Literature DB >> 11586357

Multiple benefits of gregariousness cover detectability costs in aposematic aggregations.

M Riipi1, R V Alatalo, L Lindström, J Mappes.   

Abstract

Understanding the early evolution of aposematic (warning) coloration has been a challenge for scientists, as a new conspicuous morph in a population of cryptic insects would have a high predation risk and would probably die out before local predators learnt to avoid it. Fisher presented the idea of aggregation benefit through the survival of related individuals; however, his theory has been strongly debated as the mechanisms that favour grouping have never been explored experimentally with the incorporation of detectability costs. Here we create a comprehensive 'novel world' experiment with the great tit (Parus major) as a predator to explore simultaneously the predation-related benefits and costs for aposematic aggregated prey, manipulating both group size and signal strength. Our results show that grouping would have been highly beneficial for the first aposematic prey individuals surrounded by naive predators, because (1) detectability risk increased only asymptotically with group size; (2) additional detectability costs due to conspicuous signals were marginal in groups; (3) even naive predators deserted the group after detecting unpalatability (dilution effect); and (4) avoidance learning of signal was faster in groups. None of these mechanisms require kin selection.

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Year:  2001        PMID: 11586357     DOI: 10.1038/35097061

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  40 in total

1.  A role for phenotypic plasticity in the evolution of aposematism.

Authors:  Gregory A Sword
Journal:  Proc Biol Sci       Date:  2002-08-22       Impact factor: 5.349

2.  The importance of pattern similarity between Müllerian mimics in predator avoidance learning.

Authors:  Candy Rowe; Leena Lindström; Anne Lyytinen
Journal:  Proc Biol Sci       Date:  2004-02-22       Impact factor: 5.349

3.  A within-species warning function for an aposematic signal.

Authors:  Daniel R Papaj; Ginny M Newsom
Journal:  Proc Biol Sci       Date:  2005-12-07       Impact factor: 5.349

4.  Avian predators attack aposematic prey more forcefully when they are part of an aggregation.

Authors:  John Skelhorn; Graeme D Ruxton
Journal:  Biol Lett       Date:  2006-12-22       Impact factor: 3.703

Review 5.  Aggregation, defence and warning signals: the evolutionary relationship.

Authors:  Graeme D Ruxton; Thomas N Sherratt
Journal:  Proc Biol Sci       Date:  2006-10-07       Impact factor: 5.349

6.  Defensive allomones function as aggregation pheromones in diapausing Ladybird Beetles, Hippodamia convergens.

Authors:  Christopher A Wheeler; Ring T Cardé
Journal:  J Chem Ecol       Date:  2013-05-09       Impact factor: 2.626

7.  Trade-off between warning signal efficacy and mating success in the wood tiger moth.

Authors:  Ossi Nokelainen; Robert H Hegna; Joanneke H Reudler; Carita Lindstedt; Johanna Mappes
Journal:  Proc Biol Sci       Date:  2011-06-08       Impact factor: 5.349

Review 8.  Antipredator strategies of pupae: how to avoid predation in an immobile life stage?

Authors:  Carita Lindstedt; Liam Murphy; Johanna Mappes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-08-26       Impact factor: 6.237

9.  Why has transparency evolved in aposematic butterflies? Insights from the largest radiation of aposematic butterflies, the Ithomiini.

Authors:  Melanie McClure; Corentin Clerc; Charlotte Desbois; Aimilia Meichanetzoglou; Marion Cau; Lucie Bastin-Héline; Javier Bacigalupo; Céline Houssin; Charline Pinna; Bastien Nay; Violaine Llaurens; Serge Berthier; Christine Andraud; Doris Gomez; Marianne Elias
Journal:  Proc Biol Sci       Date:  2019-04-24       Impact factor: 5.349

10.  Ecological conditions alter cooperative behaviour and its costs in a chemically defended sawfly.

Authors:  Carita Lindstedt; Antti Miettinen; Dalial Freitak; Tarmo Ketola; Andres López-Sepulcre; Elina Mäntylä; Hannu Pakkanen
Journal:  Proc Biol Sci       Date:  2018-08-01       Impact factor: 5.349

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