The study examined chromosomal evolution across 230 Andropogoneae species using literature/database surveys and phylogenetic analysis of complete plastome sequences, with Bayesian inference for ancestral state reconstruction. It found extensive chromosome-number variation (2n = 8–140), 30% polyploidy, and identified 2n = 20 as the likely ancestral state, highlighting the dynamic nature of chromosomal changes in the tribe.

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.

The study introduces a data-augmented adaptive multiple importance sampling (DA‑AMIS) framework that combines Bayesian inference with stochastic epidemic modeling to estimate transmission parameters of banana bunchy top virus from a small 24‑plant field experiment. Validation with independent BBTV trial data from Burundi and Malawi confirmed the robustness of the estimated primary and secondary infection rates, revealing a 12% infection risk from replanting suckers and pinpointing April as the period of peak infection for targeted surveillance.

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.