A cognitive analysis of deceptive pollination: associative mechanisms underlying pollinators' choices in non-rewarding colour polymorphic scenarios.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
11 06 2020
Historique:
received: 31 03 2020
accepted: 19 05 2020
entrez: 13 6 2020
pubmed: 13 6 2020
medline: 1 12 2020
Statut: epublish

Résumé

Intraspecific floral colour polymorphism is a common trait of food deceptive orchids, which lure pollinators with variable, attractive signals, without providing food resources. The variable signals are thought to hinder avoidance learning of deceptive flowers by pollinators. Here, we analysed the cognitive mechanisms underlying the choice of free-flying stingless bees Scaptotrigona aff. depilis trained to visit a patch of artificial flowers that displayed the colours of Ionopsis utricularioides, a food deceptive orchid. Bees were trained in the presence of a non-rewarding colour and later tested with that colour vs. alternative colours. We simulated a discrete-polymorphism scenario with two distinct non-rewarding test colours, and a continuous-polymorphism scenario with three non-rewarding test colours aligned along a chromatic continuum. Bees learned to avoid the non-rewarding colour experienced during training. They thus preferred the novel non-rewarding colour in the discrete-polymorphic situation, and generalized their avoidance to the adjacent colour of the continuum in the continuous-polymorphism situation, favouring thereby the most distant colour. Bees also visited less flowers and abandoned faster a non-rewarding monomorphic patch than a non-rewarding polymorphic patch. Our cognitive analyses thus reveal that variable deceptive orchids disrupt avoidance learning by pollinators and exploit their generalization abilities, which make them favour distinct morphs.

Identifiants

pubmed: 32528048
doi: 10.1038/s41598-020-66356-4
pii: 10.1038/s41598-020-66356-4
pmc: PMC7290031
doi:

Banques de données

figshare
['10.6084/m9.figshare.12311135']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9476

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Auteurs

João Marcelo Robazzi Bignelli Valente Aguiar (JMRBV)

Programa de Pós-Graduação em Ecologia, Instituto de Biologia, Universidade Estadual de Campinas, 6109, Avenida Bertrand Russel, s/n, Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas, 13083-865, São Paulo, Brazil. jmrobazzi@gmail.com.
Research Centre on Animal Cognition, Center for Integrative Biology, CNRS, University of Toulouse, F-31062, Toulouse, Cedex 09, France. jmrobazzi@gmail.com.

Martin Giurfa (M)

Research Centre on Animal Cognition, Center for Integrative Biology, CNRS, University of Toulouse, F-31062, Toulouse, Cedex 09, France.
College of Animal Science (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Institut Universitaire de France, Toulouse, France.

Marlies Sazima (M)

Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, 6109, Avenida Bertrand Russel, s/n, Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas, 13083-865, São Paulo, Brazil.

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