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      Genetic differentiation and signatures of local adaptation revealed by RADseq for a highly dispersive mud crab Scylla olivacea (Herbst, 1796) in the Sulu Sea

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          Abstract

          Connectivity of marine populations is shaped by complex interactions between biological and physical processes across the seascape. The influence of environmental features on the genetic structure of populations has key implications for the dynamics and persistence of populations, and an understanding of spatial scales and patterns of connectivity is crucial for management and conservation. This study employed a seascape genomics approach combining larval dispersal modeling and population genomic analysis using single nucleotide polymorphisms (SNPs) obtained from RADseq to examine environmental factors influencing patterns of genetic structure and connectivity for a highly dispersive mud crab Scylla olivacea (Herbst, 1796) in the Sulu Sea. Dispersal simulations reveal widespread but asymmetric larval dispersal influenced by persistent southward and westward surface circulation features in the Sulu Sea. Despite potential for widespread dispersal across the Sulu Sea, significant genetic differentiation was detected among eight populations based on 1,655 SNPs ( F ST  = 0.0057, p < .001) and a subset of 1,643 putatively neutral SNP markers ( F ST  = 0.0042, p < .001). Oceanography influences genetic structure, with redundancy analysis (RDA) indicating significant contribution of asymmetric ocean currents to neutral genetic variation ( R2adj = 0.133, p = .035). Genetic structure may also reflect demographic factors, with divergent populations characterized by low effective population sizes ( N e < 50). Pronounced latitudinal genetic structure was recovered for loci putatively under selection ( F ST  = 0.2390, p < .001), significantly correlated with sea surface temperature variabilities during peak spawning months for S. olivacea ( R2adj = 0.692–0.763; p < .050), suggesting putative signatures of selection and local adaptation to thermal clines. While oceanography and dispersal ability likely shape patterns of gene flow and genetic structure of S. olivacea across the Sulu Sea, the impacts of genetic drift and natural selection influenced by sea surface temperature also appear as likely drivers of population genetic structure. This study contributes to the growing body of literature documenting population genetic structure and local adaptation for highly dispersive marine species, and provides information useful for spatial management of the fishery resource.

          Abstract

          This research presents a seascape genomics approach using combined biophysical modeling and RADseq data to examine the genetic structure of a highly dispersive mud crab Scylla olivacea in the Sulu Sea, Philippines. We report significant genetic differentiation found using mostly neutral markers despite potential for widespread connectivity as indicated by the model simulations. Our study also highlights the pattern of latitudinal genetic structure as revealed by the outlier loci, suggesting local adaptation to environmental clines such as sea surface temperature.

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          Most cited references136

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          MultiQC: summarize analysis results for multiple tools and samples in a single report

          Motivation: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis. Results: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified. MultiQC can plot data from many common bioinformatics tools and is built to allow easy extension and customization. Availability and implementation: MultiQC is available with an GNU GPLv3 license on GitHub, the Python Package Index and Bioconda. Documentation and example reports are available at http://multiqc.info Contact: phil.ewels@scilifelab.se
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            Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

            We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
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              adegenet: a R package for the multivariate analysis of genetic markers.

              The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers. It extends the ade4 package of multivariate methods by implementing formal classes and functions to manipulate and analyse genetic markers. Data can be imported from common population genetics software and exported to other software and R packages. adegenet also implements standard population genetics tools along with more original approaches for spatial genetics and hybridization. Stable version is available from CRAN: http://cran.r-project.org/mirrors.html. Development version is available from adegenet website: http://adegenet.r-forge.r-project.org/. Both versions can be installed directly from R. adegenet is distributed under the GNU General Public Licence (v.2).
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                Author and article information

                Contributors
                michaeljohnmendiola@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                04 May 2021
                June 2021
                : 11
                : 12 ( doiID: 10.1002/ece3.v11.12 )
                : 7951-7969
                Affiliations
                [ 1 ] The Marine Science Institute University of the Philippines Diliman Quezon City Philippines
                Author notes
                [*] [* ] Correspondence

                Michael John R. Mendiola, The Marine Science Institute, University of the Philippines Diliman, Quezon City 1101, Philippines.

                Email: michaeljohnmendiola@ 123456gmail.com

                Author information
                https://orcid.org/0000-0003-4329-7257
                https://orcid.org/0000-0003-3570-2005
                Article
                ECE37625
                10.1002/ece3.7625
                8216953
                34188864
                45250760-bc25-4f62-bb3b-a4f1e9c9ec5f
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 March 2021
                : 27 October 2020
                : 06 April 2021
                Page count
                Figures: 6, Tables: 4, Pages: 19, Words: 15501
                Funding
                Funded by: Department of Science and Technology—Philippine Council for Agriculture, Aquatic, and Natural Resources Research and Development, Republic of the Philippines , open-funder-registry 10.13039/501100010892;
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:21.06.2021

                Evolutionary Biology
                marine connectivity,mud crab,population genomics,rad sequencing,seascape genetics,sulu sea

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