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      Combined phylogeny and new classification of catsharks (Chondrichthyes: Elasmobranchii: Carcharhiniformes)

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      Zoological Journal of the Linnean Society
      Oxford University Press (OUP)

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          Abstract

          This is the first study to combine morphological and molecular characters to infer the phylogenetic relationships among catsharks. All currently valid genera classified in the family Scyliorhinidae s.l. and representatives of other carcharhinoid families plus one lamnoid and two orectoloboids were included as terminal taxa. A total of 143 morphological characters and 44 NADH2 sequences were analysed. Parsimony analyses under different weighting schemes and strengths were used to generate hypotheses of phylogenetic relationships. The phylogenetic analysis of 78 terminal taxa, using the combined dataset and weighting each column separately (SEP; k = 3) resulted in one most-parsimonious cladogram of 4441 steps with the greatest internal resolution of clades and strongest support. The main changes in nomenclature and classification are the revised definition and scope of Scyliorhinidae, Apristurus and Pentanchus and the revalidation of Atelomycteridae. The monophyly of Pentanchidae is supported, as is that of most catshark genera. Two new subfamilies of the family Pentanchidae are defined: Halaelurinae subfam. nov. and Galeinae subfam. nov. Our analysis emphasizes the relevance of morphological characters in the inference of evolutionary history of carcharhinoids and sheds light on the taxonomic status of some genera in need of further exploration.

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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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            The integrative future of taxonomy

            Background Taxonomy is the biological discipline that identifies, describes, classifies and names extant and extinct species and other taxa. Nowadays, species taxonomy is confronted with the challenge to fully incorporate new theory, methods and data from disciplines that study the origin, limits and evolution of species. Results Integrative taxonomy has been proposed as a framework to bring together these conceptual and methodological developments. Here we review perspectives for an integrative taxonomy that directly bear on what species are, how they can be discovered, and how much diversity is on Earth. Conclusions We conclude that taxonomy needs to be pluralistic to improve species discovery and description, and to develop novel protocols to produce the much-needed inventory of life in a reasonable time. To cope with the large number of candidate species revealed by molecular studies of eukaryotes, we propose a classification scheme for those units that will facilitate the subsequent assembly of data sets for the formal description of new species under the Linnaean system, and will ultimately integrate the activities of taxonomists and molecular biologists.
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              TNT, a free program for phylogenetic analysis

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Zoological Journal of the Linnean Society
                Oxford University Press (OUP)
                0024-4082
                1096-3642
                July 01 2022
                June 23 2022
                March 03 2022
                July 01 2022
                June 23 2022
                March 03 2022
                : 195
                : 3
                : 761-814
                Article
                10.1093/zoolinnean/zlab108
                0e2c46ba-fba8-41e6-b7bd-a35c08f8fc17
                © 2022

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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