Related Experiment Video
Updated: May 14, 2026

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees (Apis mellifera L.)
Published on: December 12, 2012
Bumblebee queens are better at olfactory learning and more sensitive to scents than workers
Melanie G Kimball1, Felicity Muth1
1Department of Neurobiology, Physiology, and Behavior, University of California Davis, Davis, CA95616, USA.
None:
Intraspecific variation in cognition can reflect ecological demands, yet cognitive performance can be driven by non-cognitive processes. Bumblebees have been a long-standing model in the study of cognition for their aptitude at learning associations, but nearly all research has been limited to one life stage: foraging workers. Queen bumblebees also forage, and previous work shows that they learn visual associations with fewer errors than workers, offering a useful comparison of the drivers of variation in cognition. Here, we tested whether queens' better learning performance holds across another modality: olfaction, and whether performance could be driven by non-cognitive variables related to their larger size including peripheral sensitivity. We first assessed olfactory learning in wild Bombus vosnesenskii and found that queens learned with fewer errors than workers. Following additional training and sensitivity tests, queens and workers did not differ, ruling out non-cognitive variables as driving learning differences in this context. In a second experiment, we tested scent sensitivity under more controlled conditions in Bombus impatiens and found that queens were more sensitive. Our findings confirm learning differences between bumblebee castes and show that queens also have greater peripheral sensitivity, hinting at adaptive drivers of these intraspecific differences.
More Related Videos
10:31A Proboscis Extension Response Protocol for Investigating Behavioral Plasticity in Insects: Application to Basic, Biomedical, and Agricultural Research
Published on: September 8, 2014
08:13SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
Published on: December 25, 2017