@inbook{57448f1c119247f0b815a1225bede944,
title = "A liquid chromatography-mass spectrometry-based metabolomics strategy to explore plant metabolic diversity",
abstract = "Plants are expert chemists producing millions of metabolites, only a fraction of which are known to date. Plant metabolomics explores the rationale for highly diverse metabolites evolved and synthesized by plants. Over two-thirds of modern medicines are somehow inspired and/or derived from plants, making the identification of phytochemicals a means of discovering new medicines to challenge existing and emerging diseases. This chapter introduces our established liquid chromatography-tandem mass spectrometry-based untargeted metabolomics approach centered around discovering specialized metabolites (so-called secondary metabolites) across broad lineages of nonmodel plant species. Detecting hundreds to thousands of metabolite peaks, including assigning chemical identity, makes metabolomics data generation and analysis a very complex process. Various mass spectrometry techniques are currently being developed to approach the comprehensive metabolome. Among them, untargeted metabolomics can provide new biological insights by simultaneously and unbiasedly measuring and analyzing all detected metabolites. We have provided a hands-on modular account for untargeted plant metabolomics, from preparing plant biological samples to data analysis and processing using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. The methods described here offer a foundation and expert opinion on plant metabolome analysis.",
keywords = "Liquid chromatography, Metabolite extraction, Plant metabolome analysis, Quadrupole time-of-flight mass spectrometry, Specialized metabolite analysis, Untargeted metabolomics",
author = "Tetsuya Mori and Amit Rai and Hiroshi Tsugawa and Yutaka Yamada and Kazuki Saito",
note = "We express our deepest gratitude to several researchers from Metabolomics Research Group, RIKEN, for their contributions to optimizing the method described here, by including diverse plant species for metabolite profiling. We also want to thank Dr. Ryo Nakabayashi (RIKEN CSRS) for his contribution to establishing the MS and MS/MS method described in this book chapter. We thank Prof. Richard A. Dixon (University of North Texas) for providing pap1-D mutant and Dr. Satoshi Kitamura (National Institutes for Quantum Science and Technology) for providing tt4 mutant. We also thank Tomoko Nishizawa (RIKEN CSRS) for excellent technical assistance. This work was supported by JSPS KAKENHI (21K18216 to H.T.) and JST National Bioscience Database Center (NBDC to H.T.). We would like to thank Editage (www.editage.com) for English language editing. We express our deepest gratitude to several researchers from Metabolomics Research Group, RIKEN, for their contributions to optimizing the method described here, by including diverse plant species for metabolite profiling. We also want to thank Dr. Ryo Nakabayashi (RIKEN CSRS) for his contribution to establishing the MS and MS/MS method described in this book chapter. We thank Prof. Richard A. Dixon (University of North Texas) for providing pap1-D mutant and Dr. Satoshi Kitamura (National Institutes for Quantum Science and Technology) for providing tt4 mutant. We also thank Tomoko Nishizawa (RIKEN CSRS) for excellent technical assistance. This work was supported by JSPS KAKENHI (21K18216 to H.T.) and JST National Bioscience Database Center (NBDC to H.T.). We would like to thank Editage ( www.editage.com ) for English language editing.",
year = "2023",
month = jan,
doi = "10.1016/bs.mie.2022.08.029",
language = "English (US)",
isbn = "9780443185847",
series = "Methods in Enzymology",
publisher = "Academic Press Inc.",
pages = "247--273",
editor = "Joseph Jez",
booktitle = "Biochemical Pathways and Environmental Responses in Plants",
address = "United States",
}