Evidence map›Paper›PMID 32528048›Full record

ArticleScientific reports2020

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

João Marcelo Robazzi Bignelli Valente Aguiar, Martin Giurfa, Marlies Sazima

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Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

João Marcelo Robazzi Bignelli Valente AguiarPrograma 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.ORCID http://orcid.org/0000-0001-7746-9454
Martin GiurfaResearch Centre on Animal Cognition, Center for Integrative Biology, CNRS, University of Toulouse, F-31062, Toulouse, Cedex 09, France.ORCID http://orcid.org/0000-0001-7173-769X
Marlies SazimaDepartamento 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AnimalsAvoidance LearningBeesCognitionColorFeeding BehaviorFlowersOrchidaceaePollenPollination

Identifiers

PMID32528048
PMCPMC7290031

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.