| Title: | Detection and analysis of novel and known plant volatile apocarotenoids |
| Author(s): | Leroux J; Truong TT; Pogson BJ; McQuinn RP; |
| Address: | "Australian Research Council Centre of Excellence in Plant Energy Biology, Research School of Biology, The Australian National University, Canberra, ACT, Australia. La Trobe University Proteomics and Metabolomics Platform, Research & Infrastructure, La Trobe University, Bundoora, VIC, Australia. Western Sydney University, School of Science, Richmond, NSW, Australia. Electronic address: r.mcquinn@westernsydney.edu.au" |
| DOI: | 10.1016/bs.mie.2022.03.020 |
| ISSN/ISBN: | 1557-7988 (Electronic) 0076-6879 (Linking) |
| Abstract: | "As the climate becomes increasingly unpredictable due to global warming, plants will encounter a greater challenge to adapt to their hostile environment (e.g., drought, heat, pollution). Volatile apocarotenoids (VAs) are an integral part of this necessary adaptation. VAs are involved in diverse plant life processes such as defense against biotic or abiotic stresses and regulate various aspects of plant development. The discovery of new VAs will help enhance abiotic and biotic stress tolerance, optimize biomass and crop yield, improve root development to better search for nutrients and promote symbiotic associations. This chapter describes an optimized method, HeadSpace Solid-Phase MicroExtraction (HS-SPME) coupled to Gas Chromatography-Mass Spectrometry (GC/MS), for the sensitive, reproducible, accurate, and high-throughput detection and quantification of novel and known VAs. Further optimization of this method can be performed by (1) adapting optimal growth conditions for your plants, (2) identifying the correct SPME fiber coating chemistry for the VAs of interest, (3) adapting optimal sample HS-SPME extraction temperature and time, and the desorption time in the GC inlet, (4) identifying the correct GC column and applying the optimal GC/MS parameters for good chromatographic baseline separation of the VAs, mass spectral matching and retention index (RI) validation, and (5) performing suitable quantification and statistical analyses. With this optimized and validated analytical technique, we detected and quantified 28 VAs; 20 of these were identified for the first time in Arabidopsis" |
| Keywords: | Gas Chromatography-Mass Spectrometry/methods *Solid Phase Microextraction/methods Temperature Apocarotenoid discovery Apocarotenoid quantification Apocarotenoids Hs-spme-gc/ms Optimization Untargeted volatilomics Volatile organic compounds; |
| Notes: | "MedlineLeroux, Julie Truong, Thy T Pogson, Barry J McQuinn, Ryan P eng Research Support, Non-U.S. Gov't 2022/07/26 Methods Enzymol. 2022; 670:311-368. doi: 10.1016/bs.mie.2022.03.020. Epub 2022 May 14" |
