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Mass Spectrometry in Metabolomics pp 29–41Cite as

LC-MS Profiling to Link Metabolic and Phenotypic Diversity in Plant Mapping Populations

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1198))

Abstract

Numerous studies have revealed the extent of genetic, phenotypic, and metabolic variation between different plant cultivars/varieties. We present a specialized protocol for large-scale targeted and untargeted metabolite profiling for samples from large plant mapping populations using both reversed-phase and aqueous normal-phase LC-MS. This methodology provides a fast and combined targeted/nontargeted workflow as a powerful tool to discriminate related plant phenotypes and describes methods to combine mass features and agronomic traits to link phenotypic to metabolic traits independent of putative metabolite identities. This easily reproducible analytical strategy, in combination with a sophisticated data processing and analysis workflow, can be applicable to a wide range of plant mapping populations.

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Acknowledgements

This work was supported by the Australian Research Council and the Grains Research and Development Corporation, by the South Australian Government, the University of Adelaide, the University of Queensland, and the University of Melbourne, and by a Melbourne International Fee Remission Scholarship, a Melbourne International Research Scholarship, and a University of Melbourne Special Postgraduate Studentship to C.B.H.

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Authors and Affiliations

  1. Australian Centre for Plant Functional Genomics (ACPFG), School of Botany, The University of Melbourne, Professors Walk, Melbourne, VIC, 3010, Australia

    Camilla B. Hill & Ute Roessner

  2. Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, VIC, Australia

    Antony Bacic

  3. ARC Centre of Excellence in Plant Cell Walls and Metabolomics Australia, School of Botany, The University of Melbourne, Melbourne, VIC, Australia

    Antony Bacic

Authors
  1. Camilla B. Hill
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  2. Antony Bacic
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  3. Ute Roessner
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Corresponding author

Correspondence to Camilla B. Hill .

Editor information

Editors and Affiliations

  1. University of Washington Fred Hutchinson Cancer Rsrch Ctr, Seattle, Washington, USA

    Daniel Raftery

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Hill, C.B., Bacic, A., Roessner, U. (2014). LC-MS Profiling to Link Metabolic and Phenotypic Diversity in Plant Mapping Populations. In: Raftery, D. (eds) Mass Spectrometry in Metabolomics. Methods in Molecular Biology, vol 1198. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1258-2_3

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  • DOI: https://doi.org/10.1007/978-1-4939-1258-2_3

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1257-5

  • Online ISBN: 978-1-4939-1258-2

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