Extensive signal integration by the phytohormone protein network
| Autor: | Claudia Falter, A. Corina Vlot, Stefan Altmann, Antoni Garcia-Molina, Ramakrishnan Pandiarajan, Karl G. Kugler, Mayra Sauer, Samy Carbonnel, George W. Bassel, Erwin Grill, Nora Marín-de la Rosa, Jennifer Sales, Alexandra Strobel, Marion Wenig, Benjamin Weller, José Antonio Villaécija-Aguilar, Lena Elorduy Vergara, Melina Altmann, Caroline Gutjahr, Lisa Gross, Klaus F. X. Mayer, Pascal Falter-Braun, Patricia A. Rodriguez, Julius Palme, Chung Wen Lin, Veronika Young |
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| Jazyk: | angličtina |
| Předmět: |
0106 biological sciences
0301 basic medicine Transcription Genetic Arabidopsis Computational biology Biology 01 natural sciences Interactome 03 medical and health sciences Plant Growth Regulators Protein Interaction Mapping Protein Interaction Maps SB Multidisciplinary Arabidopsis Proteins QK Reproducibility of Results biology.organism_classification Phenotype Crosstalk (biology) 030104 developmental biology Signalling Hormone receptor Signal transduction 010606 plant biology & botany Genetic screen Protein Binding Signal Transduction |
| Zdroj: | Nature |
| ISSN: | 1476-4687 0028-0836 |
| DOI: | 10.1038/s41586-020-2460-0 |
| Popis: | Plant hormones coordinate responses to environmental cues with developmental programs1, and are fundamental for stress resilience and agronomic yield2. 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 pathways3. 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 programs4. 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. A systems-level map of the Arabidopsis hormone signalling network, comprising more than 2,000 binary protein–protein interactions, reveals hundreds of interpathway contact points, many of which mediate crosstalk between different hormone pathways. |
| Databáze: | OpenAIRE |
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