ArticleThe New phytologist2025
Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana.
Article in The New phytologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Plasticity of metabolism in plants.The Plant journal : for cell and molecular biology · 2026Review
- NeuralFlux: Estimation of Reaction Fluxes at a Genome-Scale Level From Time-Resolved Isotope Labelling Patterns Using Deep Learning.Plant biotechnology journal · 2026Article
- Understanding plant resilience by putting photosynthesis and photorespiration in the metabolic context.Planta · 2026Review
- Temperature-mediated plasticity of floral and fitness traits inQuantitative plant biology · 2026Article
- Mapping multi-substrate specificity of Arabidopsis aminotransferases.Nature plants · 2025Article
- Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Temperature is a critical environmental factor affecting nearly all plant processes, including growth, development, and yield. Yet, despite decades of research, we lack the ability to predict plant performance at different temperatures, limiting the development of climate-resilient crops. Further, there is a pressing need to bridge the gap between the prediction of physiological and molecular traits to improve our understanding and manipulation of plant temperature responses. Here, we developed the first enzyme-constrained model of Arabidopsis thaliana's metabolism, facilitating predictions of growth-related phenotypes at different temperatures. We showed that the model can be employed for in silico identification of genes that affect plant growth at suboptimal growth temperature. Using mutant lines, we validated the genes predicted to affect plant growth, demonstrating the potential of metabolic modeling in accurately predicting plant thermal responses. The temperature-dependent enzyme-constrained metabolic model provides a template that can be used for developing sophisticated strategies to engineer climate-resilient crops.
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