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 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.

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 used Arabidopsis thaliana mutants with low (vtc2, vtc4) and high (vtc2/OE-VTC2) ascorbate levels to examine how ascorbate concentration affects gene expression and cellular homeostasis. Transcriptomic analysis revealed that altered ascorbate levels modulate defense and stress pathways, and that TAA1/TAR2‑mediated auxin biosynthesis is required for coping with elevated ascorbate in a light‑dependent manner.