Literature DB >> 27117779

Mimicry for all modalities.

Anastasia H Dalziell1,2,3, Justin A Welbergen3.   

Abstract

Mimicry is a canonical example of adaptive signal design. In principle, what constitutes mimicry is independent of the taxonomic identity of the mimic, the ecological context in which it operates, and the sensory modality through which it is expressed. However, in practice the study of mimicry is inconsistent across research fields, with theoretical and empirical advances often failing to cross taxonomic and sensory divides. We propose a novel conceptual framework whereby mimicry evolves if a receiver perceives the similarity between a mimic and a model and as a result confers a selective benefit onto the mimic. Here, misidentification and/or deception are no longer formal requirements, and mimicry can evolve irrespective of the underlying proximate mechanisms. The centrality of receiver perception in this framework enables us to formally distinguish mimicry from perceptual exploitation and integrate mimicry and multicomponent signalling theory for the first time. In addition, it resolves inconsistencies in our understanding of the role of learning in mimicry evolution, and shows that imperfect mimicry is expected to be the norm. Mimicry remains a key model for understanding signal evolution and cognition, and we recommend the adoption of a unified approach to stimulate future interdisciplinary developments in this fascinating area of research.
© 2016 John Wiley & Sons Ltd/CNRS.

Keywords:  Deception; imperfect mimicry; learning; mimicry; multicomponent signal; multimodal signal; percept; perceptual exploitation; receiver psychology; sensory exploitation

Mesh:

Year:  2016        PMID: 27117779     DOI: 10.1111/ele.12602

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  14 in total

Review 1.  Signals, cues and the nature of mimicry.

Authors:  Gabriel A Jamie
Journal:  Proc Biol Sci       Date:  2017-02-22       Impact factor: 5.349

2.  Sexual Deception in the Eucera-Pollinated Ophrys leochroma: A Chemical Intermediate between Wasp- and Andrena-Pollinated Species.

Authors:  Monica Cuervo; Demetra Rakosy; Carlos Martel; Stefan Schulz; Manfred Ayasse
Journal:  J Chem Ecol       Date:  2017-05-23       Impact factor: 2.626

3.  How cognitive biases select for imperfect mimicry: a study of asymmetry in learning with bumblebees.

Authors:  David W Kikuchi; Anna Dornhaus
Journal:  Anim Behav       Date:  2018-09-21       Impact factor: 2.844

4.  Deceptive vocal duets and multimodal display in a songbird.

Authors:  Paweł Ręk; Robert D Magrath
Journal:  Proc Biol Sci       Date:  2017-10-11       Impact factor: 5.349

5.  Masquerading as pea plants: behavioural and morphological evidence for mimicry of multiple models in an Australian orchid.

Authors:  Daniela Scaccabarozzi; Salvatore Cozzolino; Lorenzo Guzzetti; Andrea Galimberti; Lynne Milne; Kingsley W Dixon; Ryan D Phillips
Journal:  Ann Bot       Date:  2018-11-30       Impact factor: 4.357

6.  When honesty and cheating pay off: the evolution of honest and dishonest equilibria in a conventional signalling game.

Authors:  Szabolcs Számadó
Journal:  BMC Evol Biol       Date:  2017-12-28       Impact factor: 3.260

7.  A Quantitative Analysis of Micrurus Coral Snakes Reveals Unexpected Variation in Stereotyped Anti-Predator Displays Within a Mimicry System.

Authors:  T Y Moore; S M Danforth; J G Larson; A R Davis Rabosky
Journal:  Integr Org Biol       Date:  2020-03-02

8.  Genetic mechanisms and correlational selection structure trait variation in a coral snake mimic.

Authors:  John David Curlis; Alison R Davis Rabosky; Iris A Holmes; Timothy J Renney; Christian L Cox
Journal:  Proc Biol Sci       Date:  2021-03-17       Impact factor: 5.349

9.  Evolutionary origins of vocal mimicry in songbirds.

Authors:  Maria Goller; Daizaburo Shizuka
Journal:  Evol Lett       Date:  2018-06-22

10.  A matter of proportion? Associational effects in larval anuran communities under fish predation.

Authors:  Jan M Kaczmarek; Mikołaj Kaczmarski; Jan Mazurkiewicz; Janusz Kloskowski
Journal:  Oecologia       Date:  2018-04-30       Impact factor: 3.225

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