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Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR

Quantitative real time reverse transcription polymerase chain reaction has been applied in a vast range of studies of gene expression analysis. However, real-time PCR data must be normalized with one or more reference genes. In this study, eleven putative consistently expressed genes (ACT, TUA, TUB,...

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Autores principales: Niu, Jun, Zhu, Baoqing, Cai, Jian, Li, Peixue, Wang, Libing, Dai, Huitang, Qiu, Lin, Yu, Haiyan, Ha, Denglong, Zhao, Haiyan, Zhang, Zhixiang, Lin, Shanzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126684/
https://www.ncbi.nlm.nih.gov/pubmed/25105495
http://dx.doi.org/10.1371/journal.pone.0103900
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author Niu, Jun
Zhu, Baoqing
Cai, Jian
Li, Peixue
Wang, Libing
Dai, Huitang
Qiu, Lin
Yu, Haiyan
Ha, Denglong
Zhao, Haiyan
Zhang, Zhixiang
Lin, Shanzhi
author_facet Niu, Jun
Zhu, Baoqing
Cai, Jian
Li, Peixue
Wang, Libing
Dai, Huitang
Qiu, Lin
Yu, Haiyan
Ha, Denglong
Zhao, Haiyan
Zhang, Zhixiang
Lin, Shanzhi
author_sort Niu, Jun
collection PubMed
description Quantitative real time reverse transcription polymerase chain reaction has been applied in a vast range of studies of gene expression analysis. However, real-time PCR data must be normalized with one or more reference genes. In this study, eleven putative consistently expressed genes (ACT, TUA, TUB, CYP, DNAj, ELFA, F-box27, RPL12, GAPDH, UBC and UBQ) in nine Siberian Apricot Germplasms (including much variability) were evaluated for their potential as references for the normalization of gene expression by NormFinder and geNorm programs. From our studies, ACT, UBC, CYP, UBQ and RPL12 as suitable for normalization were identified by geNorm, while UBC and CYP as the best pair by NormFinder. Moreover, UBC was selected as the most stably expressed gene by both algorithms in different Siberian Apricot seed samples. We also detected that a set of three genes (ACT, CYP and UBC) by geNorm as control for normalization could lead to accurate results. Furthermore, the expression levels of oleosin gene were analyzed to validate the suitability of the selected reference genes. These obtained experimental results could make an important contribution to normalize real-time PCR data for gene expression analysis in Siberian Apricot Germplasm.
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spelling pubmed-41266842014-08-12 Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR Niu, Jun Zhu, Baoqing Cai, Jian Li, Peixue Wang, Libing Dai, Huitang Qiu, Lin Yu, Haiyan Ha, Denglong Zhao, Haiyan Zhang, Zhixiang Lin, Shanzhi PLoS One Research Article Quantitative real time reverse transcription polymerase chain reaction has been applied in a vast range of studies of gene expression analysis. However, real-time PCR data must be normalized with one or more reference genes. In this study, eleven putative consistently expressed genes (ACT, TUA, TUB, CYP, DNAj, ELFA, F-box27, RPL12, GAPDH, UBC and UBQ) in nine Siberian Apricot Germplasms (including much variability) were evaluated for their potential as references for the normalization of gene expression by NormFinder and geNorm programs. From our studies, ACT, UBC, CYP, UBQ and RPL12 as suitable for normalization were identified by geNorm, while UBC and CYP as the best pair by NormFinder. Moreover, UBC was selected as the most stably expressed gene by both algorithms in different Siberian Apricot seed samples. We also detected that a set of three genes (ACT, CYP and UBC) by geNorm as control for normalization could lead to accurate results. Furthermore, the expression levels of oleosin gene were analyzed to validate the suitability of the selected reference genes. These obtained experimental results could make an important contribution to normalize real-time PCR data for gene expression analysis in Siberian Apricot Germplasm. Public Library of Science 2014-08-08 /pmc/articles/PMC4126684/ /pubmed/25105495 http://dx.doi.org/10.1371/journal.pone.0103900 Text en © 2014 Niu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Niu, Jun
Zhu, Baoqing
Cai, Jian
Li, Peixue
Wang, Libing
Dai, Huitang
Qiu, Lin
Yu, Haiyan
Ha, Denglong
Zhao, Haiyan
Zhang, Zhixiang
Lin, Shanzhi
Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title_full Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title_fullStr Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title_full_unstemmed Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title_short Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
title_sort selection of reference genes for gene expression studies in siberian apricot (prunus sibirica l.) germplasm using quantitative real-time pcr
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126684/
https://www.ncbi.nlm.nih.gov/pubmed/25105495
http://dx.doi.org/10.1371/journal.pone.0103900
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