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      A DNA barcode reference library for endemic Ponto-Caspian amphipods

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          Abstract

          The Ponto-Caspian region is an endemicity hotspot that harbours several crustacean radiations, among which amphipods are the most diverse. These poorly known species are severely threatened in their native range, while at the same time they are invading European inland waters with significant ecological consequences. A proper taxonomic knowledge of this fauna is paramount for its conservation within the native region and monitoring outside of it. Here, we assemble a DNA barcode reference library for nearly 60% of all known Ponto-Caspian amphipod species. We use several methods to define molecular operational taxonomic units (MOTUs), based on two mitochondrial markers (COI and 16S), and assess their congruence with current species-level taxonomy based on morphology. Depending on the method, we find that 54–69% of species had congruent morpho-molecular boundaries. The cases of incongruence resulted from lumping distinct morphospecies into a single MOTU (7–27%), splitting a morphospecies into several MOTUs (4–28%), or both (4–11%). MOTUs defined by distance-based methods without a priori divergence thresholds showed the highest congruence with morphological taxonomy. These results indicate that DNA barcoding is valuable for clarifying the diversity of Ponto-Caspian amphipods, but reveals that extensive work is needed to resolve taxonomic uncertainties. Our study advances the DNA barcode reference library for the European aquatic biota, paving the way towards improved taxonomic knowledge needed to enhance monitoring and conservation efforts.

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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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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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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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                Author and article information

                Contributors
                denis.copilas-ciocianu@gamtc.lt
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 July 2022
                5 July 2022
                2022
                : 12
                : 11332
                Affiliations
                [1 ]GRID grid.435238.b, ISNI 0000 0004 0522 3211, Laboratory of Evolutionary Ecology of Hydrobionts, , Nature Research Centre, ; 08412 Vilnius, Lithuania
                [2 ]GRID grid.10789.37, ISNI 0000 0000 9730 2769, Department of Invertebrate Zoology and Hydrobiology, Faculty of Biology and Environmental Protection, , University of Lodz, ; 90-237 Lodz, Poland
                [3 ]GRID grid.34429.38, ISNI 0000 0004 1936 8198, Centre for Biodiversity Genomics, , University of Guelph, ; Guelph, ON N1G 2W1 Canada
                [4 ]GRID grid.194645.b, ISNI 0000000121742757, Area of Ecology and Biodiversity, School of Biological Sciences, , University of Hong Kong, ; Hong Kong, Hong Kong SAR
                [5 ]GRID grid.437665.5, ISNI 0000 0001 1088 7934, A.N. Severtsov Institute of Ecology and Evolution of RAS, ; Moscow, 119071 Russia
                [6 ]GRID grid.1009.8, ISNI 0000 0004 1936 826X, Institute for Marine and Antarctic Studies, , University of Tasmania, ; Hobart, Tasmania Australia
                Article
                15442
                10.1038/s41598-022-15442-w
                9256591
                35790799
                00f5c035-2406-4540-9bb3-5722b023ab0b
                © The Author(s) 2022

                Open Access This 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/.

                History
                : 15 April 2022
                : 23 June 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004504, Lietuvos Mokslo Taryba;
                Award ID: 09.3.3-LMT-K-712-19-0149
                Award ID: 09.3.3-LMT-K-712-19-0149
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004442, Narodowym Centrum Nauki;
                Award ID: 2017/01/X/NZ8/01086
                Award ID: 2017/01/X/NZ8/01086
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100014434, Narodowa Agencja Wymiany Akademickiej;
                Award ID: PPN/BEK/2018/1/00162
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: 642973
                Award Recipient :
                Funded by: New Frontiers in Research Fund
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                evolution,genetics,zoology
                Uncategorized
                evolution, genetics, zoology

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