详细信息
Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR ( SCI-EXPANDED收录) 被引量:28
文献类型:期刊文献
英文题名:Selection of Reference Genes for Gene Expression Studies in Siberian Apricot (Prunus sibirica L.) Germplasm Using Quantitative Real-Time PCR
作者:Niu, Jun[1] Zhu, Baoqing[1] Cai, Jian[1] Li, Peixue[2] Wang, Libing[3] Dai, Huitang[2] Qiu, Lin[2] Yu, Haiyan[3] Ha, Denglong[2] Zhao, Haiyan[2] Zhang, Zhixiang[1] Lin, Shanzhi[1]
第一作者:Niu, Jun
通信作者:Lin, SZ[1]
机构:[1]Beijing Forestry Univ, Minist Educ, Coll Nat Conservat,Coll Biol Sci & Biotechnol, Natl Engn Lab Tree Breeding,Key Lab Genet & Breed, Beijing, Peoples R China;[2]Jigongshan Natl Nat Reserve, Xingyang, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, Beijing, Peoples R China
年份:2014
卷号:9
期号:8
外文期刊名:PLOS ONE
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000343231900028)】;
基金:This research was supported by the National Natural Sciences Foundation of China (No. J1103516), the Central Public-Interest Scientific Institution Basal Research Fund (RIF2013-02) (No. 201004001) and the Chinese Key Technology Research and Development Program of Twelfth Five-Year Plan (No. 2011BAD22B08). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
语种:英文
摘要: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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