Title: | Compounds without borders: A mechanism for quantifying complex odors and responses to scent-pollution in bumblebees |
Address: | "Departments of Biology & Neuroscience, Muhlenberg College, Allentown, Pennsylvania, United States of America" |
DOI: | 10.1371/journal.pcbi.1007765 |
ISSN/ISBN: | 1553-7358 (Electronic) 1553-734X (Print) 1553-734X (Linking) |
Abstract: | Recent work has indicated that anthropogenic pollution of floral-scent may have negative impacts on bumblebee foraging behavior. We need quantitative tools to both measure how much pollution of a learned floral-odor bumblebees can tolerate and identify which scent-pollutants are problematic. This study used encoding characteristics of insect olfactory systems to develop a new paradigm for quantifying complex odors. This 'Compounds Without Borders' method builds multidimensional vectors of scents based on physiologically relevant physical characteristics of component odorant-compounds. The angular distance between CWB-vectors then provides a single quantitative variable describing how similar (or dissimilar) two complex odors are. This angular representation of odor similarity is predictive of bumblebees' behavior in an associative odor learning task |
Keywords: | "*Air Pollutants/analysis/chemistry Animals Appetitive Behavior/*physiology Bees/*physiology Computational Biology *Models, Biological Odorants/*analysis;" |
Notes: | "MedlineSprayberry, Jordanna D H eng 2020/04/23 PLoS Comput Biol. 2020 Apr 22; 16(4):e1007765. doi: 10.1371/journal.pcbi.1007765. eCollection 2020 Apr" |