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      Molecular phylogeny of obligate fish parasites of the family Cymothoidae (Isopoda, Crustacea): evolution of the attachment mode to host fish and the habitat shift from saline water to freshwater

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          Fishes of the World

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            Phylogeny of Arthropoda inferred from mitochondrial sequences: strategies for limiting the misleading effects of multiple changes in pattern and rates of substitution.

            In this study, mitochondrial sequences were used to investigate the relationships among the major lineages of Arthropoda. The data matrix used for the analyses includes 84 taxa and 3918 nucleotides representing six mitochondrial protein-coding genes (atp6 and 8, cox1-3, and nad2). The analyses of nucleotide composition show that a reverse strand-bias, i.e., characterized by an excess of T relative to A nucleotides and of G relative to C nucleotides, was independently acquired in six different lineages of Arthropoda: (1) the honeybee mite (Varroa), (2) Opisthothelae spiders (Argiope, Habronattus, and Ornithoctonus), (3) scorpions (Euscorpius and Mesobuthus), (4) Hutchinsoniella (Cephalocarid), (5) Tigriopus (Copepod), and (6) whiteflies (Aleurodicus and Trialeurodes). Phylogenetic analyses confirm that these convergences in nucleotide composition can be particularly misleading for tree reconstruction, as unrelated taxa with reverse strand-bias tend to group together in MP, ML, and Bayesian analyses. However, the use of a specific model for minimizing effects of the bias, the "Neutral Transition Exclusion" (NTE) model, allows Bayesian analyses to rediscover most of the higher taxa of Arthropoda. Furthermore, the analyses of branch lengths suggest that three main factors explain accelerated rates of substitution: (1) genomic rearrangements, including duplication of the control region and gene translocation, (2) parasitic lifestyle, and (3) small body size. The comparisons of Bayesian Bootstrap percentages show that the support for many nodes increases when taxa with long branches are excluded from the analyses. It is therefore recommended to select taxa and genes of the mitochondrial genome for inferring phylogenetic relationships among arthropod lineages. The phylogenetic analyses support the existence of a major dichotomy within Arthropoda, separating Pancrustacea and Paradoxopoda. Basal relationships between Pancrustacean lineages are not robust, and the question of Hexapod monophyly or polyphyly cannot be answered with the available mitochondrial sequences. Within Paradoxopoda, Chelicerata and Myriapoda are each found to be monophyletic, and Endeis (Pycnogonida) is, surprisingly, associated with Acari.
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              The root of the mammalian tree inferred from whole mitochondrial genomes.

              Morphological and molecular data are currently contradictory over the position of monotremes with respect to marsupial and placental mammals. As part of a re-evaluation of both forms of data we examine complete mitochondrial genomes in more detail. There is a particularly large discrepancy in the frequencies of thymine and cytosine (T-C) between mitochondrial genomes that appears to affect some deep divergences in the mammalian tree. We report that recoding nucleotides to RY-characters, and partitioning maximum-likelihood analyses among subsets of data reduces such biases, and improves the fit of models to the data, respectively. RY-coding also increases the signal on the internal branches relative to external, and thus increases the phylogenetic signal. In contrast to previous analyses of mitochondrial data, our analyses favor Theria (marsupials plus placentals) over Marsupionta (monotremes plus marsupials). However, a short therian stem lineage is inferred, which is at variance with the traditionally deep placement of monotremes on morphological data.
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                Author and article information

                Journal
                Marine Biology
                Mar Biol
                Springer Nature America, Inc
                0025-3162
                1432-1793
                May 2017
                April 12 2017
                May 2017
                : 164
                : 5
                Article
                10.1007/s00227-017-3138-5
                27980349
                762533a3-91d2-4a00-9536-464f1843b9db
                © 2017

                http://www.springer.com/tdm

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