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Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees

Many pollinating insects acquire their entire nutrition from visiting flowers, and they must therefore be efficient both at detecting flowers and at recognizing familiar rewarding flower types. A crucial first step in recognition is the identification of edges and the segmentation of the visual fiel...

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Autores principales: Vasas, Vera, Hanley, Daniel, Kevan, Peter G., Chittka, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389994/
https://www.ncbi.nlm.nih.gov/pubmed/28314998
http://dx.doi.org/10.1007/s00359-017-1156-x
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author Vasas, Vera
Hanley, Daniel
Kevan, Peter G.
Chittka, Lars
author_facet Vasas, Vera
Hanley, Daniel
Kevan, Peter G.
Chittka, Lars
author_sort Vasas, Vera
collection PubMed
description Many pollinating insects acquire their entire nutrition from visiting flowers, and they must therefore be efficient both at detecting flowers and at recognizing familiar rewarding flower types. A crucial first step in recognition is the identification of edges and the segmentation of the visual field into areas that belong together. Honeybees and bumblebees acquire visual information through three types of photoreceptors; however, they only use a single receptor type—the one sensitive to longer wavelengths—for edge detection and movement detection. Here, we show that these long-wavelength receptors (peak sensitivity at ~544 nm, i.e., green) provide the most consistent signals in response to natural objects. Using our multispectral image database of flowering plants, we found that long-wavelength receptor responses had, depending on the specific scenario, up to four times higher signal-to-noise ratios than the short- and medium-wavelength receptors. The reliability of the long-wavelength receptors emerges from an intricate interaction between flower coloration and the bee’s visual system. This finding highlights the adaptive significance of bees using only long-wavelength receptors to locate flowers among leaves, before using information provided by all three receptors to distinguish the rewarding flower species through trichromatic color vision. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00359-017-1156-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-53899942017-04-27 Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees Vasas, Vera Hanley, Daniel Kevan, Peter G. Chittka, Lars J Comp Physiol A Neuroethol Sens Neural Behav Physiol Original Paper Many pollinating insects acquire their entire nutrition from visiting flowers, and they must therefore be efficient both at detecting flowers and at recognizing familiar rewarding flower types. A crucial first step in recognition is the identification of edges and the segmentation of the visual field into areas that belong together. Honeybees and bumblebees acquire visual information through three types of photoreceptors; however, they only use a single receptor type—the one sensitive to longer wavelengths—for edge detection and movement detection. Here, we show that these long-wavelength receptors (peak sensitivity at ~544 nm, i.e., green) provide the most consistent signals in response to natural objects. Using our multispectral image database of flowering plants, we found that long-wavelength receptor responses had, depending on the specific scenario, up to four times higher signal-to-noise ratios than the short- and medium-wavelength receptors. The reliability of the long-wavelength receptors emerges from an intricate interaction between flower coloration and the bee’s visual system. This finding highlights the adaptive significance of bees using only long-wavelength receptors to locate flowers among leaves, before using information provided by all three receptors to distinguish the rewarding flower species through trichromatic color vision. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00359-017-1156-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-03-17 2017 /pmc/articles/PMC5389994/ /pubmed/28314998 http://dx.doi.org/10.1007/s00359-017-1156-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Vasas, Vera
Hanley, Daniel
Kevan, Peter G.
Chittka, Lars
Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title_full Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title_fullStr Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title_full_unstemmed Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title_short Multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
title_sort multispectral images of flowers reveal the adaptive significance of using long-wavelength-sensitive receptors for edge detection in bees
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389994/
https://www.ncbi.nlm.nih.gov/pubmed/28314998
http://dx.doi.org/10.1007/s00359-017-1156-x
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