Evidence map›Paper›PMID 40336080›Full record

ArticlePlant methods2025

Phenotype microarray-based assessment of metabolic variability in plant protoplasts.

Alice Checcucci, Francesca Decorosi, Giulia Alfreducci, Roberto Natale, Agnese Bellabarba, Stefano Biricolti, Donatella Paffetti, Alessio Mengoni, Carlo Viti

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Article in Plant methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Alice CheccucciDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy. alice.checcucci@unifi.it.
Francesca DecorosiDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Giulia AlfreducciDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Roberto NataleDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Agnese BellabarbaDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Stefano BiricoltiDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Donatella PaffettiDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.
Alessio MengoniDepartment of Biology, University of Florence, Florence, Italy.
Carlo VitiDepartment of Agricultural, Environmental, Food and Forestry Science and Technology (DAGRI), University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProductivity and fitness of cultivated plants are influenced by genetic heritage and environmental interactions, shaping certain phenotypes. Phenomics is the -omics methodology providing applicative approaches for the analysis of multidimensional phenotypic information, essential to understand and foresee the genetic potential of organisms relevant to agriculture. While plant phenotyping provides information at the whole organism level, cellular level phenotyping is crucial for identifying and dissecting the metabolic basis of different phenotypes and the effect of metabolic-related genetic modifications. Phenotype Microarray (PM) is a high-throughput technology developed by Biolog

resultsHere, we tested for the first time, PM technology on plant cells using protoplasts as a means of evaluating metabolic activity. Indeed, studying the metabolism of plant protoplasts can be a valuable method for predicting the inherent metabolic potential of an entire plant organism. Protoplasts are indeed valuable tools in plant research and biotechnology because they offer a simplified, isolated cellular system where researchers can focus on intracellular processes without interference from the cell wall. As a proof-of-principle, we used protoplasts of Solanum tuberosum L. as model system. Protoplasts were isolated from leaf tissue of in vitro-grown plants, purified and then diluted until desired concentration. Microplates were inoculated with protoplasts suspension and various markers of redox potential as indicators of cell activity were tested. After identifying the optimal conditions for PM testing, metabolic tests were extended to protoplasts from S. lycopersicum L., evaluating plant response to different NaCl concentrations and some of the toxic compounds present in pre-configured Biolog

conclusionsThe standardized high-throughput system developed was effective for the metabolic characterization of plant protoplasts. This method lays the foundation for plant cell metabolic phenotype studies enabling comparative studies at cellular level among cultivars, species, wild-type organisms, and genome-edited plants.

Indexed as

Cellular level phenotypingMetabolic activityPhenotype microarrayPlant cellsProtoplasts

Identifiers

PMID40336080
PMCPMC12060552

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