High-throughput plant phenotyping: a role for metabolomics?

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

56 Citations (Scopus)
29 Downloads

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
Number of pages15
JournalTrends in Plant Science
Volume27
Issue number6
DOIs
Publication statusPublished - Jun 2022

Keywords

  • Data integration
  • Metabolomics
  • Multimodal sensing
  • Phenomics
  • Plant phenotyping

Fingerprint

Dive into the research topics of 'High-throughput plant phenotyping: a role for metabolomics?'. Together they form a unique fingerprint.

Cite this