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      Ecological Guild Evolution and the Discovery of the World's Smallest Vertebrate

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          Abstract

          Living vertebrates vary drastically in body size, yet few taxa reach the extremely minute size of some frogs and teleost fish. Here we describe two new species of diminutive terrestrial frogs from the megadiverse hotspot island of New Guinea, one of which represents the smallest known vertebrate species, attaining an average body size of only 7.7 mm. Both new species are members of the recently described genus Paedophryne, the four species of which are all among the ten smallest known frog species, making Paedophryne the most diminutive genus of anurans. This discovery highlights intriguing ecological similarities among the numerous independent origins of diminutive anurans, suggesting that minute frogs are not mere oddities, but represent a previously unrecognized ecological guild.

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          MRBAYES: Bayesian inference of phylogenetic trees.

          The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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            Cenozoic geological and plate tectonic evolution of SE Asia and the SW Pacific: computer-based reconstructions, model and animations

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              AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics.

              A key element to a successful Markov chain Monte Carlo (MCMC) inference is the programming and run performance of the Markov chain. However, the explicit use of quality assessments of the MCMC simulations-convergence diagnostics-in phylogenetics is still uncommon. Here, we present a simple tool that uses the output from MCMC simulations and visualizes a number of properties of primary interest in a Bayesian phylogenetic analysis, such as convergence rates of posterior split probabilities and branch lengths. Graphical exploration of the output from phylogenetic MCMC simulations gives intuitive and often crucial information on the success and reliability of the analysis. The tool presented here complements convergence diagnostics already available in other software packages primarily designed for other applications of MCMC. Importantly, the common practice of using trace-plots of a single parameter or summary statistic, such as the likelihood score of sampled trees, can be misleading for assessing the success of a phylogenetic MCMC simulation. The program is available as source under the GNU General Public License and as a web application at http://ceb.scs.fsu.edu/awty.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                11 January 2012
                : 7
                : 1
                : e29797
                Affiliations
                [1 ]Department of Biological Sciences and Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana, United States of America
                [2 ]Bishop Museum, Honolulu, Hawaii, United States of America
                [3 ]Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America
                University of Arkanas, United States of America
                Author notes

                Conceived and designed the experiments: CCA ENR AA. Performed the experiments: CCA ENR AA. Analyzed the data: CCA ENR AA. Contributed reagents/materials/analysis tools: CCA AA. Wrote the paper: CCA ENR AA. Fieldwork: CCA ENR AA MCG DKT.

                Article
                PONE-D-11-19526
                10.1371/journal.pone.0029797
                3256195
                22253785
                9bdfcb5d-2e34-42b5-965d-1ed74fbac76c
                Rittmeyer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 28 September 2011
                : 3 December 2011
                Page count
                Pages: 11
                Categories
                Research Article
                Biology
                Ecology
                Evolutionary Biology
                Evolutionary Systematics
                Genetics
                Zoology

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