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      Mitochondrial genomes of two eucotylids as the first representatives from the superfamily Microphalloidea (Trematoda) and phylogenetic implications

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          Abstract

          Background

          The Eucotylidae Cohn, 1904 (Superfamily: Microphalloidea), is a family of digeneans parasitic in kidneys of birds as adults. The group is characterized by the high level of morphological similarities among genera and unclear systematic value of morphological characters traditionally used for their differentiation. In the present study, we sequenced the complete or nearly complete mitogenomes (mt genome) of two eucotylids representing the genera Tamerlania ( T. zarudnyi) and Tanaisia ( Tanaisia sp.). They represent the first sequenced mt genomes of any member of the superfamily Microphalloidea.

          Methods

          A comparative mitogenomic analysis of the two newly sequenced eucotylids was conducted for the investigation of mitochondrial gene arrangement, contents and genetic distance. Phylogenetic position of the family Eucotylidae within the order Plagiorchiida was examined using nucleotide sequences of mitochondrial protein-coding genes (PCGs) plus RNAs using maximum likelihood (ML) and Bayesian inference (BI) methods. BI phylogeny based on concatenated amino acids sequences of PCGs was also conducted to determine possible effects of silent mutations.

          Results

          The complete mt genome of T. zarudnyi was 16,188 bp and the nearly complete mt genome of Tanaisia sp. was 13,953 bp in length. A long string of additional amino acids (about 123 aa) at the 5′ end of the cox1 gene in both studied eucotylid mt genomes has resulted in the cox1 gene of eucotylids being longer than in all previously sequenced digeneans. The rrnL gene was also longer than previously reported in any digenean mitogenome sequenced so far. The TΨC and DHU loops of the tRNAs varied greatly between the two eucotylids while the anticodon loop was highly conserved. Phylogenetic analyses based on mtDNA nucleotide and amino acids sequences (as a separate set) positioned eucotylids as a sister group to all remaining members of the order Plagiorchiida. Both ML and BI phylogenies revealed the paraphyletic nature of the superfamily Gorgoderoidea and the suborder Xiphidiata.

          Conclusions

          The average sequence identity, combined nucleotide diversity and Kimura-2 parameter distances between the two eucotylid mitogenomes demonstrated that atp6, nad5, nad4L and nad6 genes are better markers than the traditionally used cox1 or nad1 for the species differentiation and population-level studies of eucotylids because of their higher variability. The position of the Dicrocoeliidae and Eucotylidae outside the clade uniting other xiphidiatan trematodes strengthened the argument for the need for re-evaluation of the taxonomic content of the Xiphidiata.

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          Most cited references64

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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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            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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              IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

              Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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                Author and article information

                Contributors
                zaheer0332@gmail.com
                mnehaz@yahoo.com
                mskhan@uoswabi.edu.pk
                vasyl.tkach@und.edu
                hanifullah930@gmail.com
                mehsan124@gmail.com
                majun@caas.cn
                xingquanzhu1@hotmail.com
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                14 January 2021
                14 January 2021
                2021
                : 14
                : 48
                Affiliations
                [1 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, , Chinese Academy of Agricultural Sciences, ; Lanzhou, Gansu 730046 People’s Republic of China
                [2 ]GRID grid.502337.0, ISNI 0000 0004 4657 4747, Department of Zoology, , University of Swabi, ; Swabi, Khyber Pakhtunkhwa Pakistan
                [3 ]GRID grid.266862.e, ISNI 0000 0004 1936 8163, Department of Biology, , University of North Dakota, ; Grand Forks, ND 58202-9019 USA
                [4 ]GRID grid.464410.3, ISNI 0000 0004 1758 7573, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, ; Shanghai, 20041 People’s Republic of China
                [5 ]GRID grid.412545.3, ISNI 0000 0004 1798 1300, College of Veterinary Medicine, , Shanxi Agricultural University, ; Taigu, 030801 Shanxi People’s Republic of China
                Article
                4547
                10.1186/s13071-020-04547-8
                7807500
                33446249
                4c346797-5e7f-49ea-8b35-6c54e4922736
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 September 2020
                : 13 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31702225
                Award Recipient :
                Funded by: the International Science and Technology Cooperation Project of Gansu Provincial Key Research and Development Program
                Award ID: 17JR7WA031
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100012421, Agricultural Science and Technology Innovation Program;
                Award ID: CAAS-ASTIP-2016-LVRI-03
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Parasitology
                microphalloidea,eucotylidae,mitochondrial genomes,nucleotide diversity,molecular phylogeny

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