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      Diverse Cretaceous larvae reveal the evolutionary and behavioural history of antlions and lacewings

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          Abstract

          Myrmeleontiformia are an ancient group of lacewing insects characterized by predatory larvae with unusual morphologies and behaviours. Mostly soil dwellers with a soft cuticle, their larvae fossilize only as amber inclusions, and thus their fossil record is remarkably sparse. Here, we document a disparate assemblage of myrmeleontiform larvae from the mid-Cretaceous amber (99 Ma) of Myanmar, evidence of a considerable diversification. Our cladistic analysis integrating extant and extinct taxa resolves the fossils as both stem- and crown-groups. Similarities between extinct and extant species permit inferences of larval ethology of the fossil species through statistical correlation analyses with high support, implying that morphological disparity matched behavioural diversity. An improved understanding of the evolutionary history of antlions and relatives supports the conclusion that hunting strategies, such as camouflage and fossoriality, were acquired early within the lineage.

          Abstract

          Larvae of the Myrmeleontiformia, which include antlions, are not well preserved in much of the fossil record. Here, Badano et al. describe a collection of predatory myrmeleontiform larvae from Cretaceous amber, resolving their evolutionary relationships and inferring their ecology.

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          Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo.

          We describe a Bayesian method for investigating correlated evolution of discrete binary traits on phylogenetic trees. The method fits a continuous-time Markov model to a pair of traits, seeking the best fitting models that describe their joint evolution on a phylogeny. We employ the methodology of reversible-jump (RJ) Markov chain Monte Carlo to search among the large number of possible models, some of which conform to independent evolution of the two traits, others to correlated evolution. The RJ Markov chain visits these models in proportion to their posterior probabilities, thereby directly estimating the support for the hypothesis of correlated evolution. In addition, the RJ Markov chain simultaneously estimates the posterior distributions of the rate parameters of the model of trait evolution. These posterior distributions can be used to test among alternative evolutionary scenarios to explain the observed data. All results are integrated over a sample of phylogenetic trees to account for phylogenetic uncertainty. We implement the method in a program called RJ Discrete and illustrate it by analyzing the question of whether mating system and advertisement of estrus by females have coevolved in the Old World monkeys and great apes.
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            Fossiliferous Cretaceous Amber from Myanmar (Burma): Its Rediscovery, Biotic Diversity, and Paleontological Significance

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              On wings of lace: phylogeny and Bayesian divergence time estimates of Neuropterida (Insecta) based on morphological and molecular data

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                Author and article information

                Contributors
                davide.badano@gmail.com
                bowang@nigpas.ac.cn
                pierfilippo.cerretti@uniroma1.it
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 August 2018
                22 August 2018
                2018
                : 9
                : 3257
                Affiliations
                [1 ]ISNI 0000 0001 2151 3065, GRID grid.5606.5, Dipartimento di Scienze della Terra, dell’Ambiente e della Vita, , Università degli studi di Genova, ; Corso Europa 26, 16132 Genoa, Italy
                [2 ]ISNI 0000 0001 2106 0692, GRID grid.266515.3, Division of Entomology, Natural History Museum, and Department of Ecology & Evolutionary Biology, , University of Kansas, ; Lawrence, KS 66045 USA
                [3 ]ISNI 0000 0001 2152 1081, GRID grid.241963.b, Division of Invertebrate Zoology, , American Museum of Natural History, ; New York, NY 10024 USA
                [4 ]Laboratory of Genomics, DAFNAE, Agripolis–University of Padova, Viale dell’Università 16, 35020 Legnaro, Italy
                [5 ]ISNI 0000000119573309, GRID grid.9227.e, State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology and Center for Excellence in Life and Paleoenvironment, , Chinese Academy of Sciences, ; 39 East Beijing Road, Nanjing, 210008 China
                [6 ]ISNI 0000000119573309, GRID grid.9227.e, Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, , Chinese Academy of Sciences, ; Beijing, 100101 China
                [7 ]GRID grid.7841.a, Dipartimento di Biologia e Biotecnologie “Charles Darwin”, , Sapienza Università di Roma, ; Piazzale A. Moro 5, 00185 Rome, Italy
                Author information
                http://orcid.org/0000-0001-9715-3107
                http://orcid.org/0000-0003-3067-077X
                http://orcid.org/0000-0001-6784-7271
                http://orcid.org/0000-0002-8001-9937
                http://orcid.org/0000-0002-9204-3352
                Article
                5484
                10.1038/s41467-018-05484-y
                6105666
                30135436
                680eb54c-e96b-48f3-82a5-000782bdcd4b
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 January 2018
                : 5 July 2018
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