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Osborne, R.* ; Rehneke, L.* ; Lehmann, S.* ; Roberts, J.* ; Altmann, M. ; Altmann, S. ; Zhang, Y.* ; Köpff, E.* ; Dominguez-Ferreras, A.* ; Okechukwu, E.* ; Sergaki, C.* ; Rich-Griffin, C.* ; Ntoukakis, V.* ; Eichmann, R.* ; Shan, W.* ; Falter-Braun, P. ; Schäfer, P.*

Symbiont-host interactome mapping reveals effector-targeted modulation of hormone networks and activation of growth promotion.

Nat. Commun. 14:4065 (2023)

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Plants have benefited from interactions with symbionts for coping with challenging environments since the colonisation of land. The mechanisms of symbiont-mediated beneficial effects and similarities and differences to pathogen strategies are mostly unknown. Here, we use 106 (effector-) proteins, secreted by the symbiont Serendipita indica (Si) to modulate host physiology, to map interactions with Arabidopsis thaliana host proteins. Using integrative network analysis, we show significant convergence on target-proteins shared with pathogens and exclusive targeting of Arabidopsis proteins in the phytohormone signalling network. Functional in planta screening and phenotyping of Si effectors and interacting proteins reveals previously unknown hormone functions of Arabidopsis proteins and direct beneficial activities mediated by effectors in Arabidopsis. Thus, symbionts and pathogens target a shared molecular microbe-host interface. At the same time Si effectors specifically target the plant hormone network and constitute a powerful resource for elucidating the signalling network function and boosting plant productivity.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Plant Immune-system; Piriformospora-indica; Disease Resistance; Fungal Effectors; Laccaria-bicolor; Innate Immunity; Arabidopsis; Protein; Suppression; Barley

ISSN (print) / ISBN 2041-1723

e-ISSN 2041-1723

Journal Nature Communications

Quellenangaben Volume: 14, Issue: 1, Article Number: 4065

Publisher Nature Publishing Group

Publishing Place London

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Network Biology (INET)

Grants Projekt DEAL