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Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection

It is known that honeybees use vibrational communication pathways to transfer information. One honeybee signal that has been previously investigated is the short vibrational pulse named the ‘stop signal’, because its inhibitory effect is generally the most accepted interpretation. The present study...

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Detalles Bibliográficos
Autores principales: Ramsey, Michael, Bencsik, Martin, Newton, Michael I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298260/
https://www.ncbi.nlm.nih.gov/pubmed/28178291
http://dx.doi.org/10.1371/journal.pone.0171162
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author Ramsey, Michael
Bencsik, Martin
Newton, Michael I.
author_facet Ramsey, Michael
Bencsik, Martin
Newton, Michael I.
author_sort Ramsey, Michael
collection PubMed
description It is known that honeybees use vibrational communication pathways to transfer information. One honeybee signal that has been previously investigated is the short vibrational pulse named the ‘stop signal’, because its inhibitory effect is generally the most accepted interpretation. The present study demonstrates long term (over 9 months) automated in-situ non-invasive monitoring of a honeybee vibrational pulse with the same characteristics of what has previously been described as a stop signal using ultra-sensitive accelerometers embedded in the honeycomb located at the heart of honeybee colonies. We show that the signal is very common and highly repeatable, occurring mainly at night with a distinct decrease in instances towards midday, and that it can be elicited en masse from bees following the gentle shaking or knocking of their hive with distinct evidence of habituation. The results of our study suggest that this vibrational pulse is generated under many different circumstances, thereby unifying previous publication’s conflicting definitions, and we demonstrate that this pulse can be generated in response to a surprise stimulus. This work suggests that, using an artificial stimulus and monitoring the changes in the features of this signal could provide a sensitive tool to assess colony status.
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spelling pubmed-52982602017-02-17 Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection Ramsey, Michael Bencsik, Martin Newton, Michael I. PLoS One Research Article It is known that honeybees use vibrational communication pathways to transfer information. One honeybee signal that has been previously investigated is the short vibrational pulse named the ‘stop signal’, because its inhibitory effect is generally the most accepted interpretation. The present study demonstrates long term (over 9 months) automated in-situ non-invasive monitoring of a honeybee vibrational pulse with the same characteristics of what has previously been described as a stop signal using ultra-sensitive accelerometers embedded in the honeycomb located at the heart of honeybee colonies. We show that the signal is very common and highly repeatable, occurring mainly at night with a distinct decrease in instances towards midday, and that it can be elicited en masse from bees following the gentle shaking or knocking of their hive with distinct evidence of habituation. The results of our study suggest that this vibrational pulse is generated under many different circumstances, thereby unifying previous publication’s conflicting definitions, and we demonstrate that this pulse can be generated in response to a surprise stimulus. This work suggests that, using an artificial stimulus and monitoring the changes in the features of this signal could provide a sensitive tool to assess colony status. Public Library of Science 2017-02-08 /pmc/articles/PMC5298260/ /pubmed/28178291 http://dx.doi.org/10.1371/journal.pone.0171162 Text en © 2017 Ramsey et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ramsey, Michael
Bencsik, Martin
Newton, Michael I.
Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title_full Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title_fullStr Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title_full_unstemmed Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title_short Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
title_sort long-term trends in the honeybee ‘whooping signal’ revealed by automated detection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298260/
https://www.ncbi.nlm.nih.gov/pubmed/28178291
http://dx.doi.org/10.1371/journal.pone.0171162
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