Pathogenicity Genes in Ustilaginoidea virens Revealed by a PredictedProtein-Protein Interaction Network.
Pathogenicity Genes in Ustilaginoidea virens Revealed by a PredictedProtein-Protein Interaction Network.
复制标题
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
复制
发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Wenxian Sun
中科院分区:
文献类型:
--
作者:
Kang Zhang;Yuejiao Li;Tengjiao Li;Zhi-Gang Li;Tom Hsiang;Ziding Zhang;Wenxian Sun
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.