USDA/ARS, Plant Sciences Institute, Molecular Plant Pathology Laboratory, Beltsville, MD 20705, USA.
Virol J. 2012 May 29;9:101. doi: 10.1186/1743-422X-9-101.
At the moment, there are a number of publications describing gene expression profiling in virus-infected plants. Most of the data are limited to specific host-pathogen interactions involving a given virus and a model host plant - usually Arabidopsis thaliana. Even though several summarizing attempts have been made, a general picture of gene expression changes in susceptible virus-host interactions is lacking.
To analyze transcriptome response to virus infection, we have assembled currently available microarray data on changes in gene expression levels in compatible Arabidopsis-virus interactions. We used the mean r (Pearson's correlation coefficient) for neighboring pairs to estimate pairwise local similarity in expression in the Arabidopsis genome.
Here we provide a functional classification of genes with altered expression levels. We also demonstrate that responsive genes may be grouped or clustered based on their co-expression pattern and chromosomal location.
In summary, we found that there is a greater variety of upregulated genes in the course of viral pathogenesis as compared to repressed genes. Distribution of the responsive genes in combined viral databases differed from that of the whole Arabidopsis genome, thus underlining a role of the specific biological processes in common mechanisms of general resistance against viruses and in physiological/cellular changes caused by infection. Using integrative platforms for the analysis of gene expression data and functional profiling, we identified overrepresented functional groups among activated and repressed genes. Each virus-host interaction is unique in terms of the genes with altered expression levels and the number of shared genes affected by all viruses is very limited. At the same time, common genes can participate in virus-, fungi- and bacteria-host interaction. According to our data, non-homologous genes that are located in close proximity to each other on the chromosomes, and whose expression profiles are modified as a result of the viral infection, occupy 12% of the genome. Among them 5% form co-expressed and co-regulated clusters.
目前有许多出版物描述了感染病毒的植物中的基因表达谱。大多数数据仅限于特定的宿主-病原体相互作用,涉及特定的病毒和模式宿主植物 - 通常是拟南芥。尽管已经进行了几次总结尝试,但仍缺乏对易感病毒-宿主相互作用中基因表达变化的总体了解。
为了分析病毒感染的转录组反应,我们组装了目前关于在相容的拟南芥-病毒相互作用中基因表达水平变化的微阵列数据。我们使用相邻对的平均 r(皮尔逊相关系数)来估计拟南芥基因组中表达的成对局部相似性。
在这里,我们提供了具有改变表达水平的基因的功能分类。我们还证明,响应基因可以根据它们的共表达模式和染色体位置进行分组或聚类。
总之,我们发现病毒发病过程中上调基因的种类比抑制基因更多。响应基因在组合病毒数据库中的分布与整个拟南芥基因组的分布不同,这突出了特定生物学过程在普遍抗病毒抗性的共同机制以及由感染引起的生理/细胞变化中的作用。使用综合平台分析基因表达数据和功能谱,我们在激活和抑制基因中确定了代表性的功能组。每个病毒-宿主相互作用在改变表达水平的基因和受所有病毒影响的共享基因数量方面都是独特的。同时,共同的基因可以参与病毒、真菌和细菌-宿主相互作用。根据我们的数据,位于染色体上彼此靠近的非同源基因,其表达谱因病毒感染而改变,占据了基因组的 12%。其中 5%形成共表达和共调控的聚类。