High-throughput plant phenotyping: a role for metabolomics?

Robert D. Hall*, John C. D'Auria, Antonio C. Silva Ferreira, Yves Gibon, Dariusz Kruszka, Puneet Mishra, Rick van de Zedde

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

42 Citations (Scopus)

Abstract

High-throughput (HTP) plant phenotyping approaches are developing rapidly and are already helping to bridge the genotype–phenotype gap. However, technologies should be developed beyond current physico-spectral evaluations to extend our analytical capacities to the subcellular level. Metabolites define and determine many key physiological and agronomic features in plants and an ability to integrate a metabolomics approach within current HTP phenotyping platforms has huge potential for added value. While key challenges remain on several fronts, novel technological innovations are upcoming yet under-exploited in a phenotyping context. In this review, we present an overview of the state of the art and how current limitations might be overcome to enable full integration of metabolomics approaches into a generic phenotyping pipeline in the near future.

Original languageEnglish
Pages (from-to)549-563
JournalTrends in Plant Science
Volume27
Issue number6
Early online date3 Mar 2022
DOIs
Publication statusPublished - Jun 2022

Keywords

  • data integration
  • metabolomics
  • multimodal sensing
  • phenomics
  • plant phenotyping

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