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High-Throughput Profiling of Metabolic Phenotypes Using High-Resolution GC-MS

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High-Throughput Plant Phenotyping

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2539))

Abstract

Metabolite profiling provides insights into the metabolic signatures, which themselves are considered as phonotypes closely related to the agronomic and phenotypic traits such as yield, nutritional values, stress resistance, and nutrient use efficiency. GC-MS is a sensitive and high-throughput analytical platform and has been proved to be a vital tool for the analysis of primary metabolism to provide an overview of cellular and organismal metabolic status. The potential of GC-MS metabolite profiling as a tool for detecting metabolic changes in plants grown in a high-throughput plant phenotyping platform was explored. In this chapter, we describe an integrated workflow of semi-targeted GC-high-resolution (HR)-time-of-flight (TOF)-MS metabolomics with both the analytical and computational steps, focusing mainly on the sample preparation, GC-HR-TOF-MS analysis part, and data analysis for plant phenotyping efforts.

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Acknowledgments

This study was supported by the National Science Foundation/EPSCoR RII Track-2 FEC (Award #1736192, to N.A. and T.O.), the National Science Foundation/EPSCoR RII Track-1 (Award #1557417, to N.W. and T.O.), and the University of Nebraska-Lincoln Faculty Startup Grant (to T.O.).

Author information

Authors and Affiliations

  1. Department of Biochemistry and Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA

    Nishikant Wase, Nathan Abshire & Toshihiro Obata

  2. Biomolecular Analysis Facility, University of Virginia School of Medicine, Charlottesville, VA, USA

    Nishikant Wase

Authors
  1. Nishikant Wase
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  2. Nathan Abshire
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  3. Toshihiro Obata
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Corresponding author

Correspondence to Toshihiro Obata .

Editor information

Editors and Affiliations

  1. Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA

    Argelia Lorence

  2. Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR, USA

    Karina Medina Jimenez

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Wase, N., Abshire, N., Obata, T. (2022). High-Throughput Profiling of Metabolic Phenotypes Using High-Resolution GC-MS. In: Lorence, A., Medina Jimenez, K. (eds) High-Throughput Plant Phenotyping. Methods in Molecular Biology, vol 2539. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2537-8_19

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  • DOI: https://doi.org/10.1007/978-1-0716-2537-8_19

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2536-1

  • Online ISBN: 978-1-0716-2537-8

  • eBook Packages: Springer Protocols

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