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      A New Species of Terrestrial-Breeding Frog, Genus Pristimantis (Anura: Strabomantidae), from the Peruvian Yungas of Central Peru

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      Taxonomy
      MDPI AG

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          Abstract

          We describe a new species of terrestrial-breeding frog of the genus Pristimantis from the Peruvian Yungas ecoregion of central Peru, Junin Department. The description is based on the observation of morphological features, color patterns of fourteen specimens, bioacoustic traits of the advertisement calls, and a phylogenetic analysis using a sequence fragment of 16S rRNA. The new species is mainly characterized by having a rounded or truncate snout in dorsal view, presence of dorsolateral folds, tympanic membrane and annulus distinct, absence of flash marks on the hidden surfaces of flanks and hindlimbs, and a small size (maximum SVL 15.6 mm in males and 19.3 mm in females). We provide diagnostic traits to differentiate the new species from phylogenetically close relatives, as well as morphologically similar and sympatric species of Pristimantis.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

            We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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              IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

              Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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                Author and article information

                Contributors
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                Journal
                Taxonomy
                Taxonomy
                MDPI AG
                2673-6500
                June 2023
                June 20 2023
                : 3
                : 2
                : 331-345
                Article
                10.3390/taxonomy3020019
                0645a207-123f-42fe-88ee-33baf241982c
                © 2023

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

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