Müller Oliver A, Grau Jan, Thieme Sabine, Prochaska Heike, Adlung Norman, Sorgatz Anika, Bonas Ulla
Institute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Institute for Informatics, Department of Bioinformatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
PLoS One. 2015 Aug 27;10(8):e0136499. doi: 10.1371/journal.pone.0136499. eCollection 2015.
The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the plant transcriptome. Quantitative RT-PCR (qRT-PCR) is usually the method of choice to analyze transcriptional changes of selected plant genes. Reliable results depend, however, on measuring stably expressed reference genes that serve as internal normalization controls. We identified the most stably expressed tomato genes based on microarray analyses of Xcv-infected tomato leaves and evaluated the reliability of 11 genes for qRT-PCR studies in comparison to four traditionally employed reference genes. Three different statistical algorithms, geNorm, NormFinder and BestKeeper, concordantly determined the superiority of the newly identified reference genes. The most suitable reference genes encode proteins with homology to PHD finger family proteins and the U6 snRNA-associated protein LSm7. In addition, we identified pepper orthologs and validated several genes as reliable normalization controls for qRT-PCR analysis of Xcv-infected pepper plants. The newly identified reference genes will be beneficial for future qRT-PCR studies of the Xcv-tomato and Xcv-pepper pathosystems, as well as for the identification of suitable normalization controls for qRT-PCR studies of other plant-pathogen interactions, especially, if related plant species are used in combination with bacterial pathogens.
革兰氏阴性细菌野油菜黄单胞菌辣椒斑点致病变种(Xcv)通过将III型效应蛋白直接转运到植物细胞胞质溶胶中,引发辣椒和番茄的细菌性斑点病。效应蛋白一旦进入植物细胞,就会干扰宿主细胞进程并操纵植物转录组。定量逆转录聚合酶链反应(qRT-PCR)通常是分析所选植物基因转录变化的首选方法。然而,可靠的结果取决于测量作为内部标准化对照的稳定表达的参考基因。我们基于对感染Xcv的番茄叶片的微阵列分析,鉴定出最稳定表达的番茄基因,并与四个传统使用的参考基因相比,评估了11个基因用于qRT-PCR研究的可靠性。三种不同的统计算法,即geNorm、NormFinder和BestKeeper,一致确定了新鉴定的参考基因的优越性。最合适的参考基因编码与PHD指家族蛋白和U6 snRNA相关蛋白LSm7具有同源性的蛋白质。此外,我们鉴定出辣椒直系同源基因,并验证了几个基因作为感染Xcv的辣椒植株qRT-PCR分析的可靠标准化对照。新鉴定的参考基因将有利于未来对Xcv-番茄和Xcv-辣椒病理系统的qRT-PCR研究,以及为其他植物-病原体相互作用的qRT-PCR研究鉴定合适的标准化对照,特别是当相关植物物种与细菌病原体联合使用时。