The study employed ultra large‑scale 2D clinostats to grow tomato (Solanum lycopersicum) plants beyond the seedling stage under simulated microgravity and upright control conditions across five sequential trials. Simulated microgravity consistently affected plant growth, but the magnitude and direction of the response varied among trials, with temperature identified as a significant co‑variant; moderate heat stress surprisingly enhanced growth under simulated microgravity. These results highlight the utility of large‑scale clinostats for dissecting interactions between environmental factors and simulated microgravity in plant development.

A diverse rice germplasm panel was screened for cold tolerance at seedling and reproductive stages using artificial cold-water tanks, natural field conditions, and controlled cold facilities, with performance evaluated via quantitative and qualitative traits. Several genotypes displayed stage-specific or combined tolerance, while others were consistently vulnerable, and PCA indicated overlapping yet distinct physiological mechanisms across environments, supporting the existence of stage-specific QTLs for cold resistance.

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 investigated metabolic responses of kale (Brassica oleracea) grown under simulated microgravity using a 2-D clinostat versus normal gravity conditions. LC‑MS data were analyzed with multivariate tools such as PCA and volcano plots to identify gravity‑related metabolic adaptations and potential molecular markers for spaceflight crop health.

The study assessed ten fruit morphological traits of ancient Cinnamomum camphora across 45 counties in Jiangxi Province, finding substantial phenotypic variation with 80.1% of variation among provenances. Using nested ANOVA, Pearson correlation, PCA, and cluster analysis, the authors linked trait differences to latitude, longitude, and climate, highlighting traits useful for germplasm selection and breeding.