Enzyme-driven metabolomic screening : a proof-of-principle method for discovery of plant defence compounds targeted by pathogens

© 2016 CSIRO. New Phytologist © 2016 New Phytologist Trust.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 212(2016), 3 vom: 29. Nov., Seite 770-779
1. Verfasser: Carere, Jason (VerfasserIn)
Weitere Verfasser: Colgrave, Michelle L, Stiller, Jiri, Liu, Chunji, Manners, John M, Kazan, Kemal, Gardiner, Donald M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article defence compounds mass spectrometry (MS) metabolomic screening phytoalexin phytoanticipin secondary metabolites Enzymes Fungal Proteins Phytochemicals mehr... tomatidine 2B73S48786 Tomatine 31U6547O08
Beschreibung
Zusammenfassung:© 2016 CSIRO. New Phytologist © 2016 New Phytologist Trust.
Plants produce a variety of secondary metabolites to defend themselves from pathogen attack, while pathogens have evolved to overcome plant defences by producing enzymes that degrade or modify these defence compounds. However, many compounds targeted by pathogen enzymes currently remain enigmatic. Identifying host compounds targeted by pathogen enzymes would enable us to understand the potential importance of such compounds in plant defence and modify them to make them insensitive to pathogen enzymes. Here, a proof of concept metabolomics-based method was developed to discover plant defence compounds modified by pathogens using two pathogen enzymes with known targets in wheat and tomato. Plant extracts treated with purified pathogen enzymes were subjected to LC-MS, and the relative abundance of metabolites before and after treatment were comparatively analysed. Using two enzymes from different pathogens the in planta targets could be found by combining relatively simple enzymology with the power of untargeted metabolomics. Key to the method is dataset simplification based on natural isotope occurrence and statistical filtering, which can be scripted. The method presented here will aid in our understanding of plant-pathogen interactions and may lead to the development of new plant protection strategies
Beschreibung:Date Completed 26.01.2018
Date Revised 07.12.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.14067