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      Phylogeography of the Central american red brocket deer, Mazama temama (Artiodactyla, Cervidae) in southeastern Mexico

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      Neotropical Biology and Conservation
      Pensoft Publishers

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          Abstract

          Anthropogenic threats have increasingly isolated the populations of Mazama temama (Erxleben, 1777) and limited the gene flow in this species. Knowledge of the phylogeographic structure of this species is therefore essential for its conservation. Thus, in this study, we describe the phylogeographic structure of two M. temama populations of Veracruz and Oaxaca, Mexico. We sequenced the D-Loop region of the mitochondrial DNA of 16 individuals, in order to estimate the diversity and genetic differentiation (FST), Tajima’s D index, "Mismatch distribution" test; a phylogram and a haplotype network was constructed and we performed multidimensional scaling analysis to test the hypothesis of association between geographic distance and genetic diversity. The haplotypic and nucleotide diversity was high, indicating divergent populations (FST = 0.223), while the Tajima’s D index (-1,03300; P > 0.10) determined disequilibrium in the D-Loop region, derived from a population expansion that was evidenced in the "Mismatch distribution" test and confirmed with the haplotype network in the form of a star. Four lineages were identified in the phylogram (Veracruz n = 3, Oaxaca n = 1), evidencing geographic and reproductive isolation between the two populations. This was confirmed by the multidimensional scaling analysis, which evidenced recent evolutionary divergence between the populations analyzed, which are considered evolutionary units of conservation.

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          MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

          We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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            CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.

            The recently-developed statistical method known as the "bootstrap" can be used to place confidence intervals on phylogenies. It involves resampling points from one's own data, with replacement, to create a series of bootstrap samples of the same size as the original data. Each of these is analyzed, and the variation among the resulting estimates taken to indicate the size of the error involved in making estimates from the original data. In the case of phylogenies, it is argued that the proper method of resampling is to keep all of the original species while sampling characters with replacement, under the assumption that the characters have been independently drawn by the systematist and have evolved independently. Majority-rule consensus trees can be used to construct a phylogeny showing all of the inferred monophyletic groups that occurred in a majority of the bootstrap samples. If a group shows up 95% of the time or more, the evidence for it is taken to be statistically significant. Existing computer programs can be used to analyze different bootstrap samples by using weights on the characters, the weight of a character being how many times it was drawn in bootstrap sampling. When all characters are perfectly compatible, as envisioned by Hennig, bootstrap sampling becomes unnecessary; the bootstrap method would show significant evidence for a group if it is defined by three or more characters.
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              DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

              DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Neotropical Biology and Conservation
                NBC
                Pensoft Publishers
                2236-3777
                June 11 2021
                June 11 2021
                : 16
                : 2
                : 369-382
                Article
                10.3897/neotropical.16.e58110
                b90577c7-1a58-48fc-b902-0a885ec96d06
                © 2021

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

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