Pathogenicity Genes in Ustilaginoidea virens Revealed by a PredictedProtein-Protein Interaction Network.

Pathogenicity Genes in Ustilaginoidea virens Revealed by a PredictedProtein-Protein Interaction Network.
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预测的蛋白质-蛋白质相互作用网络揭示了黑粉菌的致病基因。

DOI:
10.1021/acs.jproteome.6b00720
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发表时间:
2017
期刊:
J Proteome Res.
影响因子:
--
通讯作者:
Wenxian Sun
Wenxian Sun
中科院分区:
其他
文献类型:
--
作者:
Kang Zhang;Yuejiao Li;Tengjiao Li;Zhi-Gang Li;Tom Hsiang;Ziding Zhang;Wenxian Sun

文献摘要

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水稻稻曲病是由黑粉菌引起的,对水稻产量和谷物品质造成重大损失,最近已成为世界范围内最重要的水稻病害之一。尽管它在水稻生产中很重要,但很少有研究来说明复杂的相互作用组和致病基因相互作用。这里是 U 的蛋白质-蛋白质相互作用网络。 virens 是通过两种广为人知的方法构建的:基于交互的方法和基于域间交互的方法。经过严格过滤后,总共预测了与 3305 个蛋白质相关的 20217 个相互作用。通过计算和实验评估网络的可靠性。相互作用组网络的拓扑结构揭示了高度连接的蛋白质。涉及早期U期间上调基因的致病性相关子网络。还构建了virensinfection,并在子网络中预测了许多新的致病蛋白。此外,我们在U之间建立了一个跨物种PPI网络。 virensandOryza sativa,为这种宿主-病原体病理系统的分子相互作用提供了新的见解。基于这些交互网络的基于网络的公开交互数据库也已发布。总之,我们描述了 PPI 网络的蛋白质组规模图。 virens,这将为精细剖析与其致病性相关的基因相互作用提供新的视角。
Rice false smut, caused byUstilaginoidea virens, produces significant losses in rice yield and grain quality and has recently emerged as one of the most important rice diseases worldwide. Despite its importance in rice production, relatively few studies have been conducted to illustrate the complex interactome and the pathogenicity gene interactions. Here a protein–protein interaction network ofU. virenswas built through two well-recognized approaches, interolog- and domain–domain interaction-based methods. A total of 20 217 interactions associated with 3305 proteins were predicted after strict filtering. The reliability of the network was assessed computationally and experimentally. The topology of the interactome network revealed highly connected proteins. A pathogenicity-related subnetwork involving up-regulated genes during earlyU. virensinfection was also constructed, and many novel pathogenicity proteins were predicted in the subnetwork. In addition, we built an interspecies PPI network betweenU. virensandOryza sativa, providing new insights for molecular interactions of this host–pathogen pathosystem. A web-based publicly available interactive database based on these interaction networks has also been released. In summary, a proteome-scale map of the PPI network was described forU. virens, which will provide new perspectives for finely dissecting interactions of genes related to its pathogenicity.