The study evaluated a transgenic soybean line (VPZ-34A) expressing Arabidopsis VDE, PsbS, and ZEP for combined improvements in light‑use efficiency and carbon assimilation under ambient and elevated CO2 in a FACE experiment. While VPZ‑34A showed enhanced maximum quantum efficiency of PSII under fluctuating light, it did not increase carbon assimilation efficiency or yield, and transcriptome analysis revealed limited gene expression changes. The results suggest that VPZ‑mediated photosynthetic gains are insufficient to boost productivity under elevated CO2.

The study integrates genome, transcriptome, and chromatin accessibility data from 380 soybean accessions to dissect the genetic and regulatory basis of symbiotic nitrogen fixation (SNF). Using GWAS, TWAS, eQTL mapping, and ATAC-seq, the authors identify key loci, co‑expression modules, and regulatory elements, and validate the circadian clock gene GmLHY1b as a negative regulator of nodulation via CRISPR and CUT&Tag. These resources illuminate SNF networks and provide a foundation for soybean improvement.

The study investigated how native soil microbes affect heat tolerance in soybean (Glycine max) by comparing plants grown in natural versus microbiome‑disturbed soils under optimal and elevated temperatures. Using 16S rRNA and ITS sequencing alongside non‑targeted root metabolomics, the authors found significant shifts in bacterial and fungal communities, suppressed nodule‑forming bacteria, and altered root metabolites that correlated with reduced nodulation efficiency under heat stress. Integrated multi‑omics analyses linked microbial composition to metabolite profiles and nitrogen‑fixation traits, highlighting a coordinated response of the root physiological system to combined heat and microbiome perturbations.

The study examined soybean (Glycine max) responses to simultaneous drought and Asian soybean rust infection using combined transcriptomic and metabolomic analyses. Weighted Gene Co-expression Network Analysis identified stress-specific gene modules linked to metabolites, while Copula Graphical Models uncovered sparse, condition‑specific networks, revealing distinct molecular signatures for each stress without overlapping genes or metabolites. The integrative approach underscores a hierarchical, modular defense architecture and suggests targets for breeding multi‑stress resilient soybeans.

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.

The study compares iron deficiency and drought tolerance between two soybean genotypes, Clark (tolerant) and Arisoy (sensitive), using multi‑omics analyses. Clark maintains iron homeostasis, higher antioxidant protein expression, and recruits beneficial root microbes (Variovorax, Paecilomyces) that support nutrient uptake and nodule function, while Arisoy shows impaired physiological and microbial responses. The findings identify host‑microbe interactions and specific molecular pathways as potential targets for breeding and microbiome‑based biofertilizers.