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      Complete mitochondrial genomes of Baikal oilfishes (Perciformes: Cottoidei), earth’s deepest-swimming freshwater fishes

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          Abstract

          Sculpins are predominantly benthic sit-and-wait predators that inhabit marine and freshwaters of the Northern Hemisphere. In striking contrast to riverine relatives, sculpins endemic to Lake Baikal have diversified in both form and function, with multiple taxa having adaptations for pelagic and bathyal niches within the world’s deepest lake. Baikal Oilfishes ( Comephorus spp.) represent a highly apomorphic taxon with unique skeletal morphology, soft anatomy, and reproductive ecology. Selection for novel behavior and life history may be evident in genes responsible for organismal energy balance, including those encoding subunits of the electron transport chain. Complete mitochondrial genomes were sequenced for the Big Baikal Oilfish ( Comephorus baicalensis) and Little Baikal Oilfish ( Comephorus dybowskii). Mitochondrial genomes encode genes essential for electron transport, and data provided here will complement ongoing investigations of genome-to-phenome maps for teleost respiration and metabolism. Phylogenetic analyses including oilfish mitogenomes and all publicly available cottoid representative sequences are largely concordant with previous studies.

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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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            MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

            We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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              Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

              We present an in silico approach for the reconstruction of complete mitochondrial genomes of non-model organisms directly from next-generation sequencing (NGS) data—mitochondrial baiting and iterative mapping (MITObim). The method is straightforward even if only (i) distantly related mitochondrial genomes or (ii) mitochondrial barcode sequences are available as starting-reference sequences or seeds, respectively. We demonstrate the efficiency of the approach in case studies using real NGS data sets of the two monogenean ectoparasites species Gyrodactylus thymalli and Gyrodactylus derjavinoides including their respective teleost hosts European grayling (Thymallus thymallus) and Rainbow trout (Oncorhynchus mykiss). MITObim appeared superior to existing tools in terms of accuracy, runtime and memory requirements and fully automatically recovered mitochondrial genomes exceeding 99.5% accuracy from total genomic DNA derived NGS data sets in <24 h using a standard desktop computer. The approach overcomes the limitations of traditional strategies for obtaining mitochondrial genomes for species with little or no mitochondrial sequence information at hand and represents a fast and highly efficient in silico alternative to laborious conventional strategies relying on initial long-range PCR. We furthermore demonstrate the applicability of MITObim for metagenomic/pooled data sets using simulated data. MITObim is an easy to use tool even for biologists with modest bioinformatics experience. The software is made available as open source pipeline under the MIT license at https://github.com/chrishah/MITObim.
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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
                7 November 2017
                2017
                : 2
                : 2
                : 773-775
                Affiliations
                [a ]Department of Biological and Environmental Sciences, The University of West Alabama , Livingston, AL, USA;
                [b ]Department of Biological Sciences, California State University Los Angeles , Los Angeles, CA, USA;
                [c ]Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University , St. Petersburg, Russia;
                [d ]Halmos College of Natural Sciences and Oceanography, Nova Southeastern University , Fort Lauderdale, FL, USA;
                [e ]Centre for Algorithmic Biotechnology, St. Petersburg State University , St. Petersburg, Russia;
                [f ]Department of Epidemiology and Biostatistics, School of Public Health, Indiana University , Bloomington, IN, USA;
                [g ]Limnological Institute of the Russian Academy of Sciences , Irkutsk, Russia
                Author notes
                CONTACT Michael W. Sandel msandel@ 123456uwa.edu Department of Biological and Environmental Sciences, The University of West Alabama , Livingston, AL, USA
                Author information
                https://orcid.org/0000-0001-9083-9202
                https://orcid.org/0000-0002-4409-9597
                https://orcid.org/0000-0001-7353-8301
                https://orcid.org/0000-0003-0427-8731
                https://orcid.org/0000-0003-3566-9399
                https://orcid.org/0000-0001-7101-6622
                https://orcid.org/0000-0002-9997-6294
                Article
                1398603
                10.1080/23802359.2017.1398603
                5938752
                29756047
                c436bc3c-d10f-4d45-aedf-4288cf4d37cd
                © 2017 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.

                History
                Page count
                Figures: 1, Pages: 3, Words: 1400
                Categories
                Research Article
                Mitogenome Announcement

                comephorus baicalensis,comephorus dybowskii,golomyanka,oilfish,mtdna,mitochondrial genome

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