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      Whole genome population structure of North Atlantic kelp confirms high‐latitude glacial refugia

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          Abstract

          Coastal refugia during the Last Glacial Maximum (~21,000 years ago) have been hypothesized at high latitudes in the North Atlantic, suggesting marine populations persisted through cycles of glaciation and are potentially adapted to local environments. Here, whole‐genome sequencing was used to test whether North Atlantic marine coastal populations of the kelp Alaria esculenta survived in the area of southwestern Greenland during the Last Glacial Maximum. We present the first annotated genome for A. esculenta and call variant positions in 54 individuals from populations in Atlantic Canada, Greenland, Faroe Islands, Norway and Ireland. Differentiation across populations was reflected in ~1.9 million single nucleotide polymorphisms, which further revealed mixed ancestry in the Faroe Islands individuals between putative Greenlandic and European lineages. Time‐calibrated organellar phylogenies suggested Greenlandic populations were established during the last interglacial period more than 100,000 years ago, and that the Faroe Islands population was probably established following the Last Glacial Maximum. Patterns in population statistics, including nucleotide diversity, minor allele frequencies, heterozygosity and linkage disequilibrium decay, nonetheless suggested glaciation reduced Canadian Atlantic and Greenlandic populations to small effective sizes during the most recent glaciation. Functional differentiation was further reflected in exon read coverage, which revealed expansions unique to Greenland in 337 exons representing 162 genes, and a modest degree of exon loss (103 exons from 56 genes). Altogether, our genomic results provide strong evidence that A. esculenta populations were resilient to past climatic fluctuations related to glaciations and that high‐latitude populations are potentially already adapted to local conditions as a result.

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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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              STAR: ultrafast universal RNA-seq aligner.

              Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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                Author and article information

                Contributors
                trevor.bringloe@unimelb.edu.au
                Journal
                Mol Ecol
                Mol Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                27 October 2022
                December 2022
                : 31
                : 24 ( doiID: 10.1111/mec.v31.24 )
                : 6473-6488
                Affiliations
                [ 1 ] School of BioSciences University of Melbourne Parkville Victoria Australia
                [ 2 ] Plant Systems Biology Lab, Ryan Institute, SFI MaREI Centre for Climate, Energy and Marine, School of Natural Sciences National University of Ireland Galway Galway Ireland
                [ 3 ] Business Development Manager Marine Innovation Development Centre Páirc Na Mara Galway Ireland
                [ 4 ] TARI – Faroe Seaweed Runavík Faroe Islands
                [ 5 ] School of Biological Sciences and UWA Oceans Institute University of Western Australia Perth Western Australia Australia
                [ 6 ] Kobe University Research Center for Inland Seas Kobe University Kobe Japan
                [ 7 ] School of Marine Biosciences Kitasato University Sagamihara Japan
                [ 8 ] Department of Ecoscience Aarhus University Aarhus Denmark
                [ 9 ] Arctic Research Center Aarhus University Aarhus Denmark
                [ 10 ] Department of Biology Aarhus University Aarhus Denmark
                [ 11 ] Department of Biology University of Victoria Victoria Canada
                [ 12 ]Present address: Department of Life and Physical Sciences Athlone Institute of Technology Athlone Ireland
                Author notes
                [*] [* ] Correspondence

                Trevor T. Bringloe, School of BioSciences, University of Melbourne, Parkville Campus, Victoria, Australia.

                Email: trevor.bringloe@ 123456unimelb.edu.au

                Author information
                https://orcid.org/0000-0002-5976-6700
                https://orcid.org/0000-0002-6113-9570
                https://orcid.org/0000-0001-8413-6797
                https://orcid.org/0000-0001-9792-256X
                https://orcid.org/0000-0002-9604-9188
                https://orcid.org/0000-0002-6305-4749
                Article
                MEC16714 MEC-22-0800
                10.1111/mec.16714
                10091776
                36200326
                c45af20e-5a74-4933-b80b-57e35fec3729
                © 2022 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 16 February 2022
                : 21 September 2022
                Page count
                Figures: 4, Tables: 0, Pages: 16, Words: 12305
                Funding
                Funded by: ArcticNet , doi 10.13039/501100000003;
                Award ID: P101 ArcticKelp
                Funded by: Det Frie Forskningsråd , doi 10.13039/501100004836;
                Award ID: 8021‐00222 B
                Funded by: European Union Northern Periphery and Arctic Programme
                Award ID: SW‐GROW
                Funded by: Norwegian Research Council , doi 10.13039/501100005416;
                Award ID: DE1901006192
                Funded by: SFI Frontiers for the Future project Pristine Coasts
                Award ID: 19/FFP/6841
                Categories
                Original Article
                ORIGINAL ARTICLES
                Population and Conservation Genetics
                Custom metadata
                2.0
                December 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:12.04.2023

                Ecology
                alaria esculenta,brown algae,last glacial maximum,phaeophyceae,population genomics,whole genome sequencing

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