High-throughput plant phenotyping: a role for metabolomics?

• Autor(a) principal: Hall, Robert D.
• Data de Publicação: 2022
• Outros Autores: D'Auria, John C., Ferreira, António C. Silva, Gibon, Yves, Kruszka, Dariusz, Mishra, Puneet, Zedde, Rick van de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.14/37056
• topic: Data integration; Metabolomics; Multimodal sensing; Phenomics; Plant phenotyping

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.