Using Network Extracted Ontologies to Identify Novel Genes with Roles in Appressorium Development in the Rice Blast Fungus Magnaporthe oryzae.
Using Network Extracted Ontologies to Identify Novel Genes with Roles in Appressorium Development in the Rice Blast Fungus Magnaporthe oryzae.
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DOI：
10.3390/microorganisms5010003
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发表时间：
2017-01-17
期刊：
影响因子：
4.5
通讯作者：
Ames RM
中科院分区：
文献类型：
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作者：
Ames RM
稻瘟病菌是水稻稻瘟病的病原菌，是世界上最重要的水稻病害。世界上有一半的人口依靠大米获取主要热量，因此，稻瘟病对粮食安全构成严重威胁。M.真菌感染是很好定义的，形成附着胞，一种允许穿透植物角质层的细胞类型，特别是研究得很好。然而，许多关键途径和基因参与这一疾病阶段尚未确定。在这项研究中，我使用了网络提取的本体（NeXO），从RNA-Seq数据推断的层次结构，以确定参与附着胞发育的途径，这反过来又突出了在这一过程中具有潜在作用的新基因。这项研究说明了使用NeXO从大规模基因组学数据中识别途径，并确定了在疾病中具有潜在作用的新基因。这里提出的方法将是有用的研究疾病的过程中，其他致病性物种和这些数据代表的预测新的目标干预M。米。
Magnaporthe oryzae is the causal agent of rice blast disease, the most important infection of rice worldwide. Half the world’s population depends on rice for its primary caloric intake and, as such, rice blast poses a serious threat to food security. The stages of M. oryzae infection are well defined, with the formation of an appressorium, a cell type that allows penetration of the plant cuticle, particularly well studied. However, many of the key pathways and genes involved in this disease stage are yet to be identified. In this study, I have used network-extracted ontologies (NeXOs), hierarchical structures inferred from RNA-Seq data, to identify pathways involved in appressorium development, which in turn highlights novel genes with potential roles in this process. This study illustrates the use of NeXOs for pathway identification from large-scale genomics data and also identifies novel genes with potential roles in disease. The methods presented here will be useful to study disease processes in other pathogenic species and these data represent predictions of novel targets for intervention in M. oryzae.