Evidence map›Paper›PMID 40773226›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.

Jan Zrimec, Sandra Correa, Maja Zagorščak, Marko Petek, Carissa Bleker, Katja Stare, Christian Schuy, Sophia Sonnewald, Kristina Gruden, Zoran Nikoloski

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jan Zrimec *Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.ORCID 0000-0002-7099-961X
Sandra Correa *Bioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam DE14476, Germany.ORCID 0000-0002-5049-9271
Maja ZagorščakDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.ORCID 0000-0002-1669-6482
Marko PetekDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.ORCID 0000-0003-3644-7827
Carissa BlekerDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.ORCID 0000-0003-1617-7145
Katja StareDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.
Christian SchuyDepartment Biologie, Lehrstuhl für Biochemie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen DE91058, Germany.ORCID 0000-0002-3104-3551
Sophia SonnewaldDepartment Biologie, Lehrstuhl für Biochemie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen DE91058, Germany.ORCID 0000-0002-9185-6255
Kristina GrudenDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana SI1000, Slovenia.ORCID 0000-0001-5906-8569
Zoran NikoloskiBioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam, Potsdam DE14476, Germany.ORCID 0000-0003-2671-6763

Funding

EC | Horizon 2020 Framework Programme (H2020) 862201EC | Horizon 2020 Framework Programme (H2020) 862858Public Scholarship, Development, Disability and Maintenance Fund of the Republic of Slovenia 11013-9/2021-2The Slovenian Research and Innovation Agency (ARRS) J2-3060The Slovenian Research and Innovation Agency (ARRS) P4-0165The Slovenian Research and Innovation Agency (ARRS) Z4-50146
6 · The paper itself

Abstract

Understanding the molecular mechanisms behind plant response to stress can enhance breeding strategies and help us design crop varieties with improved stress tolerance, yield, and quality. To investigate resource redistribution from growth- to defense-related processes in an essential tuber crop, potato, here we generate a large-scale compartmentalized genome-scale metabolic model (GEM), potato-GEM. Apart from a large-scale reconstruction of primary metabolism, the model includes the full known potato secondary metabolism, spanning over 566 reactions that facilitate the biosynthesis of 182 distinct potato secondary metabolites. Constraint-based modeling identifies that the activation of the largest amount of secondary (defense) pathways occurs at a decrease of the relative growth rate of potato leaf, due to the costs incurred by defense. We then obtain transcriptomics data from experiments exposing potato leaves to two biotic stress scenarios, a herbivore and a viral pathogen, and apply them as constraints to produce condition-specific models. We show that these models recapitulate experimentally observed decreases in relative growth rates under treatment as well as changes in metabolite levels between treatments, enabling us to pinpoint the metabolic rewiring underlying growth-defense trade-offs. Potato-GEM thus presents a useful resource to study and broaden our understanding of potato and general plant defense responses under stress conditions.

Indexed as

Models, BiologicalPlant DevelopmentSecondary MetabolismSolanum tuberosumAnimalsGene Expression Regulation, PlantHerbivoryPlant DiseasesPlant LeavesStress, PhysiologicalTranscriptomeconstraint-based metabolic modelinggrowth-defence trade-offssecondary metabolismsystems biology

Identifiers

PMID40773226
PMCPMC12358851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.