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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
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High-throughput plant phenotyping: a role for metabolomics?
Robert D Hall1, John C D'Auria2, Antonio C Silva Ferreira3
1BU Bioscience, Wageningen University & Research, 6700 AA, Wageningen, The Netherlands; Laboratory of Plant Physiology, Wageningen University, 6700 AA, Wageningen, The Netherlands; Netherlands Metabolomics Centre, Einsteinweg 55, Leiden, The Netherlands.
Trends in Plant Science
|March 6, 2022
Summary
High-throughput plant phenotyping needs advanced tools. Integrating metabolomics can enhance plant analysis to the subcellular level, bridging the genotype-phenotype gap for better crop insights.
Area of Science:
- Plant science
- Genetics
- Biochemistry
Background:
- High-throughput plant phenotyping (HTP) rapidly advances genotype-phenotype gap bridging.
- Current HTP methods are limited to physico-spectral evaluations, lacking subcellular resolution.
- Metabolites are crucial for plant physiology and agronomic traits.
Purpose of the Study:
- To review the state-of-the-art in integrating metabolomics with HTP plant phenotyping.
- To identify challenges and potential solutions for incorporating metabolomics into phenotyping pipelines.
- To highlight upcoming technologies for enhanced plant analysis.
Main Methods:
- Literature review of current HTP technologies.
- Analysis of metabolomics integration challenges and opportunities.
- Discussion of novel technological innovations in plant phenotyping.
Main Results:
- HTP phenotyping is evolving but requires subcellular analytical capabilities.
- Metabolomics integration offers significant added value to HTP platforms.
- Several technological innovations are under-exploited in phenotyping.
Conclusions:
- Full integration of metabolomics into HTP phenotyping pipelines is feasible with technological advancements.
- Overcoming current limitations will unlock deeper insights into plant biology and breeding.
- Future phenotyping will benefit from multi-level analytical approaches.

