PuSH - Publication Server of Helmholtz Zentrum München

Altmann, M. ; Altmann, S. ; Rodriguez, P.A. ; Weller, B. ; Elorduy Vergara, L. ; Palme, J. ; Marin De La Rosa, N.A. ; Sauer, M. ; Wenig, M. ; Villaécija-Aguilar, J.A.* ; Sales, J. ; Lin, C.-W. ; Pandiarajan, R. ; Young, V. ; Strobel, A. ; Gross, L.* ; Carbonnel, S.* ; Kugler, K.G. ; Garcia-Molina ; Bassel, G.W.* ; Falter, C. ; Mayer, K.F.X. ; Gutjahr, C.* ; Vlot, A.C. ; Grill, E.* ; Falter-Braun, P.

Extensive signal integration by the phytohormone protein network.

Nature 583, 271-276 (2020)
Postprint DOI PMC
Open Access Green
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.
Altmetric
Additional Metrics?
[➜Log in]
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Acid Receptors; Salicylic-acid; Arabidopsis; Hormone; Framework; Software; Platform; Database; Map
ISSN (print) / ISBN 0028-0836
e-ISSN 1476-4687
Journal Nature
Quellenangaben Volume: 583, Issue: 7815, Pages: 271-276 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Network Biology (INET)
Research Unit Environmental Simulation (EUS)
Research Unit Plant Genome and Systems Biology (PGSB)