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      First Molecular Phylogeny of Lumbrineridae (Annelida)

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          Abstract

          Lumbrineridae is a family of marine annelids with simple external morphology but complex and diverse jaw apparatuses consisting of paired maxillae and mandibles. Here we present the first phylogeny of lumbrinerids based on combination of nuclear (18S rDNA) and mitochondrial (COI, 16S rDNA) markers utilizing Bayesian inference and Maximum Likelihood approaches. Despite limited taxon sampling, our results support monophyly of the genera Abyssoninoe, Augeneria, Gallardoneris, Lumbrineriopsis, and Ninoe and indicate polyphyly of the genera Lumbrineris (the type genus of the family) and Scoletoma. None of the morphological characters traditionally used in lumbrinerid systematics, such as the presence of connecting plates, four pairs of maxillae, bidentate simple hooded hooks, colorless maxillae IV, and multidentate maxillae IV were found to be exclusive homologies for a well-supported clade and have probably evolved several times independently within Lumbrineridae.

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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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              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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                Author and article information

                Journal
                DIVEC6
                Diversity
                Diversity
                MDPI AG
                1424-2818
                February 2022
                January 25 2022
                : 14
                : 2
                : 83
                Article
                10.3390/d14020083
                e446b785-36bf-430a-866c-e1fd53a12151
                © 2022

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

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