The study performed transcriptome profiling of Cryptomeria japonica individuals from different geographic origins grown in three common gardens across Japan, assembling 77,212 transcripts guided by the species' genome. Using SNP-based genetic clustering and weighted gene co‑expression network analysis, they identified gene modules whose expression correlated with genetic differentiation, revealing that defense‑related genes are up‑regulated in Pacific‑side populations while terpenoid metabolism genes are higher in Sea‑of‑Japan populations, indicating local adaptation via regulatory changes.

A biparental Vicia faba mapping population was screened under glasshouse conditions for resistance to a mixture of Fusarium avenaceum and Fusarium oxysporum, revealing several families with moderate to high resistance. Using the Vfaba_v2 Axiom SNP array, a high-density linkage map of 6,755 SNPs was constructed, enabling the identification of a major QTL on linkage group 4 associated with partial resistance to foot and root rot.

The study develops an updated genome-scale metabolic model of tomato leaf (CBZ_iSL3433) incorporating carbamazepine (CBZ) transformation reactions to simulate the pollutant's stress impact under phototrophic conditions. Constraint-based analysis predicts significant reductions in biomass and altered fluxes in nutrient assimilation and secondary metabolism, which are largely ameliorated by biostimulants such as proline, spermine, glycerol, and ethanol. This framework demonstrates a systems-level approach for screening strategies to mitigate pharmaceutical pollutant stress in crops.