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      Complete mitochondrial genome of the blister beetle Hycleus scutellatus Rosenhauer, 1856 (Coleoptera, Meloidae)

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      Mitochondrial DNA. Part B, Resources
      Taylor & Francis
      Hycleus scutellatus, blister beetle, mitogenome

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          Abstract

          In this study, we report the complete mitochondrial genome or mitogenome of the blister beetle Hycleus scutellatus, one endemic species from the Iberian Peninsula. The mitogenome was 16,035 base pairs in length, with an A + T content of 71.7%. It has 37 genes including 13 protein-coding genes, 22 transfer RNA genes and 2 ribosomal RNA genes. To analyze the evolutionary position of H. scutellatus, we constructed a phylogenetic tree using all available mitogenomes from species of the family Meloidae. The results show that Hycleus species are very close to the genus Mylabris. We present here the mitogenome of H. scutellatus as a new resource to elucidate the phylogenetic relations among the Meloidea family, being this source very useful for future evolutionary analyses of blister beetles.

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          Most cited references17

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          The neighbor-joining method: a new method for reconstructing phylogenetic trees.

          N Saitou, M Nei (1987)
          A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
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            MEGA11: Molecular Evolutionary Genetics Analysis Version 11

            The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods. Methods for estimating divergence times and confidence intervals are implemented to use probability densities for calibration constraints for node-dating and sequence sampling dates for tip-dating analyses. They are supported by new options for tagging sequences with spatiotemporal sampling information, an expanded interactive Node Calibrations Editor , and an extended Tree Explorer to display timetrees. Also added is a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments and a machine learning method to test for the autocorrelation of evolutionary rates in phylogenies. The computer memory requirements for the maximum likelihood analysis are reduced significantly through reprogramming, and the graphical user interface has been made more responsive and interactive for very big data sets. These enhancements will improve the user experience, quality of results, and the pace of biological discovery. Natively compiled graphical user interface and command-line versions of MEGA11 are available for Microsoft Windows, Linux, and macOS from www.megasoftware.net .
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              MITOS: improved de novo metazoan mitochondrial genome annotation.

              About 2000 completely sequenced mitochondrial genomes are available from the NCBI RefSeq data base together with manually curated annotations of their protein-coding genes, rRNAs, and tRNAs. This annotation information, which has accumulated over two decades, has been obtained with a diverse set of computational tools and annotation strategies. Despite all efforts of manual curation it is still plagued by misassignments of reading directions, erroneous gene names, and missing as well as false positive annotations in particular for the RNA genes. Taken together, this causes substantial problems for fully automatic pipelines that aim to use these data comprehensively for studies of animal phylogenetics and the molecular evolution of mitogenomes. The MITOS pipeline is designed to compute a consistent de novo annotation of the mitogenomic sequences. We show that the results of MITOS match RefSeq and MitoZoa in terms of annotation coverage and quality. At the same time we avoid biases, inconsistencies of nomenclature, and typos originating from manual curation strategies. The MITOS pipeline is accessible online at http://mitos.bioinf.uni-leipzig.de. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Mitochondrial DNA B Resour
                Mitochondrial DNA B Resour
                Mitochondrial DNA. Part B, Resources
                Taylor & Francis
                2380-2359
                10 June 2022
                2022
                10 June 2022
                : 7
                : 6
                : 986-988
                Affiliations
                Department of Experimental Biology, Genetics, University of Jaén , Jaén, Spain
                Author notes
                CONTACT Pedro Lorite plorite@ 123456ujaen.es Department of Experimental Biology, Genetics, University of Jaén , Jaén, Spain
                Author information
                https://orcid.org/0000-0001-7967-3379
                https://orcid.org/0000-0002-2461-9268
                https://orcid.org/0000-0002-7144-4931
                https://orcid.org/0000-0002-9692-5870
                Article
                2080603
                10.1080/23802359.2022.2080603
                9196748
                98d6aa77-2574-4f9b-979b-4403972d319d
                © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Page count
                Figures: 1, Tables: 0, Pages: 3, Words: 1612
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                Research Article
                Mitogenome Announcement

                hycleus scutellatus,blister beetle,mitogenome
                hycleus scutellatus, blister beetle, mitogenome

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