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Detection and Imaging of the Plant Pathogen Response by Near‐Infrared Fluorescent Polyphenol Sensors

Nißler, Robert; Müller, Andrea T.; Dohrman, Frederike; Kurth, Larissa; Li, Han; Cosio, Eric G.; Flavel, Benjamin S.; Giraldo, Juan Pablo; Mithöfer, Axel; Kruss, Sebastian

Abstract:

Plants use secondary metabolites such as polyphenols for chemical defense against pathogens and herbivores. Despite their importance in plant pathogen interactions and tolerance to diseases, it remains challenging to detect polyphenols in complex plant tissues. Here, we create molecular sensors for plant polyphenol imaging that are based on near-infrared (NIR) fluorescent single-wall carbon nanotubes (SWCNTs). We identified polyethylene glycol–phospholipids that render (6,5)-SWCNTs sensitive (K$_{d}$=90 nM) to plant polyphenols (tannins, flavonoids, …), which red-shift (up to 20 nm) and quench their emission (ca. 1000 nm). These sensors report changes in total polyphenol level after herbivore or pathogen challenge in crop plant systems (Soybean Glycine max) and leaf tissue extracts (Tococa spp.). We furthermore demonstrate remote chemical imaging of pathogen-induced polyphenol release from roots of soybean seedlings over the time course of 24 h. This approach allows in situ visualization and understanding of the chemical plant defense in real time and paves the way for plant phenotyping for optimized polyphenol secretion.


Verlagsausgabe §
DOI: 10.5445/IR/1000141646
Veröffentlicht am 05.01.2022
Originalveröffentlichung
DOI: 10.1002/anie.202108373
Scopus
Zitationen: 35
Web of Science
Zitationen: 29
Dimensions
Zitationen: 41
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2022
Sprache Englisch
Identifikator ISSN: 1433-7851, 1521-3773
KITopen-ID: 1000141646
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in Angewandte Chemie / International edition
Verlag John Wiley and Sons
Band 61
Heft 2
Vorab online veröffentlicht am 22.11.2021
Nachgewiesen in Web of Science
Dimensions
Scopus
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