Long Xiangyu, He Bin, Gao Xinsheng, Qin Yunxia, Yang Jianghua, Fang Yongjun, Qi Jiyan, Tang Chaorong
Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, Hainan 571737, PR China.
Key Laboratory of Biology and Genetic Resources of Rubber Tree, Ministry of Agriculture, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, Hainan 571737, PR China; College of Agronomy, Hainan University, Haikou, Hainan 570228, PR China.
Gene. 2015 Jun 1;563(2):190-5. doi: 10.1016/j.gene.2015.03.026. Epub 2015 Mar 16.
In rubber tree, latex regeneration is one of the decisive factors influencing the rubber yield, although its molecular regulation is not well known. Quantitative real-time PCR (qPCR) is a popular and powerful tool used to understand the molecular mechanisms of latex regeneration. However, the suitable reference genes required for qPCR are not available to investigate the expressions of target genes during latex regeneration. In this study, 20 candidate reference genes were selected and evaluated for their expression stability across the samples during the process of latex regeneration. All reference genes showed a relatively wide range of the threshold cycle values, and their stability was validated by four different algorithms (comparative delta Ct method, Bestkeeper, NormFinder and GeNorm). Three softwares (comparative delta Ct method, NormFinder and GeNorm) exported similar results that identify UBC4, ADF, UBC2a, eIF2 and ADF4 as the top five suitable references, and 18S as the least suitable one. The application of the screened references would improve accuracy and reliability of gene expression analysis in latex regeneration experiments.
在橡胶树中,胶乳再生是影响橡胶产量的决定性因素之一,尽管其分子调控机制尚不清楚。定量实时PCR(qPCR)是一种常用且强大的工具,用于了解胶乳再生的分子机制。然而,在研究胶乳再生过程中目标基因的表达时,qPCR所需的合适内参基因尚不可用。在本研究中,选择了20个候选内参基因,并评估了它们在胶乳再生过程中跨样本的表达稳定性。所有内参基因的阈值循环值范围相对较宽,其稳定性通过四种不同算法(比较ΔCt法、Bestkeeper、NormFinder和GeNorm)进行了验证。三种软件(比较ΔCt法、NormFinder和GeNorm)得出了相似的结果,确定UBC4、ADF、UBC2a、eIF2和ADF4为最适合的前五个内参基因,而18S是最不适合的一个。筛选出的内参基因的应用将提高胶乳再生实验中基因表达分析的准确性和可靠性。