Tightly regulated expression of Autographa californica multicapsid nucleopolyhedrovirus immediate early genes emerges from their interactions and possible collective behaviors.
Tightly regulated expression of Autographa californica multicapsid nucleopolyhedrovirus immediate early genes emerges from their interactions and possible collective behaviors.
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DOI：
10.1371/journal.pone.0119580
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Bando H
中科院分区：
文献类型：
--
作者：
Ono C;Sato M;Taka H;Asano S;Matsuura Y;Bando H
为了感染宿主，DNA病毒必须成功地启动病毒基因的表达，这些基因控制着随后的病毒基因表达，并操纵宿主环境。感染后立即表达的病毒基因在早期感染过程中发挥着关键作用。在本研究中，我们研究了银纹夜蛾核型多角体病毒5个规范调控基因IE0、IE1、IE2、me53和PE38的表达和调控。系统的瞬时基因表达分析表明，这些IE基因通常是反式激活因子，这表明存在一个高度互动的调控网络。利用基因敲除病毒进行的遗传分析表明，在感染早期，这些IE基因的表达对激活IE基因的单一缺失具有耐受性。对瞬时表达分析中观察到的调控关系的网络图分析表明，IE基因表达的稳健性是由于IE基因调控网络的组织和每个IE基因是如何被激活的。然而，遗传分析检测到的一些调控关系与瞬时表达分析中观察到的调控关系相矛盾，特别是IE0介导的调控。统计模型结合ie0和ie1基因敲除等位基因的遗传分析表明，ie0的阻遏功能是由ie0和ie1之间的相互作用造成的，而不是ie0本身。综上所述，这些系统的方法提供了对IE基因调控网络的拓扑结构和性质的洞察。
To infect their hosts, DNA viruses must successfully initiate the expression of viral genes that control subsequent viral gene expression and manipulate the host environment. Viral genes that are immediately expressed upon infection play critical roles in the early infection process. In this study, we investigated the expression and regulation of five canonical regulatory immediate-early (IE) genes of Autographa californica multicapsid nucleopolyhedrovirus: ie0, ie1, ie2, me53, and pe38. A systematic transient gene-expression analysis revealed that these IE genes are generally transactivators, suggesting the existence of a highly interactive regulatory network. A genetic analysis using gene knockout viruses demonstrated that the expression of these IE genes was tolerant to the single deletions of activator IE genes in the early stage of infection. A network graph analysis on the regulatory relationships observed in the transient expression analysis suggested that the robustness of IE gene expression is due to the organization of the IE gene regulatory network and how each IE gene is activated. However, some regulatory relationships detected by the genetic analysis were contradictory to those observed in the transient expression analysis, especially for IE0-mediated regulation. Statistical modeling, combined with genetic analysis using knockout alleles for ie0 and ie1, showed that the repressor function of ie0 was due to the interaction between ie0 and ie1, not ie0 itself. Taken together, these systematic approaches provided insight into the topology and nature of the IE gene regulatory network.
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