Genetic structure among 50 species of the northeastern Pacific rocky intertidal community
Comparing many species' population genetic patterns across the same seascape can identify species with different levels of structure, and suggest hypotheses about the processes that cause such variation for species in the same ecosystem. This comparative approach helps focus on geographic barri...
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description | Comparing many species' population genetic patterns across the same seascape can identify species with different levels of structure, and suggest hypotheses about the processes that cause such variation for species in the same ecosystem. This comparative approach helps focus on geographic barriers and selective or demographic processes that define genetic connectivity on an ecosystem scale, the understanding of which is particularly important for large-scale management efforts. Moreover, a multispecies dataset has great statistical advantages over single-species studies, lending explanatory power in an effort to uncover the mechanisms driving population structure. Here, we analyze a 50-species dataset of Pacific nearshore invertebrates with the aim of discovering the most influential structuring factors along the Pacific coast of North America. We collected cytochrome c oxidase I (COI) mtDNA data from populations of 34 species of marine invertebrates sampled coarsely at four coastal locations in California, Oregon, and Alaska, and added published data from 16 additional species. All nine species with non-pelagic development have strong genetic structure. For the 41 species with pelagic development, 13 show significant genetic differentiation, nine of which show striking FST levels of 0.1-0.6. Finer scale geographic investigations show unexpected regional patterns of genetic change near Cape Mendocino in northern California for five of the six species tested. The region between Oregon and Alaska is a second focus of intraspecific genetic change, showing differentiation in half the species tested. Across regions, strong genetic subdivision occurs more often than expected in mid-to-high intertidal species, a result that may reflect reduced gene flow due to natural selection along coastal environmental gradients. Finally, the results highlight the importance of making primary research accessible to policymakers, as unexpected barriers to marine dispersal break the coast into separate demographic zones that may require their own management plans. |
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This comparative approach helps focus on geographic barriers and selective or demographic processes that define genetic connectivity on an ecosystem scale, the understanding of which is particularly important for large-scale management efforts. Moreover, a multispecies dataset has great statistical advantages over single-species studies, lending explanatory power in an effort to uncover the mechanisms driving population structure. Here, we analyze a 50-species dataset of Pacific nearshore invertebrates with the aim of discovering the most influential structuring factors along the Pacific coast of North America. We collected cytochrome c oxidase I (COI) mtDNA data from populations of 34 species of marine invertebrates sampled coarsely at four coastal locations in California, Oregon, and Alaska, and added published data from 16 additional species. All nine species with non-pelagic development have strong genetic structure. For the 41 species with pelagic development, 13 show significant genetic differentiation, nine of which show striking FST levels of 0.1-0.6. Finer scale geographic investigations show unexpected regional patterns of genetic change near Cape Mendocino in northern California for five of the six species tested. The region between Oregon and Alaska is a second focus of intraspecific genetic change, showing differentiation in half the species tested. Across regions, strong genetic subdivision occurs more often than expected in mid-to-high intertidal species, a result that may reflect reduced gene flow due to natural selection along coastal environmental gradients. Finally, the results highlight the importance of making primary research accessible to policymakers, as unexpected barriers to marine dispersal break the coast into separate demographic zones that may require their own management plans.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0008594</identifier><identifier>PMID: 20062807</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Biodiversity ; Biogeography ; Bioinformatics ; Biology ; Biometrics ; Coastal ecosystems ; Coastal environments ; Coastal zone ; Coasts ; Comparative analysis ; Cytochrome ; Cytochrome-c oxidase ; Data analysis ; Demographics ; Differentiation ; Dispersal ; DNA, Mitochondrial - genetics ; Ecology/Marine and Freshwater Ecology ; Ecology/Population Ecology ; Ecosystem biology ; Ecosystems ; Electron Transport Complex IV - genetics ; Environmental changes ; Fisheries ; Gene flow ; Genetic research ; Genetic structure ; Genetics and Genomics/Population Genetics ; Genetics, Population ; Integrated software ; Invertebrates ; Marine and Aquatic Sciences/Biological Oceanography ; Marine and Aquatic Sciences/Ecology ; Marine and Aquatic Sciences/Evolutionary Biology ; Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding ; Marine Biology ; Marine ecology ; Marine invertebrates ; Mitochondrial DNA ; Natural selection ; Northwestern United States ; Paleobiology ; Population (statistical) ; Population genetics ; Population structure ; Software packages ; Species ; Tide pools ; Tigriopus californicus</subject><ispartof>PloS one, 2010-01, Vol.5 (1), p.e8594-e8594</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Kelly, Palumbi. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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This comparative approach helps focus on geographic barriers and selective or demographic processes that define genetic connectivity on an ecosystem scale, the understanding of which is particularly important for large-scale management efforts. Moreover, a multispecies dataset has great statistical advantages over single-species studies, lending explanatory power in an effort to uncover the mechanisms driving population structure. Here, we analyze a 50-species dataset of Pacific nearshore invertebrates with the aim of discovering the most influential structuring factors along the Pacific coast of North America. We collected cytochrome c oxidase I (COI) mtDNA data from populations of 34 species of marine invertebrates sampled coarsely at four coastal locations in California, Oregon, and Alaska, and added published data from 16 additional species. All nine species with non-pelagic development have strong genetic structure. 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Finally, the results highlight the importance of making primary research accessible to policymakers, as unexpected barriers to marine dispersal break the coast into separate demographic zones that may require their own management plans.</description><subject>Animals</subject><subject>Biodiversity</subject><subject>Biogeography</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biometrics</subject><subject>Coastal ecosystems</subject><subject>Coastal environments</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Comparative analysis</subject><subject>Cytochrome</subject><subject>Cytochrome-c oxidase</subject><subject>Data analysis</subject><subject>Demographics</subject><subject>Differentiation</subject><subject>Dispersal</subject><subject>DNA, Mitochondrial - genetics</subject><subject>Ecology/Marine and Freshwater Ecology</subject><subject>Ecology/Population Ecology</subject><subject>Ecosystem biology</subject><subject>Ecosystems</subject><subject>Electron Transport Complex IV - genetics</subject><subject>Environmental changes</subject><subject>Fisheries</subject><subject>Gene flow</subject><subject>Genetic research</subject><subject>Genetic structure</subject><subject>Genetics and Genomics/Population Genetics</subject><subject>Genetics, Population</subject><subject>Integrated software</subject><subject>Invertebrates</subject><subject>Marine and Aquatic Sciences/Biological Oceanography</subject><subject>Marine and Aquatic Sciences/Ecology</subject><subject>Marine and Aquatic Sciences/Evolutionary Biology</subject><subject>Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding</subject><subject>Marine Biology</subject><subject>Marine ecology</subject><subject>Marine invertebrates</subject><subject>Mitochondrial DNA</subject><subject>Natural selection</subject><subject>Northwestern United States</subject><subject>Paleobiology</subject><subject>Population (statistical)</subject><subject>Population genetics</subject><subject>Population structure</subject><subject>Software packages</subject><subject>Species</subject><subject>Tide pools</subject><subject>Tigriopus californicus</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7jr6D0QLguLFjPlqm94Iy6LrwMKKX-BVSNPTTsY2mU1Scf69qdNdprKg5CLh7XPepG9ykuQpRitMC_xmawdnZLfaWQMrhBDPSnYvOcUlJcucIHr_aH2SPPJ-i1BGeZ4_TE4IQjnhqDhNvl-AgaBV6oMbVBgcpLK3pk0zlPodKA0-tU0aNpAa6-IkfQBn0o9S6SaWOat-7FNtohh0LbtU2b4fjA77x8mDRnYenkzzIvn6_t2X8w_Ly6uL9fnZ5VIVvAxLXgDOJOcUMQwYcaw45RRA1VjWqipZVECiUcTQENJwDgwrWtQ049BwukieH3x3nfViSsULTHhJsiImEIn1gait3Iqd0710e2GlFn8E61oh4-lVB4KxmFHcAjEAJmVVNgqrqqqYzIFlVEWvt9NuQ9VDrcAEJ7uZ6fyL0RvR2p-CFGWZERYNXk0Gzl4P4IPotVfQddKAHbwoWI4QprT4N0lpxijJaSRf_EXeHcNEtTL-qTaNjQdUo6c4YwUtCR7NFsnqDiqOGnqt4ltrdNRnBa9nBZEJ8Cu0cvBerD9_-n_26tucfXnExofXhY233RC0NX4OsgOonPXeQXN7GxiJsVVu0hBjq4ipVWLZs-ObvC266Q36G-7WDkQ</recordid><startdate>20100107</startdate><enddate>20100107</enddate><creator>Kelly, Ryan P</creator><creator>Palumbi, Stephen R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>F1W</scope><scope>H99</scope><scope>L.F</scope><scope>L.G</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20100107</creationdate><title>Genetic structure among 50 species of the northeastern Pacific rocky intertidal community</title><author>Kelly, Ryan P ; Palumbi, Stephen R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c789t-87e15a883041e1081c8383eecd1adcb9481cea083831ef22f88e41c37d358ef83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animals</topic><topic>Biodiversity</topic><topic>Biogeography</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Biometrics</topic><topic>Coastal ecosystems</topic><topic>Coastal environments</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Comparative analysis</topic><topic>Cytochrome</topic><topic>Cytochrome-c oxidase</topic><topic>Data analysis</topic><topic>Demographics</topic><topic>Differentiation</topic><topic>Dispersal</topic><topic>DNA, Mitochondrial - genetics</topic><topic>Ecology/Marine and Freshwater Ecology</topic><topic>Ecology/Population Ecology</topic><topic>Ecosystem biology</topic><topic>Ecosystems</topic><topic>Electron Transport Complex IV - genetics</topic><topic>Environmental changes</topic><topic>Fisheries</topic><topic>Gene flow</topic><topic>Genetic research</topic><topic>Genetic structure</topic><topic>Genetics and Genomics/Population Genetics</topic><topic>Genetics, Population</topic><topic>Integrated software</topic><topic>Invertebrates</topic><topic>Marine and Aquatic Sciences/Biological Oceanography</topic><topic>Marine and Aquatic Sciences/Ecology</topic><topic>Marine and Aquatic Sciences/Evolutionary Biology</topic><topic>Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding</topic><topic>Marine Biology</topic><topic>Marine ecology</topic><topic>Marine invertebrates</topic><topic>Mitochondrial DNA</topic><topic>Natural selection</topic><topic>Northwestern United States</topic><topic>Paleobiology</topic><topic>Population (statistical)</topic><topic>Population genetics</topic><topic>Population structure</topic><topic>Software packages</topic><topic>Species</topic><topic>Tide pools</topic><topic>Tigriopus californicus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kelly, Ryan P</creatorcontrib><creatorcontrib>Palumbi, Stephen R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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This comparative approach helps focus on geographic barriers and selective or demographic processes that define genetic connectivity on an ecosystem scale, the understanding of which is particularly important for large-scale management efforts. Moreover, a multispecies dataset has great statistical advantages over single-species studies, lending explanatory power in an effort to uncover the mechanisms driving population structure. Here, we analyze a 50-species dataset of Pacific nearshore invertebrates with the aim of discovering the most influential structuring factors along the Pacific coast of North America. We collected cytochrome c oxidase I (COI) mtDNA data from populations of 34 species of marine invertebrates sampled coarsely at four coastal locations in California, Oregon, and Alaska, and added published data from 16 additional species. All nine species with non-pelagic development have strong genetic structure. For the 41 species with pelagic development, 13 show significant genetic differentiation, nine of which show striking FST levels of 0.1-0.6. Finer scale geographic investigations show unexpected regional patterns of genetic change near Cape Mendocino in northern California for five of the six species tested. The region between Oregon and Alaska is a second focus of intraspecific genetic change, showing differentiation in half the species tested. Across regions, strong genetic subdivision occurs more often than expected in mid-to-high intertidal species, a result that may reflect reduced gene flow due to natural selection along coastal environmental gradients. Finally, the results highlight the importance of making primary research accessible to policymakers, as unexpected barriers to marine dispersal break the coast into separate demographic zones that may require their own management plans.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>20062807</pmid><doi>10.1371/journal.pone.0008594</doi><tpages>e8594</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animals Biodiversity Biogeography Bioinformatics Biology Biometrics Coastal ecosystems Coastal environments Coastal zone Coasts Comparative analysis Cytochrome Cytochrome-c oxidase Data analysis Demographics Differentiation Dispersal DNA, Mitochondrial - genetics Ecology/Marine and Freshwater Ecology Ecology/Population Ecology Ecosystem biology Ecosystems Electron Transport Complex IV - genetics Environmental changes Fisheries Gene flow Genetic research Genetic structure Genetics and Genomics/Population Genetics Genetics, Population Integrated software Invertebrates Marine and Aquatic Sciences/Biological Oceanography Marine and Aquatic Sciences/Ecology Marine and Aquatic Sciences/Evolutionary Biology Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding Marine Biology Marine ecology Marine invertebrates Mitochondrial DNA Natural selection Northwestern United States Paleobiology Population (statistical) Population genetics Population structure Software packages Species Tide pools Tigriopus californicus |
title | Genetic structure among 50 species of the northeastern Pacific rocky intertidal community |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T20%3A00%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genetic%20structure%20among%2050%20species%20of%20the%20northeastern%20Pacific%20rocky%20intertidal%20community&rft.jtitle=PloS%20one&rft.au=Kelly,%20Ryan%20P&rft.date=2010-01-07&rft.volume=5&rft.issue=1&rft.spage=e8594&rft.epage=e8594&rft.pages=e8594-e8594&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0008594&rft_dat=%3Cgale_plos_%3EA473921326%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1289257932&rft_id=info:pmid/20062807&rft_galeid=A473921326&rft_doaj_id=oai_doaj_org_article_44053f8804ee4aab9fc1cbbb4a6e453c&rfr_iscdi=true |