Although bumblebees are often considered generalist pollinators, this research shows that different species—and even males and females—prefer specific flowers and scents. By studying floral scent chemistry and bee visitation patterns, the work improves understanding of bee–plant interactions and supports conservation efforts aimed at protecting declining bee populations.

This project uses hive sound recordings and machine learning to detect early signs of bee swarming. By identifying acoustic differences between swarming and stable colonies, the system predicts swarming with 93% accuracy. This enables beekeepers to intervene early, prevent colony loss, and even create new healthy colonies.

This research examines whether addictive plant alkaloids like caffeine, nicotine, and morphine alter pollinator behavior. Using robotic flowers, it shows bees prefer drug-spiked nectar, learn cues faster, and may make suboptimal feeding choices. The work explores whether pollinators can develop dependency or withdrawal, suggesting plants may chemically manipulate their pollinators.

Varroa mites—long assumed to feed on bee blood—actually consume the honeybee’s fat body, a vital organ responsible for immunity, detoxification, and metabolism. Using fluorescent staining and artificial “decoy bees,” the study shows Varroa require fat body to survive and reproduce. Targeting this tissue could revolutionize strategies to protect collapsing honeybee populations.

This research examines how honeybee queens adjust egg size in response to their environment. Queens in food-rich urban areas lay smaller eggs, while those in rural areas lay eggs 45% larger, producing bees that forage earlier and more often. These findings can guide beekeeping and support pollinator health, crucial for global food supply.