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Wenig, M. ; Ghirardo, A. ; Sales, J.H. ; Pabst, E. ; Breitenbach, H.H. ; Antritter, F. ; Weber, B. ; Lange, B. ; Lenk, M. ; Cameron, R.K.* ; Schnitzler, J.-P. ; Vlot, A.C.

Systemic acquired resistance networks amplify airborne defense cues.

Nat. Commun. 10:3813 (2019)
Verlagsversion Forschungsdaten DOI
Open Access Gold
Creative Commons Lizenzvertrag
Salicylic acid (SA)-mediated innate immune responses are activated in plants perceiving volatile monoterpenes. Here, we show that monoterpene-associated responses are propagated in feed-forward loops involving the systemic acquired resistance (SAR) signaling components pipecolic acid, glycerol-3-phosphate, and LEGUME LECTIN-LIKE PROTEIN1 (LLP1). In this cascade, LLP1 forms a key regulatory unit in both within-plant and betweenplant propagation of immunity. The data integrate molecular components of SAR into systemic signaling networks that are separate from conventional, SA-associated innate immune mechanisms. These networks are central to plant-to-plant propagation of immunity, potentially raising SAR to the population level. In this process, monoterpenes act as microbe-inducible plant volatiles, which as part of plant-derived volatile blends have the potential to promote the generation of a wave of innate immune signaling within canopies or plant stands. Hence, plant-to-plant propagation of SAR holds significant potential to fortify future durable crop protection strategies following a single volatile trigger.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Methyl Salicylate Production; Plant Defense; Arabidopsis-thaliana; Pipecolic Acid; Azelaic-acid; Volatiles; Communication; Induction; Signal; Immunity
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 10, Heft: 1, Seiten: , Artikelnummer: 3813 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Environmental Simulation (EUS)