Stare Tjaša, Stare Katja, Weckwerth Wolfram, Wienkoop Stefanie, Gruden Kristina
Department of Biotechnology and Systems Biology, National Institute of Biology, 1000 Ljubljana, Slovenia.
Department of Ecogenomics and Systems Biology, Faculty of Life Sciences, University of Vienna, 1010 Wien, Austria.
Proteomes. 2017 Jul 6;5(3):14. doi: 10.3390/proteomes5030014.
Plant diseases caused by viral infection are affecting all major crops. Being an obligate intracellular organisms, chemical control of these pathogens is so far not applied in the field except to control the insect vectors of the viruses. Understanding of molecular responses of plant immunity is therefore economically important, guiding the enforcement of crop resistance. To disentangle complex regulatory mechanisms of the plant immune responses, understanding system as a whole is a must. However, integrating data from different molecular analysis (transcriptomics, proteomics, metabolomics, smallRNA regulation etc.) is not straightforward. We evaluated the response of potato ( L.) following the infection with potato virus Y (PVY). The response has been analyzed on two molecular levels, with microarray transcriptome analysis and mass spectroscopy-based proteomics. Within this report, we performed detailed analysis of the results on both levels and compared two different approaches for analysis of proteomic data (spectral count versus MaxQuant). To link the data on different molecular levels, each protein was mapped to the corresponding potato transcript according to StNIB paralogue grouping. Only 33% of the proteins mapped to microarray probes in a one-to-one relation and additionally many showed discordance in detected levels of proteins with corresponding transcripts. We discussed functional importance of true biological differences between both levels and showed that the reason for the discordance between transcript and protein abundance lies partly in complexity and structure of biological regulation of proteome and transcriptome and partly in technical issues contributing to it.
由病毒感染引起的植物病害正在影响所有主要作物。作为专性细胞内生物,目前除了控制病毒的昆虫传播媒介外,尚未在田间应用针对这些病原体的化学防治方法。因此,了解植物免疫的分子反应在经济上具有重要意义,可为增强作物抗性提供指导。为了理清植物免疫反应的复杂调控机制,必须从整体上理解该系统。然而,整合来自不同分子分析(转录组学、蛋白质组学、代谢组学、小RNA调控等)的数据并非易事。我们评估了马铃薯(L.)感染马铃薯Y病毒(PVY)后的反应。已在两个分子水平上对该反应进行了分析,即通过微阵列转录组分析和基于质谱的蛋白质组学。在本报告中,我们对两个水平的结果进行了详细分析,并比较了两种不同的蛋白质组学数据分析方法(光谱计数法与MaxQuant法)。为了将不同分子水平的数据联系起来,根据StNIB旁系同源物分组将每种蛋白质映射到相应的马铃薯转录本上。只有33%的蛋白质与微阵列探针呈一对一关系映射,此外,许多蛋白质在检测水平上与相应转录本存在不一致。我们讨论了两个水平之间真正生物学差异的功能重要性,并表明转录本丰度与蛋白质丰度不一致的部分原因在于蛋白质组和转录组生物调控的复杂性和结构,部分原因在于导致这种情况的技术问题。