Model aversiveness and the evolution of imperfect Batesian mimics

Pike, Thomas W. and Burman, Oliver H. P. (2023) Model aversiveness and the evolution of imperfect Batesian mimics. Behavioral Ecology, 34 (5). ISSN 1045-2249

Full content URL: https://doi.org/10.1093/beheco%2Farad063

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Item Type:Article
Item Status:Live Archive

Abstract

There are numerous examples of Batesian mimics that only imperfectly resemble their models. Given that inaccurate mimics are known to be predated more frequently than accurate ones, imperfect mimicry therefore poses something of a conundrum. One putative explanation, the relaxed selection hypothesis, predicts that when the cost of attacking a model is high relative to the benefit of consuming a mimic, selection against imperfect mimics will be relaxed, allowing mimics to be more imperfect for a given level of fitness. However, empirical support for this hypothesis is equivocal. Here, we report an experimental test of the relaxed selection hypothesis, in which human participants were tasked with discriminating between artificial stimuli representing models and mimics. In response to “attacking” a model (i.e., misclassifying it as palatable, or non-aversive) they received either a mild electric shock (high cost) or vibratory feedback (low cost). Consistent with the predictions of this hypothesis, we found that when the cost of attacking a model was high, mimetic phenotype could deviate more from the model (i.e., be more imperfect) for a given level of fitness than when the cost of attacking a model was low. Moreover, when the cost of attacking a model was high, participants showed an increased latency to attack. This finding shows that given sufficient costs, the relaxed selection hypothesis is a plausible explanation for the evolution of imperfect mimicry.

Keywords:adaptation, Batesian mimicry, colour pattern, predation
Subjects:C Biological Sciences > C300 Zoology
Divisions:COLLEGE OF HEALTH AND SCIENCE > School of Life and Environmental Sciences > Department of Life Sciences
ID Code:55648
Deposited On:15 Aug 2023 11:21

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