In the last two decades, advances in network science have facilitated the discovery of important systems' entities in diverse biological networks. This graph-based technique has revealed numerous emergent properties of a system that enable us to understand several complex biological processes including plant immune systems. With the accumulation of multiomics data sets, the comprehensive understanding of plant-pathogen interactions can be achieved through the analyses and efficacious integration of multidimensional qualitative and quantitative relationships among the components of hosts and their microbes. This review highlights comparative network topology analyses in plant-pathogen co-expression networks and interactomes, outlines dynamic network modeling for cell-specific immune regulatory networks, and discusses the new frontiers of single-cell sequencing as well as multiomics data integration that are necessary for unraveling the intricacies of plant immune systems.

中文翻译：

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网络生物学揭示植物免疫系统的功能和结构特性。

在过去的二十年中，网络科学的进步促进了在不同生物网络中发现重要系统实体的过程。这种基于图形的技术揭示了一个系统的许多新兴特性，使我们能够理解包括植物免疫系统在内的几个复杂的生物过程。随着多组学数据集的积累，通过分析和有效整合宿主及其微生物成分之间的多维定性和定量关系，可以全面了解植物-病原体相互作用。这篇综述重点介绍了植物病原体共表达网络和相互作用组中的比较网络拓扑分析，概述了细胞特异性免疫调节网络的动态网络建模，