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      New data on the mitochondrial genome of Nematocera (lower Diptera): features, structures and phylogenetic implications

      1 , 2 , 1
      Zoological Journal of the Linnean Society
      Oxford University Press (OUP)

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          Abstract

          Nematocera (lower Diptera) is a taxonomically diverse group with ~52 000 species in 40 families, including many important agricultural and sanitary pests. The number and composition of nematoceran infraorders have long been subject to debate. The use of mitochondrial genomes for resolving these questions shows considerable promise. Herein, we sequenced and annotated the complete or nearly complete mitochondrial genomes of eight nematoceran species from seven families, representing the first mitochondrial genomes of two infraorders and six families. They range in size from 14 447 to 16 255 bp and all contain 13 protein-coding genes, two ribosomal RNA genes, 22 transfer RNA genes and an AT-rich region. Like other nematocerans, the arrangement of genes of their mitochondrial genomes is identical to the presumed ancestral arrangement. A phylogenetic analysis was conducted by using mitochondrial genomes of 116 representatives from Diptera, Mecoptera and Siphonaptera. Our phylogenetic results support both new and traditional arrangements. The small, highly specialized family Deuterophlebiidae appears to be sister to all remaining Diptera, while Nymphomyiidae and Blephariceridae are nested within Culicomorpha and Psychodomorpha, respectively; hence, the recognition of ‘Blephariceromorpha’ as a valid monophyletic infraorder is discouraged. Anisopodidae is supported as the sister group of Brachycera.

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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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              Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments.

              Alignment quality may have as much impact on phylogenetic reconstruction as the phylogenetic methods used. Not only the alignment algorithm, but also the method used to deal with the most problematic alignment regions, may have a critical effect on the final tree. Although some authors remove such problematic regions, either manually or using automatic methods, in order to improve phylogenetic performance, others prefer to keep such regions to avoid losing any information. Our aim in the present work was to examine whether phylogenetic reconstruction improves after alignment cleaning or not. Using simulated protein alignments with gaps, we tested the relative performance in diverse phylogenetic analyses of the whole alignments versus the alignments with problematic regions removed with our previously developed Gblocks program. We also tested the performance of more or less stringent conditions in the selection of blocks. Alignments constructed with different alignment methods (ClustalW, Mafft, and Probcons) were used to estimate phylogenetic trees by maximum likelihood, neighbor joining, and parsimony. We show that, in most alignment conditions, and for alignments that are not too short, removal of blocks leads to better trees. That is, despite losing some information, there is an increase in the actual phylogenetic signal. Overall, the best trees are obtained by maximum-likelihood reconstruction of alignments cleaned by Gblocks. In general, a relaxed selection of blocks is better for short alignment, whereas a stringent selection is more adequate for longer ones. Finally, we show that cleaned alignments produce better topologies although, paradoxically, with lower bootstrap. This indicates that divergent and problematic alignment regions may lead, when present, to apparently better supported although, in fact, more biased topologies.
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                Author and article information

                Journal
                Zoological Journal of the Linnean Society
                Oxford University Press (OUP)
                0024-4082
                1096-3642
                March 25 2022
                March 25 2022
                Affiliations
                [1 ]Key Lab of Integrated Crop Pest Management of Shandong Province, College of Plant Health and Medicine, Qingdao Agricultural University, Qingdao 266109, P.R. China
                [2 ]Department of Entomology, China Agricultural University, Beijing 100193, P.R. China
                Article
                10.1093/zoolinnean/zlac012
                e9861d6c-00d9-4f99-95fa-053d8a49d8f0
                © 2022

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

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