Multi-facility, high-temporal-resolution phenomics of growth-defence allocation responses in potato.
6 affiliations
- 1Department of Agricultural Sciences, University of Helsinki, Finland.
- 2National Plant Phenotyping Infrastructure, Helsinki Institute of Life Sciences, Biocenter Finland, Department of Organismal and Evolutionary Biology, University of Helsinki, Finland.
- 3Swedish University of Agricultural Sciences, Department of Plant Protection Biology, Lomma, Sweden.
- 4University of Copenhagen, Department of Plant and Environmental Science, Taastrup, Denmark.
- 5CzechGlobe-Global Change Research Institute CAS, 603 00, Brno, Czech Republic.
- 6Aarhus University, Department of Environmental Science, Roskilde, Denmark.
Abstract
Understanding how plants allocate resources between growth and defence is a fundamental question in plant biology. Such allocation responses are often subtle, requiring precise measurement tools and comparative experimental designs to detect. In this study, a high-throughput phenomics framework with daily monitoring was deployed at two independent facilities to assess growth, morphology, and physiology of Solanum tuberosum cv. Désirée and six transgenic lines under pathogen-free conditions. Plants treated with resistance-inducing compounds β-aminobutyric acid (BABA) or potassium phosphite (KPhi), alongside lines carrying single Rpi genes (R2A, blb1), a three-gene stack (3R1, 3R2), or RNAi knockdown of the jasmonate co-receptor StCOI1 (coi1H1, coi1X5), were phenotyped to compare the allocation responses of resistance inducers and genetically encoded resistance. Over four weeks, image-derived traits revealed consistent effects across both facilities: BABA increased plant height and elevated the greenness index, whereas KPhi imposed no consistent change in growth; StCOI1-silenced lines gained in height. Endpoint enzyme profiling revealed that BABA and KPhi engaged distinct enzyme classes within each facility, with KPhi consistently imposing a lower apparent growth cost; StCOI1-silenced lines showed facility-dependent enzyme configurations despite a consistent height phenotype; however, the specific enzyme signatures were not conserved across facilities, indicating that cross-facility enzyme phenotyping requires explicit characterisation of the local metabolic baseline. Overall, high-throughput phenomics resolved subtle, resistance-associated allocation responses across platforms, showing that BABA and KPhi were associated with distinct endpoint enzyme signatures in a given environment, with KPhi's lower cost conserved across environments but signature identity shaped jointly by treatment and environment.
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BibTeX
@article{poque2026multifacility,
title = {{Multi-facility, high-temporal-resolution phenomics of growth-defence allocation responses in potato.}},
author = {Sylvain Poque and Murilo A Sandroni and Pedro Garcia-Caparros and Jesper Cairo Westergaard and Katriina Mouhu and Manzur E Mohsina Ferdous and Erik Andreasson and Laura J Grenville-Briggs and Åsa Lankinen and Thomas Roitsch and Kristiina I H Himanen and Erik Alexandersson},
journal = {Plant phenomics (Washington, D.C.)},
year = {2026},
month = oct,
doi = {10.1016/j.plaphe.2026.100297},
url = {https://europepmc.org/article/MED/42999729},
note = {CC BY},
}
RIS
TY - JOUR
TI - Multi-facility, high-temporal-resolution phenomics of growth-defence allocation responses in potato.
AU - Sylvain Poque
AU - Murilo A Sandroni
AU - Pedro Garcia-Caparros
AU - Jesper Cairo Westergaard
AU - Katriina Mouhu
AU - Manzur E Mohsina Ferdous
AU - Erik Andreasson
AU - Laura J Grenville-Briggs
AU - Åsa Lankinen
AU - Thomas Roitsch
AU - Kristiina I H Himanen
AU - Erik Alexandersson
PY - 2026
DA - 2026/10/22
JO - Plant phenomics (Washington, D.C.)
DO - 10.1016/j.plaphe.2026.100297
UR - https://europepmc.org/article/MED/42999729
AB - Understanding how plants allocate resources between growth and defence is a fundamental question in plant biology. Such allocation responses are often subtle, requiring precise measurement tools and comparative experimental designs to detect. In this study, a high-throughput phenomics framework with daily monitoring was deployed at two independent facilities to assess growth, morphology, and physiology of Solanum tuberosum cv. Désirée and six transgenic lines under pathogen-free conditions. Plants treated with resistance-inducing compounds β-aminobutyric acid (BABA) or potassium phosphite (KPhi), alongside lines carrying single Rpi genes (R2A, blb1), a three-gene stack (3R1, 3R2), or RNAi knockdown of the jasmonate co-receptor StCOI1 (coi1H1, coi1X5), were phenotyped to compare the allocation responses of resistance inducers and genetically encoded resistance. Over four weeks, image-derived traits revealed consistent effects across both facilities: BABA increased plant height and elevated the greenness index, whereas KPhi imposed no consistent change in growth; StCOI1-silenced lines gained in height. Endpoint enzyme profiling revealed that BABA and KPhi engaged distinct enzyme classes within each facility, with KPhi consistently imposing a lower apparent growth cost; StCOI1-silenced lines showed facility-dependent enzyme configurations despite a consistent height phenotype; however, the specific enzyme signatures were not conserved across facilities, indicating that cross-facility enzyme phenotyping requires explicit characterisation of the local metabolic baseline. Overall, high-throughput phenomics resolved subtle, resistance-associated allocation responses across platforms, showing that BABA and KPhi were associated with distinct endpoint enzyme signatures in a given environment, with KPhi's lower cost conserved across environments but signature identity shaped jointly by treatment and environment.
SN - 2643-6515
ER -