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      Convergent Anuran Middle Ear Loss Lacks a Universal, Adaptive Explanation

      research-article
      a , , b
      Brain, Behavior and Evolution
      S. Karger AG
      Earless, Frog, Maladaptation, Nonadaptive

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          Abstract

          Introduction

          Shared selection pressures often explain convergent trait loss, yet anurans (frogs and toads) have lost their middle ears at least 38 times with no obvious shared selection pressures unifying “earless” taxa. Anuran tympanic middle ear loss is especially perplexing because acoustic communication is dominant within Anura and tympanic middle ears enhance airborne hearing in most tetrapods.

          Methods

          Here, we use phylogenetic comparative methods to examine whether particular geographic ranges, microhabitats, activity patterns, or aspects of acoustic communication are associated with anuran tympanic middle ear loss.

          Results

          Although we find some differences between the geographic ranges of eared and earless species on average, there is plenty of overlap between the geographic distributions of eared and earless species. Additionally, we find a higher prevalence of diurnality in earless species, but not all earless species are diurnal. We find no universal adaptive explanation for the many instances of anuran tympanic middle ear loss.

          Conclusion

          The puzzling lack of universally shared selection pressures among earless species motivates discussion of alternative hypotheses, including genetic or developmental constraints, and the possibility that tympanic middle ear loss is maladaptive.

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          Most cited references92

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          phytools: an R package for phylogenetic comparative biology (and other things)

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            geiger v2.0: an expanded suite of methods for fitting macroevolutionary models to phylogenetic trees.

            Phylogenetic comparative methods are essential for addressing evolutionary hypotheses with interspecific data. The scale and scope of such data have increased dramatically in the past few years. Many existing approaches are either computationally infeasible or inappropriate for data of this size. To address both of these problems, we present geiger v2.0, a complete overhaul of the popular R package geiger. We have reimplemented existing methods with more efficient algorithms and have developed several new approaches for accomodating heterogeneous models and data types.
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              GEIGER: investigating evolutionary radiations.

              GEIGER is a new software package, written in the R language, to describe evolutionary radiations. GEIGER can carry out simulations, parameter estimation and statistical hypothesis testing. Additionally, GEIGER's simulation algorithms can be used to analyze the statistical power of comparative approaches. This open source software is written entirely in the R language and is freely available through the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/.
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                Author and article information

                Journal
                Brain Behav Evol
                Brain Behav Evol
                BBE
                BBE
                Brain, Behavior and Evolution
                S. Karger AG (Basel, Switzerland )
                0006-8977
                1421-9743
                1 November 2023
                February 2024
                : 98
                : 6
                : 290-301
                Affiliations
                [a ]Biology Department, Utah State University, Logan, UT, USA
                [b ]Biology Department, Colorado State University, Fort Collins, CO, USA
                Author notes
                Correspondence to: Molly C. Womack, molly.womack@ 123456usu.edu
                Article
                534936
                10.1159/000534936
                10885836
                37913755
                0b69bd5c-892a-4c63-b6dc-0ab386bb8e0b
                © 2023 The Author(s). Published by S. Karger AG, Basel

                This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC) ( http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission.

                History
                : 2 August 2023
                : 27 October 2023
                : 2023
                Page count
                Figures: 3, Tables: 1, References: 82, Pages: 12
                Funding
                We thank Utah State University start-up and National Science Foundation BRC-BIO 2218191 to M.C.W. as well as National Science Foundation CAREER – IOS 1350346 and OPUS – DEB 1911619 to K.L.H. for funding.
                Categories
                Original Paper

                earless,frog,maladaptation,nonadaptive
                earless, frog, maladaptation, nonadaptive

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