The study investigates the gene regulatory network (GRN) controlling flowering time in the allotetraploid crop Brassica napus by comparing its transcriptome to that of Arabidopsis thaliana. While most orthologous gene pairs show conserved expression dynamics, several flowering‑time genes display regulatory divergence, especially under cold conditions, indicating subfunctionalisation among paralogues. Despite these differences, the overall GRN topology remains similar to Arabidopsis, likely due to retention of multiple paralogues.

The study projects the future bioclimatic suitability of 35 invasive non‑native plant species across the Pyrenees using ensemble species‑distribution models under four climate scenarios up to 2100. Results suggest that most species will not expand climatically, with suitable habitats shifting upslope and concentrating around 2,000 m, thereby limiting overlap with endemic flora. The authors argue that these projections can help prioritize monitoring and early‑intervention strategies in mountain ecosystems.

The study examined how rising Arctic temperatures affect flowering phenology in the Arctic‑alpine plant Oxyria digyna by analyzing approximately 120 years of herbarium specimens alongside climate data. Linear regression analyses revealed that Boreal Arctic populations advanced flowering with increased summer and June temperatures, whereas Alpine and Arctic Tundra populations showed different timing shifts linked to June temperature changes. These findings highlight variable adaptive potential among populations in response to rapid climatic warming.

The study investigates how elevated temperatures associated with climate change affect NLR-mediated immunity, focusing on the Arabidopsis RPS4/RRS1 pair that confers resistance to Ralstonia pseudosolanacearum. By integrating natural genetic variation screening, genetic mapping, polymorphism analysis, structural modeling, and functional complementation, the authors identified a specific RPS4/RRS1 haplotype whose leucine-rich repeat substitutions compromise thermostable resistance. These results suggest that leveraging natural diversity can enable the engineering of climate‑resilient disease resistance.

The study used comparative transcriptomics of dorsal and ventral petals across development, alongside expression profiling in floral symmetry mutants, to identify genes linked to dorsal (AmCYC-dependent) and ventral (AmDIV-dependent) identities in Antirrhinum majus. In situ hybridisation validated axis‑specific and boundary‑localized expression patterns, revealing that a conserved NGATHA‑LIKE1‑BRASSINAZOLE‑RESISTANT1‑miR164 module has been co‑opted to regulate AmDIV targets and shape the corolla. These findings delineate regulatory modules coordinating dorsoventral and proximal‑distal patterning in zygomorphic flowers.

The study sequenced genomes of ericoid mycorrhiza‑forming liverworts and experimentally reconstituted the symbiosis, revealing a nutrient‑regulated state that supports intracellular colonization. Comparative transcriptomics identified an ancestral gene module governing intracellular symbiosis, and functional validation in Marchantia paleacea through genetic manipulation, phylogenetics, and transactivation assays confirmed its essential role. The findings suggest plants have retained and independently recruited this ancestral module for diverse intracellular symbioses.

In a two-year controlled-environment experiment, diploid and tetraploid individuals of wild-type and cultivar Marshall annual ryegrass (Lolium multiflorum) were grown under elevated CO2 (540 vs 800 ppm) and differing evapotranspiration regimes. Elevated CO2 increased total biomass by 44% across ploidy levels, and tetraploid wild-type plants matched the improved cultivar in growth and forage quality, indicating that chromosome manipulation and wild genetic resources can enhance climate resilience.

The study examined how polyploidy, hybridization, and incomplete lineage sorting affect phylogenetic reconstructions in the genus Packera, evaluating several published paralog‑processing pipelines. Results showed that the choice of orthology and paralog handling methods markedly altered tree topology, time‑calibrated phylogenies, biogeographic histories, and detection of ancient reticulation, underscoring the need for careful methodological selection alongside comprehensive taxon sampling.

The study combined hyperspectral reflectance, inverse PROSPECT modeling, and network analysis to evaluate functional leaf trait variation and detect local adaptation in four Streptanthus tortuosus populations grown in a common garden. High classification accuracy revealed heritable spectral signatures associated with anthocyanins, carotenoids, chlorophyll, and water content, while trait‑climate relationships and spectral network modularity shifted between historical and recent climate periods, indicating evolutionary responses in coordinated trait networks.

The study employed a portable near‑infrared spectrometer to longitudinally monitor sugar and acid dynamics in individual berries of ten grapevine varieties over two seasons, calibrating the spectra against HPLC measurements using partial least squares regression. The resulting models accurately predicted glucose, fructose, and malic acid levels, revealing that single berries ripen about twice as fast as aggregates, highlighting a precise quantitative approach for assessing berry ripening under climate change.