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      Phylogenomic analysis of the bowfin ( Amia calva) reveals unrecognized species diversity in a living fossil lineage

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          Abstract

          The Bowfin ( Amia calva), as currently recognized, represents the sole living member of the family Amiidae, which dates back to approximately 150 Ma. Prior to 1896, 13 species of extant Bowfins had been described, but these were all placed into a single species with no rationale or analysis given. This situation has persisted until the present day, with little attention given to re-evaluation of those previously described nominal forms. Here, we present a phylogenomic analysis based on over 21,000 single nucleotide polymorphisms (SNPs) from 94 individuals that unambiguously demonstrates the presence of at least two independent evolutionary lineages within extant Amia populations that merit species-level standing, as well as the possibility of two more. These findings not only expand the recognizable species diversity in an iconic, ancient lineage, but also demonstrate the utility of such methods in addressing previously intractable questions of molecular systematics and phylogeography in slowly evolving groups of ancient fishes.

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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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              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
                Jeremy.Wright@nysed.gov
                djstewart@esf.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                3 October 2022
                3 October 2022
                2022
                : 12
                : 16514
                Affiliations
                [1 ]GRID grid.436284.f, ISNI 0000 0004 0499 6714, Research & Collections, , New York State Museum, 3140 Cultural Education Center, ; Albany, NY USA
                [2 ]GRID grid.265850.c, ISNI 0000 0001 2151 7947, Department of Information Technology Services, , University at Albany–State University of New York, ; Albany, NY USA
                [3 ]GRID grid.64337.35, ISNI 0000 0001 0662 7451, Department of Biological Sciences, Museum of Natural Sciences, , Louisiana State University, ; Baton Rouge, LA USA
                [4 ]GRID grid.264262.6, ISNI 0000 0001 0725 9953, Department of Environmental Science & Ecology, , State University of New York at Brockport, ; Brockport, NY USA
                [5 ]GRID grid.264257.0, ISNI 0000 0004 0387 8708, Department of Environmental Biology, , State University of New York College of Environmental Science and Forestry, ; Syracuse, NY USA
                Article
                20875
                10.1038/s41598-022-20875-4
                9529906
                36192509
                94d5d023-2112-4629-95dd-25852b2d3c86
                © 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
                : 29 July 2022
                : 20 September 2022
                Funding
                Funded by: New York State Museum
                Funded by: SUNY-ESF
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                evolution,molecular evolution,phylogenetics,population genetics,speciation,taxonomy
                Uncategorized
                evolution, molecular evolution, phylogenetics, population genetics, speciation, taxonomy

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