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      Insect mimicry of plants dates back to the Permian

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          Abstract

          In response to predation pressure, some insects have developed spectacular plant mimicry strategies (homomorphy), involving important changes in their morphology. The fossil record of plant mimicry provides clues to the importance of predation pressure in the deep past. Surprisingly, to date, the oldest confirmed records of insect leaf mimicry are Mesozoic. Here we document a crucial step in the story of adaptive responses to predation by describing a leaf-mimicking katydid from the Middle Permian. Our morphometric analysis demonstrates that leaf-mimicking wings of katydids can be morphologically characterized in a non-arbitrary manner and shows that the new genus and species Permotettigonia gallica developed a mimicking pattern of forewings very similar to those of the modern leaf-like katydids. Our finding suggests that predation pressure was already high enough during the Permian to favour investment in leaf mimicry.

          Abstract

          Many insects mimic plants in order to avoid detection by predators. Here, Garrouste and colleagues describe a katydid fossil that extends the record of leaf mimicry to the Middle Permian, more than 100 million years earlier than previously known fossil specimens of plant mimicry.

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          Most cited references26

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          Linear Discrimination, Ordination, and the Visualization of Selection Gradients in Modern Morphometrics

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            History of Insects

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              Disruptive coloration, crypsis and edge detection in early visual processing.

              Many animals use concealing markings to reduce the risk of predation. These include background pattern matching (crypsis), where the coloration matches a random sample of the background and disruptive patterns, whose effectiveness has been hypothesized to lie in breaking up the body into a series of apparently unrelated objects. We have previously established the effectiveness of disruptive coloration against avian predators, using artificial moth-like stimuli with colours designed to match natural backgrounds as perceived by birds. Here, we investigate the mechanism by which disruptive patterns reduce detectability, using a computational vision model of edge detection applied to photographs of our experimental stimuli, calibrated for bird colour vision. We show that, disruptive coloration is effective by exploiting edge detection algorithms that we use to model early visual processing. Thus, 'false' edges are detected within the body rather than at its periphery, so inhibiting successful detection of the animal's body outline.

                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                20 December 2016
                2016
                : 7
                : 13735
                Affiliations
                [1 ]Institut de Systématique, Évolution, Biodiversité, ISYEB, UMR 7205, CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités , 57 rue Cuvier, CP 50, Entomologie, F-75005, Paris, France
                [2 ]INCI, UPR 3212 CNRS, Université de Strasbourg , 8 rue Blaise Pascal, 67084 Strasbourg, France
                [3 ]Mines and Avenir, Les Albrands , F-05380 Châteauroux Les Alpes, France
                [4 ]Centre de Recherches en Paléobiodiversité et Paléoenvironnements, UMR 7202—CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités , 8 rue Buffon, CP 38, F-75005 Paris, France
                Author notes
                [*]

                These authors contributed equally to this work

                [†]

                These authors jointly supervised this work

                Article
                ncomms13735
                10.1038/ncomms13735
                5187432
                27996977
                81fe0b1a-887a-463b-b380-9948d2bc2afd
                Copyright © 2016, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 04 July 2016
                : 28 October 2016
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