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高度缓冲的拟南芥免疫信号网络掩盖了其组成部分的功能。

The highly buffered Arabidopsis immune signaling network conceals the functions of its components.

作者信息

Hillmer Rachel A, Tsuda Kenichi, Rallapalli Ghanasyam, Asai Shuta, Truman William, Papke Matthew D, Sakakibara Hitoshi, Jones Jonathan D G, Myers Chad L, Katagiri Fumiaki

机构信息

Department of Plant and Microbial Biology, Microbial and Plant Genomics Institute, University of Minnesota, Twin-Cities, Saint Paul, Minnesota, United States of America.

Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.

出版信息

PLoS Genet. 2017 May 4;13(5):e1006639. doi: 10.1371/journal.pgen.1006639. eCollection 2017 May.

Abstract

Plant immunity protects plants from numerous potentially pathogenic microbes. The biological network that controls plant inducible immunity must function effectively even when network components are targeted and disabled by pathogen effectors. Network buffering could confer this resilience by allowing different parts of the network to compensate for loss of one another's functions. Networks rich in buffering rely on interactions within the network, but these mechanisms are difficult to study by simple genetic means. Through a network reconstitution strategy, in which we disassemble and stepwise reassemble the plant immune network that mediates Pattern-Triggered-Immunity, we have resolved systems-level regulatory mechanisms underlying the Arabidopsis transcriptome response to the immune stimulant flagellin-22 (flg22). These mechanisms show widespread evidence of interactions among major sub-networks-we call these sectors-in the flg22-responsive transcriptome. Many of these interactions result in network buffering. Resolved regulatory mechanisms show unexpected patterns for how the jasmonate (JA), ethylene (ET), phytoalexin-deficient 4 (PAD4), and salicylate (SA) signaling sectors control the transcriptional response to flg22. We demonstrate that many of the regulatory mechanisms we resolved are not detectable by the traditional genetic approach of single-gene null-mutant analysis. Similar to potential pathogenic perturbations, null-mutant effects on immune signaling can be buffered by the network.

摘要

植物免疫系统保护植物免受众多潜在致病微生物的侵害。即使网络组件被病原体效应子靶向并失活,控制植物诱导免疫的生物网络也必须有效发挥作用。网络缓冲可通过允许网络的不同部分相互补偿彼此功能的丧失来赋予这种恢复力。富含缓冲的网络依赖于网络内的相互作用,但这些机制很难通过简单的遗传学方法进行研究。通过一种网络重构策略,我们拆解并逐步重新组装介导模式触发免疫的植物免疫网络,从而解析了拟南芥转录组对免疫刺激物鞭毛蛋白22(flg22)反应的系统水平调控机制。这些机制在flg22反应性转录组中的主要子网络(我们称之为扇区)之间广泛存在相互作用的证据。其中许多相互作用导致网络缓冲。解析出的调控机制显示了茉莉酸(JA)、乙烯(ET)、植物抗毒素缺陷4(PAD4)和水杨酸(SA)信号扇区控制对flg22转录反应的意外模式。我们证明,我们解析出的许多调控机制无法通过单基因敲除突变分析的传统遗传学方法检测到。与潜在的致病干扰类似,网络可以缓冲敲除突变对免疫信号的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8407/5417422/a48a8663bd68/pgen.1006639.g001.jpg

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