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New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic simulations
The great scallop (Pecten maximus) is a commercially important bivalve in Europe, particularly in the English Channel, where fisheries are managed at regional and local scales through the regulation of fishing effort. In the long term, knowledge about larval dispersal and gene flow between populatio...
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Published in: | Aquatic conservation 2020-10, Vol.30 (10), p.1841-1853 |
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creator | Handal, William Szostek, Claire Hold, Natalie Andrello, Marco Thiébaut, Eric Harney, Ewan Lefebvre, Gwendoline Borcier, Elodie Jolivet, Aurélie Nicolle, Amandine Boyé, Aurélien Foucher, Eric Boudry, Pierre Charrier, Grégory |
description | The great scallop (Pecten maximus) is a commercially important bivalve in Europe, particularly in the English Channel, where fisheries are managed at regional and local scales through the regulation of fishing effort. In the long term, knowledge about larval dispersal and gene flow between populations is essential to ensure proper stock management. Yet, previous population genetic studies have reported contradictory results.
In this study, scallop samples collected across the main fishing grounds along the French and English coasts of the English Channel (20 samples with temporal replicates for three sites, n = 1059 individuals), and the population genetic structure was analysed using 13 microsatellite loci. Coupling empirical genetic data with demogenetic modelling based on a biophysical model simulating larval exchanges among scallop beds revealed a subtle genetic differentiation between south‐west English populations and the rest of the English Channel, which was consistent with larval dispersal simulations.
The present study provides a step forward in the understanding of great scallop population biology in the English Channel, underlining the fact that even in a context of potentially high gene flow and recent divergence times since the end of the last glacial maximum, weak but significant spatial genetic structure can be identified at a regional scale. |
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In this study, scallop samples collected across the main fishing grounds along the French and English coasts of the English Channel (20 samples with temporal replicates for three sites, n = 1059 individuals), and the population genetic structure was analysed using 13 microsatellite loci. Coupling empirical genetic data with demogenetic modelling based on a biophysical model simulating larval exchanges among scallop beds revealed a subtle genetic differentiation between south‐west English populations and the rest of the English Channel, which was consistent with larval dispersal simulations.
The present study provides a step forward in the understanding of great scallop population biology in the English Channel, underlining the fact that even in a context of potentially high gene flow and recent divergence times since the end of the last glacial maximum, weak but significant spatial genetic structure can be identified at a regional scale.</description><identifier>ISSN: 1052-7613</identifier><identifier>EISSN: 1099-0755</identifier><identifier>DOI: 10.1002/aqc.3316</identifier><language>eng</language><publisher>Oxford: Wiley Subscription Services, Inc</publisher><subject>Animal biology ; Biology ; Computer simulation ; Coupling ; Dispersal ; Dispersion ; Empirical analysis ; English Channel ; Fisheries ; Fisheries management ; Fishing ; Fishing effort ; Fishing grounds ; Fishing zones ; Gene flow ; Genetic analysis ; genetic modelling ; genetic resources management ; Genetic structure ; great scallop ; Larvae ; Life Sciences ; low genetic structure ; Marine molluscs ; Microsatellites ; Mollusks ; Ocean, Atmosphere ; Pecten maximus ; Population ; Population biology ; Population genetics ; Population studies ; Populations ; Sciences of the Universe</subject><ispartof>Aquatic conservation, 2020-10, Vol.30 (10), p.1841-1853</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3616-7082798fc8a44d90ebf0b0eb58f6d2ad2ee1c30db436dab7881f8a7493639b2e3</citedby><cites>FETCH-LOGICAL-c3616-7082798fc8a44d90ebf0b0eb58f6d2ad2ee1c30db436dab7881f8a7493639b2e3</cites><orcidid>0000-0002-5150-2276 ; 0000-0002-5832-8856 ; 0000-0002-8730-9267 ; 0000-0001-5415-3326 ; 0000-0002-3704-2947 ; 0000-0001-7590-2736</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://ensta-bretagne.hal.science/hal-02956416$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Handal, William</creatorcontrib><creatorcontrib>Szostek, Claire</creatorcontrib><creatorcontrib>Hold, Natalie</creatorcontrib><creatorcontrib>Andrello, Marco</creatorcontrib><creatorcontrib>Thiébaut, Eric</creatorcontrib><creatorcontrib>Harney, Ewan</creatorcontrib><creatorcontrib>Lefebvre, Gwendoline</creatorcontrib><creatorcontrib>Borcier, Elodie</creatorcontrib><creatorcontrib>Jolivet, Aurélie</creatorcontrib><creatorcontrib>Nicolle, Amandine</creatorcontrib><creatorcontrib>Boyé, Aurélien</creatorcontrib><creatorcontrib>Foucher, Eric</creatorcontrib><creatorcontrib>Boudry, Pierre</creatorcontrib><creatorcontrib>Charrier, Grégory</creatorcontrib><title>New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic simulations</title><title>Aquatic conservation</title><description>The great scallop (Pecten maximus) is a commercially important bivalve in Europe, particularly in the English Channel, where fisheries are managed at regional and local scales through the regulation of fishing effort. In the long term, knowledge about larval dispersal and gene flow between populations is essential to ensure proper stock management. Yet, previous population genetic studies have reported contradictory results.
In this study, scallop samples collected across the main fishing grounds along the French and English coasts of the English Channel (20 samples with temporal replicates for three sites, n = 1059 individuals), and the population genetic structure was analysed using 13 microsatellite loci. Coupling empirical genetic data with demogenetic modelling based on a biophysical model simulating larval exchanges among scallop beds revealed a subtle genetic differentiation between south‐west English populations and the rest of the English Channel, which was consistent with larval dispersal simulations.
The present study provides a step forward in the understanding of great scallop population biology in the English Channel, underlining the fact that even in a context of potentially high gene flow and recent divergence times since the end of the last glacial maximum, weak but significant spatial genetic structure can be identified at a regional scale.</description><subject>Animal biology</subject><subject>Biology</subject><subject>Computer simulation</subject><subject>Coupling</subject><subject>Dispersal</subject><subject>Dispersion</subject><subject>Empirical analysis</subject><subject>English Channel</subject><subject>Fisheries</subject><subject>Fisheries management</subject><subject>Fishing</subject><subject>Fishing effort</subject><subject>Fishing grounds</subject><subject>Fishing zones</subject><subject>Gene flow</subject><subject>Genetic analysis</subject><subject>genetic modelling</subject><subject>genetic resources management</subject><subject>Genetic structure</subject><subject>great scallop</subject><subject>Larvae</subject><subject>Life Sciences</subject><subject>low genetic structure</subject><subject>Marine molluscs</subject><subject>Microsatellites</subject><subject>Mollusks</subject><subject>Ocean, Atmosphere</subject><subject>Pecten maximus</subject><subject>Population</subject><subject>Population biology</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Populations</subject><subject>Sciences of the Universe</subject><issn>1052-7613</issn><issn>1099-0755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10d9r1TAUB_AiDpyb4J8Q8GUDuyVNm7SPl8vchItT0OeQpqdtRpp0SercX7R_0_RW9uZLfvHhm3M4WfaR4CuCcXEtH9UVpYS9yU4Jbpoc86p6u56rIueM0HfZ-xAeMMYNI-w0e_kGT0jboIcxBuQsiiOg2c2LkVGn6wAWolYoRL-ouHhArj-awYOMKChpjJvRxXdQESya5B89LeEyRR7VjR2MDiPaj9JaMJ-RcststB3QpJV3QUYwRkdAnYwSSduhDib3-mnK2uoI59lJL02AD__2s-zXl5uf-7v8cH_7db875IqmfnKO64I3da9qWZZdg6HtcZvWqu5ZV8iuACCK4q4tKetky-ua9LXkZUMZbdoC6Fl2ueWO0ojZ60n6Z-GkFne7g1jfcNFUrCTsN0n202Zn7x4XCFE8uMXbVJ4oyrJmnFecJ3WxqbXf4KF_jSVYrCMTaWRiHVmi-UaftIHn_zqx-7E_-r-f5pol</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Handal, William</creator><creator>Szostek, Claire</creator><creator>Hold, Natalie</creator><creator>Andrello, Marco</creator><creator>Thiébaut, Eric</creator><creator>Harney, Ewan</creator><creator>Lefebvre, Gwendoline</creator><creator>Borcier, Elodie</creator><creator>Jolivet, Aurélie</creator><creator>Nicolle, Amandine</creator><creator>Boyé, Aurélien</creator><creator>Foucher, Eric</creator><creator>Boudry, Pierre</creator><creator>Charrier, Grégory</creator><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7TN</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H95</scope><scope>H99</scope><scope>L.F</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5150-2276</orcidid><orcidid>https://orcid.org/0000-0002-5832-8856</orcidid><orcidid>https://orcid.org/0000-0002-8730-9267</orcidid><orcidid>https://orcid.org/0000-0001-5415-3326</orcidid><orcidid>https://orcid.org/0000-0002-3704-2947</orcidid><orcidid>https://orcid.org/0000-0001-7590-2736</orcidid></search><sort><creationdate>202010</creationdate><title>New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic simulations</title><author>Handal, William ; Szostek, Claire ; Hold, Natalie ; Andrello, Marco ; Thiébaut, Eric ; Harney, Ewan ; Lefebvre, Gwendoline ; Borcier, Elodie ; Jolivet, Aurélie ; Nicolle, Amandine ; Boyé, Aurélien ; Foucher, Eric ; Boudry, Pierre ; Charrier, Grégory</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3616-7082798fc8a44d90ebf0b0eb58f6d2ad2ee1c30db436dab7881f8a7493639b2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animal biology</topic><topic>Biology</topic><topic>Computer simulation</topic><topic>Coupling</topic><topic>Dispersal</topic><topic>Dispersion</topic><topic>Empirical analysis</topic><topic>English Channel</topic><topic>Fisheries</topic><topic>Fisheries management</topic><topic>Fishing</topic><topic>Fishing effort</topic><topic>Fishing grounds</topic><topic>Fishing zones</topic><topic>Gene flow</topic><topic>Genetic analysis</topic><topic>genetic modelling</topic><topic>genetic resources management</topic><topic>Genetic structure</topic><topic>great scallop</topic><topic>Larvae</topic><topic>Life Sciences</topic><topic>low genetic structure</topic><topic>Marine molluscs</topic><topic>Microsatellites</topic><topic>Mollusks</topic><topic>Ocean, Atmosphere</topic><topic>Pecten maximus</topic><topic>Population</topic><topic>Population biology</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Populations</topic><topic>Sciences of the Universe</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Handal, William</creatorcontrib><creatorcontrib>Szostek, Claire</creatorcontrib><creatorcontrib>Hold, Natalie</creatorcontrib><creatorcontrib>Andrello, Marco</creatorcontrib><creatorcontrib>Thiébaut, Eric</creatorcontrib><creatorcontrib>Harney, Ewan</creatorcontrib><creatorcontrib>Lefebvre, Gwendoline</creatorcontrib><creatorcontrib>Borcier, Elodie</creatorcontrib><creatorcontrib>Jolivet, Aurélie</creatorcontrib><creatorcontrib>Nicolle, Amandine</creatorcontrib><creatorcontrib>Boyé, Aurélien</creatorcontrib><creatorcontrib>Foucher, Eric</creatorcontrib><creatorcontrib>Boudry, Pierre</creatorcontrib><creatorcontrib>Charrier, Grégory</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oceanic Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>ASFA: Marine Biotechnology Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Marine Biotechnology Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Aquatic conservation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Handal, William</au><au>Szostek, Claire</au><au>Hold, Natalie</au><au>Andrello, Marco</au><au>Thiébaut, Eric</au><au>Harney, Ewan</au><au>Lefebvre, Gwendoline</au><au>Borcier, Elodie</au><au>Jolivet, Aurélie</au><au>Nicolle, Amandine</au><au>Boyé, Aurélien</au><au>Foucher, Eric</au><au>Boudry, Pierre</au><au>Charrier, Grégory</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic simulations</atitle><jtitle>Aquatic conservation</jtitle><date>2020-10</date><risdate>2020</risdate><volume>30</volume><issue>10</issue><spage>1841</spage><epage>1853</epage><pages>1841-1853</pages><issn>1052-7613</issn><eissn>1099-0755</eissn><abstract>The great scallop (Pecten maximus) is a commercially important bivalve in Europe, particularly in the English Channel, where fisheries are managed at regional and local scales through the regulation of fishing effort. In the long term, knowledge about larval dispersal and gene flow between populations is essential to ensure proper stock management. Yet, previous population genetic studies have reported contradictory results.
In this study, scallop samples collected across the main fishing grounds along the French and English coasts of the English Channel (20 samples with temporal replicates for three sites, n = 1059 individuals), and the population genetic structure was analysed using 13 microsatellite loci. Coupling empirical genetic data with demogenetic modelling based on a biophysical model simulating larval exchanges among scallop beds revealed a subtle genetic differentiation between south‐west English populations and the rest of the English Channel, which was consistent with larval dispersal simulations.
The present study provides a step forward in the understanding of great scallop population biology in the English Channel, underlining the fact that even in a context of potentially high gene flow and recent divergence times since the end of the last glacial maximum, weak but significant spatial genetic structure can be identified at a regional scale.</abstract><cop>Oxford</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/aqc.3316</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-5150-2276</orcidid><orcidid>https://orcid.org/0000-0002-5832-8856</orcidid><orcidid>https://orcid.org/0000-0002-8730-9267</orcidid><orcidid>https://orcid.org/0000-0001-5415-3326</orcidid><orcidid>https://orcid.org/0000-0002-3704-2947</orcidid><orcidid>https://orcid.org/0000-0001-7590-2736</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal biology Biology Computer simulation Coupling Dispersal Dispersion Empirical analysis English Channel Fisheries Fisheries management Fishing Fishing effort Fishing grounds Fishing zones Gene flow Genetic analysis genetic modelling genetic resources management Genetic structure great scallop Larvae Life Sciences low genetic structure Marine molluscs Microsatellites Mollusks Ocean, Atmosphere Pecten maximus Population Population biology Population genetics Population studies Populations Sciences of the Universe |
title | New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic simulations |
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