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      The importance of environmental conditions in maintaining lineage identity in Epithelantha (Cactaceae)

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          Abstract

          <p id="d7885587e222"> <div class="list"> <a class="named-anchor" id="ece37347-list-0001"> <!-- named anchor --> </a> <ul class="so-custom-list"> <li id="d7885587e225"> <div class="so-custom-list-content so-ol"> <p class="first" id="d7885587e226">The use of environmental variables to explain the evolution of lineages has gained relevance in recent studies. Additionally, it has allowed the recognition of species by adding more characters to morphological and molecular information. This study focuses on identifying environmental and landscape variables that have acted as barriers that could have influenced the evolution of <i>Epithelantha</i> species and its close genera. </p> </div> </li> <li id="d7885587e231"> <div class="so-custom-list-content so-ol"> <p class="first" id="d7885587e232">Our results show that soil pH, isothermality, temperature seasonality, and annual precipitation have a significant phylogenetic signal for <i>Epithelantha</i>. Soil type and landforms are also relevant as ecological barriers that maintain the identity of <i>Epithelantha</i> species. </p> </div> </li> <li id="d7885587e240"> <div class="so-custom-list-content so-ol"> <p class="first" id="d7885587e241">The variables associated with the soil (pH) have influenced the evolution of <i>Epithelantha</i> and probably in other genera of Cactaceae. Additionally, <i>Epithelantha</i> is frequent in the piedmont and haplic kastanozems. Bioclimatic variables reinforce the recognition of <i>E. micromeris,</i> and <i>E. cryptica</i> as independent species. Therefore, ecology can be considered as a factor to explain the high level of endemism in Cactaceae. </p> </div> </li> </ul> </div> </p><p class="first" id="d7885587e257">Speciation and species delimitation in megadiverse groups has always been a challenge. Here, we analyzed the impact of environmental conditions in maintaining lineage identity in an endemic cactus. <div class="boxed-text panel" id="ece37347-blkfxd-0001"> <a class="named-anchor" id="ece37347-blkfxd-0001"> <!-- named anchor --> </a> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/a938c6bb-229c-4c79-aa89-9a30fbd45eb2/PubMedCentral/image/ECE3-11-4520-g006.jpg"/> </div> <div class="panel-content"/> </div> </p>

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

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              Very high resolution interpolated climate surfaces for global land areas

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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Ecology and Evolution
                Ecol. Evol.
                Wiley
                2045-7758
                2045-7758
                May 2021
                March 11 2021
                May 2021
                : 11
                : 9
                : 4520-4531
                Affiliations
                [1 ]Jardín Botánico Instituto de Biología Universidad Nacional Autónoma de México Ciudad de México México
                [2 ]Sociedad de Cactáceas y Suculentas del Estado de Nuevo León Guadalupe México
                Article
                10.1002/ece3.7347
                1778bac0-a3a2-42e7-a53a-6f446e840a1c
                © 2021

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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