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拟南芥免疫中激素的网络综合系统观点揭示了细胞分裂素的多种相互作用。

Integrated systems view on networking by hormones in Arabidopsis immunity reveals multiple crosstalk for cytokinin.

机构信息

Department of Bioinformatics, Biocenter, D-97074 Wuerzburg, Germany.

出版信息

Plant Cell. 2012 May;24(5):1793-814. doi: 10.1105/tpc.112.098335. Epub 2012 May 29.

Abstract

Phytohormones signal and combine to maintain the physiological equilibrium in the plant. Pathogens enhance host susceptibility by modulating the hormonal balance of the plant cell. Unlike other plant hormones, the detailed role of cytokinin in plant immunity remains to be fully elucidated. Here, extensive data mining, including of pathogenicity factors, host regulatory proteins, enzymes of hormone biosynthesis, and signaling components, established an integrated signaling network of 105 nodes and 163 edges. Dynamic modeling and system analysis identified multiple cytokinin-mediated regulatory interactions in plant disease networks. This includes specific synergism between cytokinin and salicylic acid pathways and previously undiscovered aspects of antagonism between cytokinin and auxin in plant immunity. Predicted interactions and hormonal effects on plant immunity are confirmed in subsequent experiments with Pseudomonas syringae pv tomato DC3000 and Arabidopsis thaliana. Our dynamic simulation is instrumental in predicting system effects of individual components in complex hormone disease networks and synergism or antagonism between pathways.

摘要

植物激素信号传递并协同作用,以维持植物的生理平衡。病原体通过调节植物细胞的激素平衡来增强宿主的易感性。与其他植物激素不同,细胞分裂素在植物免疫中的详细作用仍有待充分阐明。在这里,通过广泛的数据挖掘,包括致病性因子、宿主调节蛋白、激素生物合成酶和信号转导成分,建立了一个包含 105 个节点和 163 条边的综合信号网络。动态建模和系统分析确定了植物疾病网络中多个细胞分裂素介导的调节相互作用。这包括细胞分裂素和水杨酸途径之间的特定协同作用,以及细胞分裂素和生长素在植物免疫中以前未发现的拮抗作用。对拟南芥和番茄丁香假单胞菌 pv DC3000 的后续实验证实了预测的相互作用和对植物免疫的激素影响。我们的动态模拟有助于预测复杂激素疾病网络中单个成分的系统效应,以及途径之间的协同作用或拮抗作用。

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