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      DNA barcoding for molecular identification of the genus Oxyscelio (Hymenoptera, Scelionidae) from southern China, with descriptions of five new species

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      Journal of Hymenoptera Research
      Pensoft Publishers

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          Abstract

          Species of the genus Oxyscelio Kieffer are egg parasitoids of Orthoptera. The genus is relatively diverse in China, with 34 described species. Some species of the genus are extremely morphologically similar and difficult to identify, especially in males. In this study, DNA barcoding based on sequences of the COI gene was used to discriminate Oxyscelio species from southern China. In total, 49 COI sequences belonging to 22 morphospecies were obtained. The COI sequences worked well for the identification of all the studied species, with intraspecific genetic distances ranging between 0 and 4.3%, while interspecific distances ranged between 7.1% and 19%. Based on both morphological and molecular analyses, five species are described as new: O. amalocarina Mo & Chen, sp. nov., O. apheles Mo & Chen, sp. nov., O. latheticus Mo & Chen, sp. nov., O. stenos Mo & Chen, sp. nov., and O. striae Mo & Chen, sp. nov.

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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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              Biological identifications through DNA barcodes.

              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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                Author and article information

                Contributors
                Journal
                Journal of Hymenoptera Research
                JHR
                Pensoft Publishers
                1314-2607
                1070-9428
                December 23 2021
                December 23 2021
                : 87
                : 613-633
                Article
                10.3897/jhr.87.71912
                4840afff-be71-4a23-8c6b-4f1bcc6a090a
                © 2021

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

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