The study used transcriptomic profiling to compare tomato (Solanum lycopersicum) responses to three evolutionarily distant pathogens—nematodes, aphids, and oomycetes—during compatible interactions, identifying differentially expressed genes and key host hubs. Integrating public datasets and performing co‑expression and GO enrichment analyses, the authors mapped shared dysregulation clusters and employed Arabidopsis interactome data to place tomato candidates within broader networks, highlighting potential targets for multi‑pathogen resistance.

The authors used a bottom‑up thermodynamic modelling framework to investigate how plants decode calcium signals, starting from Ca2+ binding to EF‑hand proteins and extending to higher‑order decoding modules. They identified six universal Ca2+-decoding modules that can explain variations in calcium sensitivity among kinases and provide a theoretical basis for interpreting calcium signal amplitude and frequency in plant cells.

The study used Arabidopsis thaliana autoimmune (DANGEROUS MIX) mutants to dissect the growth–defence trade‑off, identifying two core transcriptomic modules that capture growth and defence programs. Genetic removal of the three ADR1 helper NLRs reversed module expression and preferentially restored growth‑related receptor‑like kinase genes, while chromatin accessibility changes were larger at growth loci, indicating that ADR1‑mediated immune signaling actively suppresses growth genes.