论文
论文标题: Prediction of GCRV virus-host protein interactome based on structural motif-domain interactions
作者: Zhang, Aidi; He, Libo; Wang, Yaping
出版刊物: BMC BIOINFORMATICS
出版日期: MAR 2
出版年份: 2017
卷/期:
DOI: 10.1186/s12859-017-1500-8
论文摘要: Background: Grass carp hemorrhagic disease, caused by grass carp reovirus (GCRV), is the most fatal causative agent in grass carp aquaculture. Protein-protein interactions between virus and host are one avenue through which GCRV can trigger infection and induce disease. Experimental approaches for the detection of host-virus interactome have many inherent limitations, and studies on protein-protein interactions between GCRV and its host remain rare. Results: In this study, based on known motif-domain interaction information, we systematically predicted the GCRV virus-host protein interactome by using motif-domain interaction pair searching strategy. These proteins derived from different domain families and were predicted to interact with different motif patterns in GCRV. JAM-A protein was successfully predicted to interact with motifs of GCRV Sigma1-like protein, and shared the similar binding mode compared with orthoreovirus. Differentially expressed genes during GCRV infection process were extracted and mapped to our predicted interactome, the overlapped genes displayed different tissue expression distributions on the whole, the overall expression level in intestinal is higher than that of other three tissues, which may suggest that the functions of these genes are more active in intestinal. Function annotation and pathway enrichment analysis revealed that the host targets were largely involved in signaling pathway and immune pathway, such as interferon-gamma signaling pathway, VEGF signaling pathway, EGF receptor signaling pathway, B cell activation, and T cell activation. Conclusions: Although the predicted PPIs may contain some false positives due to limited data resource and poor research background in non-model species, the computational method still provide reasonable amount of interactions, which can be further validated by high throughput experiments. The findings of this work will contribute to the development of system biology for GCRV infectious diseases, and help guide the identification of novel receptors of GCRV in its host.
== 实验室与学会 ==
  • == 实验室与学会 ==
  • 淡水生态与生物技术国家重点实验室
  • 中国科学院藻类生物学重点实验室
  • 农业部淡水养殖病害防治重点实验室
  • 武汉白暨豚保护基金会
  • 湖北省海洋湖沼学会
  • 中国动物学会原生动物学分会
  • 中国动物学会斑马鱼分会
  • 湖北省暨武汉动物学会
  • 中国水产学会鱼病学专业委员会
  • 中国鱼类学会
== 平台建设 ==
  • == 平台建设 ==
  • “一带一路”海域赤潮数据库
  • 国家水生生物种质资源库
  • 国家斑马鱼资源中心
  • 中国科学院淡水藻种库
  • 中国科学院武汉生命科学大型仪器区域中心
  • 湿地生态系统观测研究野外站联盟
  • 中国科学院水生生物研究所分析测试中心
  • 中国科学院超级计算武汉分中心
  • 水生生物博物馆
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  • 中国科学院
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  • 中国科学院武汉分院
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  • 湖北省生态环境厅
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