Elevated CO2 enhances tomato tolerance to Botrytis cinerea through transcriptional and metabolic defence reprogramming

Authors

Baistrocchi, F., Orero-Bayo, M., Yu, L., Sanchez-Lucas, R., Pastor, V., Garcia-Molina, A.

Abstract

Atmospheric CO2; concentration is projected to rise substantially over the coming decades, yet its impact on the molecular mechanisms governing plant immunity remains poorly understood. Here, we investigated how elevated CO2; (eCO2; 650 ppm) combined with increased temperature (+5 C) influences tomato responses to Botrytis cinerea through integrated phenotypic, metabolomic, transcriptomic, and gene regulatory network (GRN) analyses across eight cultivars. Although cultivars displayed contrasting susceptibility under ambient conditions, eCO2 consistently enhanced tolerance across all genetic backgrounds. Multi-omics analyses revealed a partial uncoupling between transcriptional and metabolic responses during infection, with repression of photosynthesis- and carbon metabolism-related genes contrasting with the accumulation of carbon- and amino acid-derived metabolites. Under eCO2, this metabolic disruption was attenuated, preserving metabolic homeostasis during infection. GRN reconstruction identified a conserved WRKY-ERF regulatory module underlying the growth-defence trade-off, while functional perturbation demonstrated that its contribution to resistance depends on both genotype and environmental context, highlighting the importance of basal defence mechanisms. Targeted metabolomics further revealed that eCO2 promotes a metabolically primed state characterized by reinforcement of structural and chemical defence barriers rather than stronger activation of inducible immune responses. Together, our findings show that enhanced tolerance under eCO2 emerges from coordinated reorganization across regulatory and metabolic networks, providing a systems-level framework for understanding plant immunity and improving crop resilience under future climate scenarios.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 24 Jul 2026.

Stats

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.