The study performed a comprehensive computational analysis of the Arabidopsis thaliana proteome, classifying 48,359 proteins by melting temperature (Tm) and melting temperature index (TI) and linking thermal stability to amino acid composition, molecular mass, and codon usage. Machine‑learning and evolutionary analyses revealed that higher molecular mass and specific codon pairs correlate with higher Tm, and that gene duplication has driven the evolution of high‑Tm proteins, suggesting a genomic basis for stress resilience.

The study developed a validated LC‑MS/MS method to simultaneously quantify fourteen polyamines, amino acids, and ethylene precursors in Arabidopsis thaliana and Solanum lycopersicum, and used it to compare their metabolic responses to drought, salinity, and inhibitor treatments. Distinct species‑specific metabolic adjustments were observed, with Arabidopsis showing greater fluctuations and drought generally increasing metabolite levels, while spermine exhibited stress‑specific patterns.

The study investigated whether nitrogen‑fixing rhizobial symbiosis in Medicago truncatula primes defense against the pea aphid Acyrthosiphon pisum. Metabolite profiling (LC‑MS, GC‑MS) and qPCR revealed that symbiotic plants uniquely accumulated triterpenoid saponins and up‑regulated flavonoid‑biosynthetic genes after aphid infestation, suggesting that NFS enhances pest‑specific defenses.