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Dynamic antennal positioning allows honeybee followers to decode the dance.
Hadjitofi, Anna; Webb, Barbara.
Afiliación
  • Hadjitofi A; School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK. Electronic address: a.hadjitofi@ed.ac.uk.
  • Webb B; School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK. Electronic address: b.webb@ed.ac.uk.
Curr Biol ; 34(8): 1772-1779.e4, 2024 04 22.
Article en En | MEDLINE | ID: mdl-38479387
ABSTRACT
The honeybee waggle dance has been widely studied as a communication system, yet we know little about how nestmates assimilate the information needed to navigate toward the signaled resource. They are required to detect the dancer's orientation relative to gravity and duration of the waggle phase and translate this into a flight vector with a direction relative to the sun1 and distance from the hive.2,3 Moreover, they appear capable of doing so from varied, dynamically changing positions around the dancer. Using high-speed, high-resolution video, we have uncovered a previously unremarked correlation between antennal position and the relative body axes of dancer and follower bees. Combined with new information about antennal inputs4,5 and spatial encoding in the insect central complex,6,7 we show how a neural circuit first proposed to underlie path integration could be adapted to decoding the dance and acquiring the signaled information as a flight vector that can be followed to the resource. This provides the first plausible account of how the bee brain could support the interpretation of its dance language.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Comunicación Animal / Antenas de Artrópodos Límite: Animals Idioma: En Revista: Curr Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Comunicación Animal / Antenas de Artrópodos Límite: Animals Idioma: En Revista: Curr Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido