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      Sensory adaptations reshaped intrinsic factors underlying morphological diversification in bats

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          Abstract

          Background

          Morphological evolution may be impacted by both intrinsic (developmental, constructional, physiological) and extrinsic (ecological opportunity and release) factors, but can intrinsic factors be altered by adaptive evolution and, if so, do they constrain or facilitate the subsequent diversification of biological form? Bats underwent deep adaptive divergences in skull shape as they evolved different sensory modes; here we investigate the potential impact of this process on two intrinsic factors that underlie morphological variation across organisms, allometry, and modularity.

          Results

          We use comparative phylogenetic and morphometric approaches to examine patterns of evolutionary allometry and modularity across a 3D geometric morphometric dataset spanning all major bat clades. We show that allometric relationships diverge between echolocators and visually oriented non-echolocators and that the evolution of nasal echolocation reshaped the modularity of the bat cranium.

          Conclusions

          Shifts in allometry and modularity may have significant consequences on the diversification of anatomical structures, as observed in the bat skull.

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          Most cited references76

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

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            Ecological opportunity and the origin of adaptive radiations.

            Ecological opportunity--through entry into a new environment, the origin of a key innovation or extinction of antagonists--is widely thought to link ecological population dynamics to evolutionary diversification. The population-level processes arising from ecological opportunity are well documented under the concept of ecological release. However, there is little consensus as to how these processes promote phenotypic diversification, rapid speciation and adaptive radiation. We propose that ecological opportunity could promote adaptive radiation by generating specific changes to the selective regimes acting on natural populations, both by relaxing effective stabilizing selection and by creating conditions that ultimately generate diversifying selection. We assess theoretical and empirical evidence for these effects of ecological opportunity and review emerging phylogenetic approaches that attempt to detect the signature of ecological opportunity across geological time. Finally, we evaluate the evidence for the evolutionary effects of ecological opportunity in the diversification of Caribbean Anolis lizards. Some of the processes that could link ecological opportunity to adaptive radiation are well documented, but others remain unsupported. We suggest that more study is required to characterize the form of natural selection acting on natural populations and to better describe the relationship between ecological opportunity and speciation rates.
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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

                Contributors
                ssantana@uw.edu
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                30 April 2021
                30 April 2021
                2021
                : 19
                : 88
                Affiliations
                [1 ]GRID grid.260001.5, ISNI 0000 0001 2111 6385, Present Address: Department of Biology, , Middle Tennessee State University, ; Murfreesboro, TN 37132 USA
                [2 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Biology, , University of Washington, ; Seattle, Washington 98195 USA
                [3 ]GRID grid.34477.33, ISNI 0000000122986657, Burke Museum of Natural History and Culture, , University of Washington, ; Seattle, Washington 98195 USA
                Author information
                http://orcid.org/0000-0001-6463-3569
                Article
                1022
                10.1186/s12915-021-01022-3
                8086122
                33931060
                b75d71bb-215a-49bc-aa54-16e947039e69
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 October 2020
                : 1 April 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000154, Division of Integrative Organismal Systems;
                Award ID: 1557125
                Funded by: NSERC
                Funded by: FundRef http://dx.doi.org/10.13039/100005835, American Museum of Natural History;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Life sciences
                modularity,allometry,comparative phylogenetics,geometric morphometrics,echolocation,skull

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