High-throughput plant phenotyping: a role for metabolomics?

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.

Plant phenotyping relevance

植物フェノタイピング基盤へのメタボロミクス統合を中心に、現状・課題・技術的将来展望をレビューしており、方法論レビューとして中心的です。

Code and data availability

This is a review article on high-throughput plant phenotyping and metabolomics. It presents no original plant-phenotyping measurements, datasets, images, or author analysis code. All referenced tools (IntLIM, mixKernel, MetExplore, PlantSEED, etc.), phenotyping facilities, and bioRxiv preprints are cited prior work or,

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