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Comprehensive LC-MS-Based Metabolite Fingerprinting Approach for Plant and Fungal-Derived Samples

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High-Throughput Metabolomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1978))

Abstract

Liquid chromatography-mass spectrometry (LC-MS)-based nontargeted metabolome approaches aim to detect chemotypes as markers for stress, disease, developmental, or genetic perturbation. Herein, we present a metabolite fingerprinting workflow, which is applicable for the analysis of tissues and fluids derived from plants and fungi. This is based on a broad metabolite coverage by a two-phase extraction and the separate analysis of polar, and nonpolar compounds by positive as well as negative electrospray ionization. For analysis of the resulting comprehensive data sets, the interactive and user-friendly data mining software MarVis-Suite is used. It supports statistical analysis, adduct correction, data merging, as well as visualization of multivariate data. Finally, MarVis shapes marker identification to the organism of interest. Therefore, it provides access to the species-specific databases KEGG and BioCyc and to custom databases tailored by the user.

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Acknowledgments

This work was supported by the German Federal Ministry of Education and Research (BioFung 0315595A) and the German Research Foundation (ZUK 45/2010). We are very grateful to Alexander Kaever and Manuel Landesfeind for collaborating with us on the development of the MarVis-Suite and improving the workflow of the metabolite fingerprinting approach. We thank Sabine Freitag and Pia Meyer for excellent assistance.

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Authors and Affiliations

  1. Department of Plant Biochemistry, Albrecht-von-Haller-Institute for Plant Sciences, University of Goettingen, Goettingen, Germany

    Kirstin Feussner & Ivo Feussner

  2. Service Unit for Metabolomics and Lipidomics, Goettingen Center for Molecular Biosciences (GZMB), University of Goettingen, Goettingen, Germany

    Kirstin Feussner & Ivo Feussner

  3. Department of Plant Biochemistry, Goettingen Center for Molecular Biosciences (GZMB), University of Goettingen, Goettingen, Germany

    Ivo Feussner

Authors
  1. Kirstin Feussner
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  2. Ivo Feussner
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Correspondence to Ivo Feussner .

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Editors and Affiliations

  1. Department of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, USA

    Angelo D'Alessandro

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Feussner, K., Feussner, I. (2019). Comprehensive LC-MS-Based Metabolite Fingerprinting Approach for Plant and Fungal-Derived Samples. In: D'Alessandro, A. (eds) High-Throughput Metabolomics. Methods in Molecular Biology, vol 1978. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9236-2_11

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  • DOI: https://doi.org/10.1007/978-1-4939-9236-2_11

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9235-5

  • Online ISBN: 978-1-4939-9236-2

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