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      Disparate genetic divergence patterns in three corals across a pan-Pacific environmental gradient highlight species-specific adaptation

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      npj Biodiversity
      Nature Publishing Group UK
      Evolutionary genetics, Population genetics, Genetic variation, Conservation biology, Ecological genetics

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          Abstract

          Tropical coral reefs are among the most affected ecosystems by climate change and face increasing loss in the coming decades. Effective conservation strategies that maximize ecosystem resilience must be informed by the accurate characterization of extant genetic diversity and population structure together with an understanding of the adaptive potential of keystone species. Here we analyzed samples from the Tara Pacific Expedition (2016–2018) that completed an 18,000 km longitudinal transect of the Pacific Ocean sampling three widespread corals— Pocillopora meandrina, Porites lobata, and Millepora cf. platyphylla—across 33 sites from 11 islands. Using deep metagenomic sequencing of 269 colonies in conjunction with morphological analyses and climate variability data, we can show that despite a targeted sampling the transect encompasses multiple cryptic species. These species exhibit disparate biogeographic patterns and, most importantly, distinct evolutionary patterns in identical environmental regimes. Our findings demonstrate on a basin scale that evolutionary trajectories are species-specific and can only in part be predicted from the environment. This highlights that conservation strategies must integrate multi-species investigations to discern the distinct genomic footprints shaped by selection as well as the genetic potential for adaptive change.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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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 and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                christian.voolstra@uni-konstanz.de
                didier.forcioli@univ-cotedazur.fr
                Journal
                NPJ Biodivers
                NPJ Biodivers
                npj Biodiversity
                Nature Publishing Group UK (London )
                2731-4243
                7 July 2023
                7 July 2023
                2023
                : 2
                : 15
                Affiliations
                [1 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, Department of Biology, , University of Konstanz, ; 78457 Konstanz, Germany
                [2 ]GRID grid.11136.34, ISNI 0000 0001 2192 5916, PSL Research University, EPHE, CNRS, , Université de Perpignan, ; Perpignan, France
                [3 ]GRID grid.20515.33, ISNI 0000 0001 2369 4728, Shimoda Marine Research Center, , University of Tsukuba, ; 5-10-1, Shimoda, Shizuoka, Japan
                [4 ]GRID grid.460782.f, ISNI 0000 0004 4910 6551, Université Côte d’Azur, CNRS, INSERM, Institute for Research on Cancer and Aging, Nice (IRCAN), ; Nice, France
                [5 ]GRID grid.452353.6, ISNI 0000 0004 0550 8241, LIA ROPSE, Laboratoire International Associé Université Côte d’Azur—Centre Scientifique de Monaco, ; Monaco, Principality of Monaco
                [6 ]GRID grid.460782.f, ISNI 0000 0004 4910 6551, French National Institute for Agriculture, Food, and Environment (INRAE), , Université Côte d’Azur, ; ISA, France
                [7 ]UMR 250/9220 ENTROPIE UR-IRD-CNRS-Ifremer-UNC, Laboratoire d’Excellence CORAIL, Université de la Réunion, St Denis de la Réunion, France
                [8 ]GRID grid.11136.34, ISNI 0000 0001 2192 5916, PSL Research University: EPHE-UPVD-CNRS, USR 3278 CRIOBE, Laboratoire d’Excellence CORAIL, Université de Perpignan, 52 Avenue Paul Alduy, ; 66860 Perpignan, France
                [9 ]GRID grid.8390.2, ISNI 0000 0001 2180 5818, Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, ; Evry, France
                [10 ]Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, 3 rue Michel-Ange, 75016 Paris, France
                [11 ]GRID grid.418270.8, ISNI 0000 0004 0428 7635, Centro de Investigaciones Biológicas del Noroeste (CIBNOR), ; Av. IPN 195, Col. Playa Palo de Santa Rita Sur, La Paz, 23096 Baja California Sur México
                [12 ]GRID grid.452353.6, ISNI 0000 0004 0550 8241, Centre Scientifique de Monaco, ; 8 Quai Antoine Ier, MC-98000 Monaco, Principality of Monaco
                [13 ]Fondation Tara Océan, Base Tara, 8 rue de Prague, 75 012 Paris, France
                [14 ]GRID grid.21106.34, ISNI 0000000121820794, School of Marine Sciences, , University of Maine, ; Orono, 04469 ME USA
                [15 ]Sorbonne Université, CNRS, Station Biologique de Roscoff, AD2M, UMR 7144, ECOMAP, Roscoff, France
                [16 ]GRID grid.462036.5, Institut de Biologie de l’Ecole Normale Supérieure, Ecole Normale Supérieure, CNRS, INSERM, Université PSL, ; Paris, France
                [17 ]GRID grid.460789.4, ISNI 0000 0004 4910 6535, Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, , Université Paris-Saclay, ; Gif-sur-Yvette, France
                [18 ]GRID grid.13992.30, ISNI 0000 0004 0604 7563, Weizmann Institute of Science, Department of Earth and Planetary Sciences, ; 76100 Rehovot, Israel
                [19 ]Sorbonne Université, CNRS, Laboratoire d’Ecogéochimie des Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls, Banyuls-sur-Mer, France
                [20 ]GRID grid.410528.a, ISNI 0000 0001 2322 4179, Department of Medical Genetics, , CHU Nice, ; Nice, France
                [21 ]GRID grid.499565.2, ISNI 0000 0004 0366 8890, Laboratoire d’Océanographie de Villefranche, UMR 7093, Sorbonne Université, CNRS, ; 06230 Villefranche sur mer, France
                [22 ]GRID grid.440891.0, ISNI 0000 0001 1931 4817, Institut Universitaire de France, ; 75231 Paris, France
                [23 ]GRID grid.225360.0, ISNI 0000 0000 9709 7726, European Molecular Biology Laboratory, European Bioinformatics Institute, , Wellcome Genome Campus, Hinxton, ; Cambridge, CB10 1SD UK
                [24 ]GRID grid.261331.4, ISNI 0000 0001 2285 7943, Department of Microbiology and Department of Civil, Environmental and Geodetic Engineering, , The Ohio State University, ; Columbus, OH USA
                [25 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, , ETH Zürich, ; Zurich, Switzerland
                [26 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, School of Biological and Chemical Sciences, Ryan Institute, , University of Galway, ; University Road, H91 TK33 Galway, Ireland
                [27 ]GRID grid.4391.f, ISNI 0000 0001 2112 1969, Department of Microbiology, , Oregon State University, ; Corvallis, OR USA
                Article
                20
                10.1038/s44185-023-00020-8
                11332039
                351d3a6f-a61d-455c-8e8c-27f974c43c4e
                © The Author(s) 2023

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 February 2023
                : 13 June 2023
                Funding
                Funded by: University of Konstanz
                Award ID: AFF funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: "France Génomique" ANR-10-INBS-09
                Award ID: "Coralgene"ANR-17-CE02-0020
                Award ID: "Coralgene"ANR-17-CE02-0020
                Award ID: "Coralgene"ANR-17-CE02-0020
                Funded by: JST Spring
                Award ID: JPMJSP2124
                Funded by: Labex Signalife
                Award ID: ANR-11-LABX-0028
                Award ID: ANR-11-LABX-0028
                Award ID: ANR-11-LABX-0028
                Funded by: IDEX UCAJedi
                Award ID: ANR-15-IDEX-0001
                Award ID: ANR-15-IDEX-0001
                Award ID: ANR-15-IDEX-0001
                Funded by: FundRef http://dx.doi.org/10.13039/100010665, H2020 Marie Skłodowska-Curie Actions;
                Award ID: MC-CIG-618480
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                © Springer Nature Limited 2023

                evolutionary genetics,population genetics,genetic variation,conservation biology,ecological genetics

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