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High-throughput plant phenotyping: a role for metabolomics?

Robert D. Hall, John C. D’Auria, A. C. Silva Ferreira, Yves Gibon, Dariusz Kruszka, Puneet Mishra, H.J. van de Zedde

2022Trends in Plant Science99 citationsDOIOpen Access PDF

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.

Topics & Concepts

MetabolomicsBiologyContext (archaeology)Pipeline (software)Computational biologyKey (lock)ThroughputBiotechnologyBiochemical engineeringData scienceComputer scienceBioinformaticsEcologyEngineeringPaleontologyTelecommunicationsProgramming languageWirelessMetabolomics and Mass Spectrometry StudiesPlant Gene Expression AnalysisGenomics and Phylogenetic Studies
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