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      Phylogenomic analysis of Syngnathidae reveals novel relationships, origins of endemic diversity and variable diversification rates

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          Abstract

          Background

          Seahorses, seadragons, pygmy pipehorses, and pipefishes (Syngnathidae, Syngnathiformes) are among the most recognizable groups of fishes because of their derived morphology, unusual life history, and worldwide distribution. Despite previous phylogenetic studies and recent new species descriptions of syngnathids, the evolutionary relationships among several major groups within this family remain unresolved.

          Results

          Here, we provide a reconstruction of syngnathid phylogeny based on genome-wide sampling of 1314 ultraconserved elements (UCEs) and expanded taxon sampling to assess the current taxonomy and as a basis for macroevolutionary insights. We sequenced a total of 244 new specimens across 117 species and combined with published UCE data for a total of 183 species of Syngnathidae, about 62% of the described species diversity, to compile the most data-rich phylogeny to date. We estimated divergence times using 14 syngnathiform fossils, including nine fossils with newly proposed phylogenetic affinities, to better characterize current and historical biogeographical patterns, and to reconstruct diversification through time. We present a phylogenetic hypothesis that is well-supported and provides several notable insights into syngnathid evolution. We found nine non-monophyletic genera, evidence for seven cryptic species, five potentially invalid synonyms, and identified a novel sister group to the seahorses, the Indo-Pacific pipefishes Halicampus macrorhynchus and H. punctatus. In addition, the morphologically distinct southwest Pacific seahorse Hippocampus jugumus was recovered as the sister to all other non-pygmy seahorses. As found in many other groups, a high proportion of syngnathid lineages appear to have originated in the Central Indo-Pacific and subsequently dispersed to adjoining regions. Conversely, we also found an unusually high subsequent return of lineages from southern Australasia to the Central Indo-Pacific. Diversification rates rose abruptly during the Middle Miocene Climate Transition and peaked after the closure of the Tethys Sea.

          Conclusions

          Our results reveal a previously underappreciated diversity of syngnathid lineages. The observed biogeographic patterns suggest a significant role of the southern Australasian region as a source and sink of lineages. Shifts in diversification rates imply possible links to declining global temperatures, the separation of the Atlantic and Pacific faunas, and the environmental changes associated with these events.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-022-01271-w.

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          Most cited references138

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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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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

                Contributors
                josefin.stiller@bio.ku.dk
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                27 March 2022
                27 March 2022
                2022
                : 20
                : 75
                Affiliations
                [1 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Scripps Institution of Oceanography, , University of California San Diego, ; La Jolla, USA
                [2 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Centre for Biodiversity Genomics, , University of Copenhagen, ; 2100 Copenhagen, Denmark
                [3 ]GRID grid.438303.f, ISNI 0000 0004 0470 8815, Ichthyology, , Australian Museum, ; Sydney, Australia
                [4 ]GRID grid.242287.9, ISNI 0000 0004 0461 6769, Ichthyology, , California Academy of Sciences, ; San Francisco, USA
                [5 ]GRID grid.446406.4, ISNI 0000 0001 0699 5529, Ichthyology, , Burke Museum of Natural History and Culture, ; Seattle, USA
                [6 ]GRID grid.422378.8, ISNI 0000 0004 0513 477X, NatureServe, ; Arlington, USA
                [7 ]GRID grid.53857.3c, ISNI 0000 0001 2185 8768, Department of Biology and Ecology Center, , Utah State University, ; Logan, Utah USA
                [8 ]GRID grid.265122.0, ISNI 0000 0001 0719 7561, Department of Biological Science, , Towson University, ; Towson, MD 21252 USA
                [9 ]GRID grid.27860.3b, ISNI 0000 0004 1936 9684, Department of Evolution & Ecology, , University of California, ; Davis, USA
                [10 ]GRID grid.242287.9, ISNI 0000 0004 0461 6769, Center for Comparative Genomics, , California Academy of Sciences, ; San Francisco, USA
                Author information
                http://orcid.org/0000-0001-6009-9581
                https://orcid.org/0000-0002-4691-1913
                https://orcid.org/0000-0001-8974-0301
                https://orcid.org/0000-0001-5429-2473
                Article
                1271
                10.1186/s12915-022-01271-w
                8962102
                35346180
                b0d413fc-1bc9-4249-a043-ed424afc9e54
                © 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
                : 6 January 2022
                : 4 March 2022
                Funding
                Funded by: Lowe Family Foundation
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Life sciences
                phylogeny,diversification,biogeography,syngnathidae,seahorses,uces
                Life sciences
                phylogeny, diversification, biogeography, syngnathidae, seahorses, uces

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