文献类型：期刊文献

英文题名：Identification of appropriate reference genes for normalizing transcript expression by quantitative real-time PCR in Litsea cubeba

作者：Lin, Liyuan[1,2] Han, Xiaojiao[1,2] Chen, Yicun[1,2] Wu, Qingke[1,2] Wang, Yangdong[1,2]

通信作者：Wang, YD[1]|[a0005f34f1ecf07bb8f24]汪阳东;

机构：[1]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Res Inst Subtrop Forestry, Hangzhou 311400, Zhejiang, Peoples R China

年份：2013

卷号：288

期号：12

起止页码：727-737

外文期刊名：MOLECULAR GENETICS AND GENOMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000328091100007)】；

基金：The study was financially supported by National Natural Science Foundation of China (31370576).

语种：英文

外文关键词：Quantitative real-time PCR; Reference genes; Litsea cubeba; Gene expression

摘要：of two stable reference genes would be sufficient for gene expression normalization in different fruit developmental stages. In addition, the relative expression profiles of DXS and DXR were evaluated by EF1 alpha, UBC, and SAMDC. The results further validated the reliability of stable reference genes and also highlighted the importance of selecting suitable internal controls for L. cubeba. These reference genes will be of great importance for transcript normalization in future gene expression studies on L. cubeba. Quantitative real-time PCR has emerged as a highly sensitive and widely used method for detection of gene expression profiles, via which accurate detection depends on reliable normalization. Since no single control is appropriate for all experimental treatments, it is generally advocated to select suitable internal controls prior to use for normalization. This study reported the evaluation of the expression stability of twelve potential reference genes in different tissue/organs and six fruit developmental stages of Litsea cubeba in order to screen the superior internal reference genes for data normalization. Two softwares-geNorm, and NormFinder-were used to identify stability of these candidate genes. The cycle threshold difference and coefficient of variance were also calculated to evaluate the expression stability of candidate genes. F-BOX, EF1a, UBC, and TUA were selected as the most stable reference genes across 11 sample pools. F-BOX, EF1a, and EIF4 alpha exhibited the highest expression stability in different tissue/organs and different fruit developmental stages.