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 authors compiled and standardized published data on Rubisco dark inhibition for 157 flowering plant species, categorizing them into four inhibition levels and analyzing phylogenetic trends. Their meta‑analysis reveals a complex, uneven distribution of inhibition across taxa, suggesting underlying chloroplast microenvironment drivers and providing a new resource for future photosynthesis improvement efforts.

A two‑year field study examined how soybean (Glycine max) vegetative and reproductive tissues respond transcriptionally and physiologically to water deficit, heat, and their combination. The field‑grown plants showed distinct transcriptomic patterns compared with controlled‑environment studies, especially under single stresses, while differential leaf‑pod transpiration observed in growth chambers was also present in the field. The generated transcriptomic dataset highlights the importance of field‑based omics for understanding crop stress responses.