Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractThe effect of olfactory exposure to non-insecticidal agrochemicals on bumblebee foraging behavior    Next AbstractChemical and bioactive characterization of the aromatic plant Levisticum officinale W.D.J. Koch: a comprehensive study »

PLoS Comput Biol


Title:Compounds without borders: A mechanism for quantifying complex odors and responses to scent-pollution in bumblebees
Author(s):Sprayberry JDH;
Address:"Departments of Biology & Neuroscience, Muhlenberg College, Allentown, Pennsylvania, United States of America"
Journal Title:PLoS Comput Biol
Year:2020
Volume:20200422
Issue:4
Page Number:e1007765 -
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"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 01-07-2024