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

Nishikant Wase; Nathan Abshire; Toshihiro Obata

doi:10.1007/978-1-0716-2537-8_19

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

Methods Mol Biol. 2022:2539:235-260. doi: 10.1007/978-1-0716-2537-8_19.

Authors

Nishikant Wase^{1

2}, Nathan Abshire¹, Toshihiro Obata³

Affiliations

¹ Department of Biochemistry and Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA.
² Biomolecular Analysis Facility, University of Virginia School of Medicine, Charlottesville, VA, USA.
³ Department of Biochemistry and Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA. tobata2@unl.edu.

PMID: 35895208
DOI: 10.1007/978-1-0716-2537-8_19

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.

Keywords: GC-HR-TOF-MS; Metabolomics; Phenomics; Plant phenotyping.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Gas Chromatography-Mass Spectrometry
Metabolomics*
Phenotype
Plants* / genetics
Workflow