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Extensive signal integration by the phytohormone protein network

机译：植物激素群落网络广泛的信号集成

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摘要

Plant hormones coordinate responses to environmental cues with developmental programs(1), and are fundamental for stress resilience and agronomic yield(2). The core signalling pathways underlying the effects of phytohormones have been elucidated by genetic screens and hypothesis-driven approaches, and extended by interactome studies of select pathways(3). However, fundamental questions remain about how information from different pathways is integrated. Genetically, most phenotypes seem to be regulated by several hormones, but transcriptional profiling suggests that hormones trigger largely exclusive transcriptional programs(4). We hypothesized that protein-protein interactions have an important role in phytohormone signal integration. Here, we experimentally generated a systems-level map of the Arabidopsis phytohormone signalling network, consisting of more than 2,000 binary protein-protein interactions. In the highly interconnected network, we identify pathway communities and hundreds of previously unknown pathway contacts that represent potential points of crosstalk. Functional validation of candidates in seven hormone pathways reveals new functions for 74% of tested proteins in 84% of candidate interactions, and indicates that a large majority of signalling proteins function pleiotropically in several pathways. Moreover, we identify several hundred largely small-molecule-dependent interactions of hormone receptors. Comparison with previous reports suggests that noncanonical and nontranscription-mediated receptor signalling is more common than hitherto appreciated.
机译：植物激素与发展方案（1）的环境提示协调对环境提示的响应，并对压力弹性和农艺产量的基础（2）。植物激素效应的核心信号传导途径已被遗传筛和假设驱动的方法阐明，并通过选择途径的互乱部分（3）延伸。但是，关于如何集成不同途径的信息，仍然存在基本问题。遗传上，大多数表型似乎受到几种激素的调节，但转录的分析表明激素触发了很大程度上是独家转录程序（4）。我们假设蛋白质 - 蛋白质相互作用在植物激素信号集成中具有重要作用。在这里，我们通过实验生成了拟南芥植物激素信号通信网络的系统级图，由2,000多个二元蛋白质相互作用组成。在高度互连的网络中，我们识别衔接社区和数百个以前未知的通路触点，其代表串扰的潜在点。七种激素途径中候选者的功能验证揭示了74％的测试蛋白质中的新功能，以84％的候选相互作用，并表明大多数信号蛋白在几种途径中渗透术语。此外，我们鉴定了血液受体的几百个主要小分子依赖性相互作用。与先前的报道的比较表明，非甘露吞并和非识别介导的受体信号传导比迄今为止更常见。

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  • 来源
    《Nature》 |2020年第7815期|271-276|共6页
  • 作者

    Altmann Melina; Altmann Stefan; Rodriguez Patricia A.; Weller Benjamin; Vergara Lena Elorduy; Palme Julius; de la Rosa Nora; Sauer Mayra; Wenig Marion; Villaecija-Aguilar Jose Antonio; Sales Jennifer; Lin Chung-Wen; Pandiarajan Ramakrishnan; Young Veronika; Strobel Alexandra; Gross Lisa; Carbonnel Samy; Kugler Karl G.; Garcia-Molina Antoni; Bassel George W.; Falter Claudia; Mayer Klaus F. X.; Gutjahr Caroline; Vlot A. Corina; Grill Erwin; Falter-Braun Pascal;

  • 作者单位

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany|Harvard Med Sch Dept Genet Boston MA 02115 USA;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Biochem Plant Pathol BIOP Inducible Resistance Signaling Grp Munich Germany;

    Tech Univ Munich TUM Plant Genet TUM Sch Life Sci Freising Weihenstephan Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Biochem Plant Pathol BIOP Inducible Resistance Signaling Grp Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Tech Univ Munich TUM TUM Sch Life Sci Bot Freising Weihenstephan Germany;

    Ludwig Maximilians Univ LMU Munchen Fac Biol Genet Planegg Martinsried Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Plant Genome & Syst Biol PGSB Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany|Ludwig Maximilians Univ LMU Munchen Fac Biol Plant Mol Biol Planegg Martinsried Germany;

    Univ Birmingham Sch Biosci Birmingham W Midlands England;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Plant Genome & Syst Biol PGSB Munich Germany|Tech Univ Munich TUM TUM Sch Life Sci Freising Weihenstephan Germany;

    Tech Univ Munich TUM Plant Genet TUM Sch Life Sci Freising Weihenstephan Germany|Ludwig Maximilians Univ LMU Munchen Fac Biol Genet Planegg Martinsried Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Biochem Plant Pathol BIOP Inducible Resistance Signaling Grp Munich Germany;

    Tech Univ Munich TUM TUM Sch Life Sci Bot Freising Weihenstephan Germany;

    Helmholtz Ctr Munich German Res Ctr Environm Hlth Inst Network Biol INET Munich Germany|Ludwig Maximilians Univ LMU Munchen Fac Biol Microbe Host Interact Planegg Martinsried Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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