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      Disproportionate extinction of South American mammals drove the asymmetry of the Great American Biotic Interchange

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          Significance

          The biological interchange between North and South America associated with the formation of the Isthmus of Panama is key to defining current gradients of species diversity. A major gap in our understanding of the interchange is its asymmetry, where mammals of North American origin attained higher diversity in South America than vice versa. The prevailing view is that this asymmetry resulted from higher origination of immigrant mammals in South America. In contrast, we find that asymmetry results from high extinction of native mammals in South America, which reduced the diversity of native mammals available to disperse northwards. These results shed light on the legacy of the biotic interchange to understand the current patterns of species diversity across the Americas.

          Abstract

          The interchange between the previously disconnected faunas of North and South America was a massive experiment in biological invasion. A major gap in our understanding of this invasion is why there was a drastic increase in the proportion of mammals of North American origin found in South America. Four nonmutually exclusive mechanisms may explain this asymmetry: 1) Higher dispersal rate of North American mammals toward the south, 2) higher origination of North American immigrants in South America, 3) higher extinction of mammals with South American origin, and 4) similar dispersal rate but a larger pool of native taxa in North versus South America. We test among these mechanisms by analyzing ∼20,000 fossil occurrences with Bayesian methods to infer dispersal and diversification rates and taxonomic selectivity of immigrants. We find no differences in the dispersal and origination rates of immigrants. In contrast, native South American mammals show higher extinction. We also find that two clades with North American origin (Carnivora and Artiodactyla) had significantly more immigrants in South America than other clades. Altogether, the asymmetry of the interchange was not due to higher origination of immigrants in South America as previously suggested, but resulted from higher extinction of native taxa in southern South America. These results from one of the greatest biological invasions highlight how biogeographic processes and biotic interactions can shape continental diversity.

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          Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

          Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
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            A proposed unified framework for biological invasions.

            There has been a dramatic growth in research on biological invasions over the past 20 years, but a mature understanding of the field has been hampered because invasion biologists concerned with different taxa and different environments have largely adopted different model frameworks for the invasion process, resulting in a confusing range of concepts, terms and definitions. In this review, we propose a unified framework for biological invasions that reconciles and integrates the key features of the most commonly used invasion frameworks into a single conceptual model that can be applied to all human-mediated invasions. The unified framework combines previous stage-based and barrier models, and provides a terminology and categorisation for populations at different points in the invasion process. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Amazonia through time: Andean uplift, climate change, landscape evolution, and biodiversity.

              The Amazonian rainforest is arguably the most species-rich terrestrial ecosystem in the world, yet the timing of the origin and evolutionary causes of this diversity are a matter of debate. We review the geologic and phylogenetic evidence from Amazonia and compare it with uplift records from the Andes. This uplift and its effect on regional climate fundamentally changed the Amazonian landscape by reconfiguring drainage patterns and creating a vast influx of sediments into the basin. On this "Andean" substrate, a region-wide edaphic mosaic developed that became extremely rich in species, particularly in Western Amazonia. We show that Andean uplift was crucial for the evolution of Amazonian landscapes and ecosystems, and that current biodiversity patterns are rooted deep in the pre-Quaternary.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                20 October 2020
                5 October 2020
                5 October 2020
                : 117
                : 42
                : 26281-26287
                Affiliations
                [1] aDepartment of Biological and Environmental Sciences, University of Gothenburg , SE-413 19 Gothenburg, Sweden;
                [2] bGothenburg Global Biodiversity Centre , SE-405 30 Gothenburg, Sweden;
                [3] cSmithsonian Tropical Research Institute , 0843-03092 Balboa, Panama;
                [4] dCR2P, Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université , 75005 Paris, France;
                [5] eDepartment of Biology, University of Fribourg , 1700 Fribourg, Switzerland;
                [6] fSwiss Institute of Bioinformatics , 1015 Lausanne, Switzerland;
                [7] gGerman Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv), 04103, Leipzig, Germany;
                [8] hNaturalis Biodiversity Center , 2333 CR Leiden, The Netherlands;
                [9] il’Institut des Sciences de l’Evolution de Montpellier, Université de Montpellier , CNRS, Ecole Pratique des Hautes Études, Institut de Recherche pour le Développement, 34095 Montpellier, France;
                [10] jRoyal Botanic Gardens , Kew, Richmond, London TW9 3AE, United Kingdom
                Author notes
                1To whom correspondence may be addressed. Email: juan.carrillo@ 123456mnhn.fr .

                Edited by David Dilcher, Indiana University Bloomington, Bloomington, IN, and approved August 29, 2020 (received for review May 11, 2020)

                Author contributions: J.D.C., S.F., D.S., C.D.B., and A.A. designed research; J.D.C., S.F., and D.S. performed research; J.D.C., S.F., D.S., A.Z., and C.J. contributed new reagents/analytic tools; J.D.C., S.F., D.S., C.J., and C.D.B. analyzed data; and J.D.C. wrote the paper.

                Author information
                https://orcid.org/0000-0003-2475-3341
                https://orcid.org/0000-0002-2974-2628
                https://orcid.org/0000-0003-0100-0961
                https://orcid.org/0000-0002-1680-9192
                https://orcid.org/0000-0002-2616-5079
                https://orcid.org/0000-0003-2341-2705
                https://orcid.org/0000-0003-1842-9297
                Article
                202009397
                10.1073/pnas.2009397117
                7585031
                33020313
                c886c158-7f24-482a-985b-d61879e2a631
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 7
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 501100001711
                Award ID: P2ZHP3_174749
                Award Recipient : Juan D. Carrillo Award Recipient : Daniele Silvestro
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 501100001711
                Award ID: P400PB_186733
                Award Recipient : Juan D. Carrillo Award Recipient : Daniele Silvestro
                Funded by: Svenska Forskningsrådet Formas (Swedish Research Council Formas) 501100001862
                Award ID: 2017-03862
                Award Recipient : Søren Faurby Award Recipient : Daniele Silvestro Award Recipient : Christine D. Bacon
                Funded by: Svenska Forskningsrådet Formas (Swedish Research Council Formas) 501100001862
                Award ID: 2017-04980
                Award Recipient : Søren Faurby Award Recipient : Daniele Silvestro Award Recipient : Christine D. Bacon
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 501100001711
                Award ID: PCEFP3_187012; FN-1749
                Award Recipient : Juan D. Carrillo Award Recipient : Daniele Silvestro
                Funded by: Svenska Forskningsrådet Formas (Swedish Research Council Formas) 501100001862
                Award ID: VR: 2019-04739
                Award Recipient : Søren Faurby Award Recipient : Daniele Silvestro Award Recipient : Christine D. Bacon
                Funded by: Deutsche Forschungsgemeinschaft (DFG) 501100001659
                Award ID: DFG FZT 118
                Award Recipient : Alexander Zizka
                Categories
                Biological Sciences
                Evolution

                america,biogeography,biotic interchange,diversification,mammals

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