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      A new species of the genus Henricia (Asteroidea, Spinulosida, Echinasteridae) from South Korea

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          Abstract

          A new species of the genus Henricia Gray, 1840 that belongs to the family Echinasteridae is described from South Korea. Henricia epiphysialis sp. nov. has epiphyseal ossicles at the ends of the abactinal and lateral plates, and the abactinal and lateral spines form a hooked crown. The partial sequence of the mitochondrial COXI gene (537 bp) of H. epiphysialis sp. nov. was obtained, and the new species was morphologically and genetically compared with other related Henricia species.

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          Sudhir Kumar, Glen Stecher, Koichiro Tamura (2016)
          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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            Biological identifications through DNA barcodes.

            Paul Hebert, Alina Cywinska, Shelley Ball … (2003)
            Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon 'barcodes'. We establish that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. First, we demonstrate that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analysed taxa to the appropriate phylum or order. Second, we demonstrate that species-level assignments can be obtained by creating comprehensive COI profiles. A model COI profile, based upon the analysis of a single individual from each of 200 closely allied species of lepidopterans, was 100% successful in correctly identifying subsequent specimens. When fully developed, a COI identification system will provide a reliable, cost-effective and accessible solution to the current problem of species identification. Its assembly will also generate important new insights into the diversification of life and the rules of molecular evolution.
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              DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

              M Beier (1966)
              We describe "universal" DNA primers for polymerase chain reaction (PCR) amplification of a 710-bp fragment of the mitochondrial cytochrome c oxidase subunit I gene (COI) from 11 invertebrate phyla: Echinodermata, Mollusca, Annelida, Pogonophora, Arthropoda, Nemertinea, Echiura, Sipuncula, Platyhelminthes, Tardigrada, and Coelenterata, as well as the putative phylum Vestimentifera. Preliminary comparisons revealed that these COI primers generate informative sequences for phylogenetic analyses at the species and higher taxonomic levels.
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                Author and article information

                Contributors
                Sook Shin
                Journal
                Journal ID (nlm-ta): Zookeys
                Journal ID (iso-abbrev): Zookeys
                Journal ID (publisher-id): 2
                Journal ID (index): urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E
                Journal ID (aggregator): urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A
                Title: ZooKeys
                Publisher: Pensoft Publishers
                ISSN (Print): 1313-2989
                ISSN (Electronic): 1313-2970
                Publication date Collection: 2020
                Publication date (Electronic): 25 November 2020
                Volume: 997
                Pages: 1-15
                Affiliations
                [1 ] Department of Animal Biotechnology & Resource, Sahmyook University, Seoul 01795, South Korea
                [2 ] Marine Biological Resource Institute, Sahmyook University, Seoul 01795, South Korea
                [3 ] Division of Ecological Conservation, Bureau of Ecological Research, National Institute of Ecology, Seocheon-gun, Choongnam 33657, South Korea
                Author notes
                Corresponding author: Sook Shin ( shins@ 123456syu.ac.kr )

                Academic editor: A. Martynov

                Author information
                https://orcid.org/0000-0003-0349-9540
                https://orcid.org/0000-0003-4407-7862
                https://orcid.org/0000-0001-9938-6895
                Article
                Publisher ID: 52703
                DOI: 10.3897/zookeys.997.52703
                PMC ID: 7710672
                PubMed ID: 33335438
                SO-VID: c57d8fdb-e9f4-4a5c-95f1-82907406a690
                Copyright © Michael Dadole Ubagan, Taekjun Lee, Philjae Kim, Sook Shin
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 30 March 2020
                Date accepted : 23 September 2020
                Categories
                Subject: Research Article
                Subject: Asteroidea
                Subject: Echinasteridae
                Subject: Spinulosida
                Subject: Biodiversity & Conservation
                Subject: Evolutionary biology
                Subject: Cenozoic
                Subject: Asia

                ScienceOpen disciplines: Animal science & Zoology
                Keywords: distribution,dna barcoding,henricia epiphysialissp. nov.,morphology,taxonomy
                Data availability:
                ScienceOpen disciplines: Animal science & Zoology
                Keywords: distribution, dna barcoding, henricia epiphysialissp. nov., morphology, taxonomy

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