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      Complex mitogenomic rearrangements within the Pectinidae (Mollusca: Bivalvia)

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          Abstract

          Background

          Scallops (Bivalvia: Pectinidae) present extraordinary variance in both mitochondrial genome size, structure and content, even when compared to the extreme diversity documented within Mollusca and Bivalvia. In pectinids, mitogenome rearrangements involve protein coding and rRNA genes along with tRNAs, and different genome organization patterns can be observed even at the level of Tribes. Existing pectinid phylogenies fail to resolve some relationships in the family, Chlamydinae being an especially problematic group.

          Results

          In our study, we sequenced, annotated and characterized the mitochondrial genome of a member of Chlamydinae, Mimachlamys varia—a species of commercial interest and an effective bioindicator—revealing yet another novel gene arrangement in the Pectinidae. The phylogeny based on all mitochondrial protein coding and rRNA genes suggests the paraphyly of the Mimachlamys genus, further commending the taxonomic revision of the classification within the Chlamydinae subfamily. At the scale of the Pectinidae, we found that 15 sequence blocks are involved in mitogenome rearrangements, which behave as separate units.

          Conclusions

          Our study reveals incongruities between phylogenies based on mitochondrial protein-coding versus rRNA genes within the Pectinidae, suggesting that locus sampling affects phylogenetic inference at the scale of the family. We also conclude that the available taxon sampling does not allow for understanding of the mechanisms responsible for the high variability of mitogenome architecture observed in the Pectinidae, and that unraveling these processes will require denser taxon sampling.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12862-022-01976-0.

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          Most cited references103

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                tamas.malkocs@gmail.com
                Journal
                BMC Ecol Evol
                BMC Ecol Evol
                BMC Ecology and Evolution
                BioMed Central (London )
                2730-7182
                10 March 2022
                10 March 2022
                2022
                : 22
                : 29
                Affiliations
                [1 ]GRID grid.11698.37, ISNI 0000 0001 2169 7335, Littoral Environnement et Sociétés (LIENSs), UMR 7266, , CNRS-Université de La Rochelle, ; 2 Rue Olympe de Gouges, 17042 La Rochelle Cedex 01, France
                [2 ]GRID grid.7122.6, ISNI 0000 0001 1088 8582, Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, , University of Debrecen, ; Egyetem tér 1, 4032 Debrecen, Hungary
                [3 ]GRID grid.7122.6, ISNI 0000 0001 1088 8582, Institute of Biology and Ecology, , University of Debrecen, ; Egyetem tér 1, 4032 Debrecen, Hungary
                [4 ]GRID grid.481817.3, Institute of Aquatic Ecology, Centre for Ecological Research, ; 4026 Debrecen, Hungary
                Article
                1976
                10.1186/s12862-022-01976-0
                8915466
                35272625
                54fa31b5-2ff8-4fc8-a642-6fe87959c658
                © The Author(s) 2022

                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
                : 17 September 2021
                : 18 November 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100010790, Erasmus+;
                Funded by: Contrat de Plan Etat-Région (CPER/FEDER) ECONAT
                Award ID: DYPOMAR
                Award Recipient :
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                © The Author(s) 2022

                mitogenome,gene rearrangement,pectinidae,de novo assembly,variegated scallop,rna-seq

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