wang, Minying Sun, Linlin Zhu, Michael Yang, Yu Zhao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0112177
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spelling doaj-d5879a848f92462695552b46089c2ed92021-03-03T20:11:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11217710.1371/journal.pone.0112177Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.Jing LiuQun WangMinying SunLinlin ZhuMichael YangYu ZhaoQuantitative 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.https://doi.org/10.1371/journal.pone.0112177
collection DOAJ
language English
format Article
sources DOAJ
author Jing Liu
Qun Wang
Minying Sun
Linlin Zhu
Michael Yang
Yu Zhao
spellingShingle Jing Liu
Qun Wang
Minying Sun
Linlin Zhu
Michael Yang
Yu Zhao
Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
PLoS ONE
author_facet Jing Liu
Qun Wang
Minying Sun
Linlin Zhu
Michael Yang
Yu Zhao
author_sort Jing Liu
title Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
title_short Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
title_full Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
title_fullStr Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
title_full_unstemmed Selection of reference genes for quantitative real-time PCR normalization in Panax ginseng at different stages of growth and in different organs.
title_sort selection of reference genes for quantitative real-time pcr normalization in panax ginseng at different stages of growth and in different organs.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0112177
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