Pedigree reconstruction using molecular data reveals an early warning sign of gene diversity loss in an island population of Tasmanian devils (Sarcophilus harrisii)
Tasmanian devils have experienced an 85% population decline since the emergence of an infectious cancer. In response, a captive insurance population was established in 2006 with a subpopulation later introduced onto Maria Island, Tasmania. We aimed to (1) examine the genetic parameters of the Maria...
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Veröffentlicht in: | Conservation genetics 2018-04, Vol.19 (2), p.439-450 |
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description | Tasmanian devils have experienced an 85% population decline since the emergence of an infectious cancer. In response, a captive insurance population was established in 2006 with a subpopulation later introduced onto Maria Island, Tasmania. We aimed to (1) examine the genetic parameters of the Maria Island population as a stand-alone site and within its broader metapopulation context, (2) assess the efficacy of assisted colonisations, and (3) inform future translocations. This study reconstructs the pedigree of 86 island-born devils using 31 polymorphic microsatellite loci. Combined molecular and pedigree analysis was used to monitor change in population genetic parameters in 4 years since colonisation. Molecular analysis alone revealed no significant change in genetic diversity, while DNA-reconstructed pedigree analysis revealed a statistically significant increase in inbreeding due to skewed founder representation. Pedigree modelling predicted that gene diversity would only be maintained above the threshold of 95% for a further 2 years, dropping to 77.1% after 40 years. Modelling alternative supplementation strategies revealed introducing eight new founders every 3 years will enable the population to retain 95% gene diversity until 2056, provided the translocated animals breed; to ensure this we recommend introducing ten new females every 3 years. We highlight the value of combining pedigree analyses with molecular data, from both a single-site and metapopulation viewpoint, for analysing changes in genetic parameters within populations of conservation concern. The importance of post-release genetic monitoring in an established population is emphasised, given how quickly inbreeding can accumulate and gene diversity be lost. |
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In response, a captive insurance population was established in 2006 with a subpopulation later introduced onto Maria Island, Tasmania. We aimed to (1) examine the genetic parameters of the Maria Island population as a stand-alone site and within its broader metapopulation context, (2) assess the efficacy of assisted colonisations, and (3) inform future translocations. This study reconstructs the pedigree of 86 island-born devils using 31 polymorphic microsatellite loci. Combined molecular and pedigree analysis was used to monitor change in population genetic parameters in 4 years since colonisation. Molecular analysis alone revealed no significant change in genetic diversity, while DNA-reconstructed pedigree analysis revealed a statistically significant increase in inbreeding due to skewed founder representation. Pedigree modelling predicted that gene diversity would only be maintained above the threshold of 95% for a further 2 years, dropping to 77.1% after 40 years. Modelling alternative supplementation strategies revealed introducing eight new founders every 3 years will enable the population to retain 95% gene diversity until 2056, provided the translocated animals breed; to ensure this we recommend introducing ten new females every 3 years. We highlight the value of combining pedigree analyses with molecular data, from both a single-site and metapopulation viewpoint, for analysing changes in genetic parameters within populations of conservation concern. The importance of post-release genetic monitoring in an established population is emphasised, given how quickly inbreeding can accumulate and gene diversity be lost.</description><identifier>ISSN: 1566-0621</identifier><identifier>EISSN: 1572-9737</identifier><identifier>DOI: 10.1007/s10592-017-1017-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Animal Genetics and Genomics ; Assisted migration ; Biodiversity ; Biomedical and Life Sciences ; Cancer ; Conservation Biology/Ecology ; Data processing ; Deoxyribonucleic acid ; DNA ; Ecology ; Evolutionary Biology ; Genetic analysis ; Genetic diversity ; Genotype & phenotype ; Inbreeding ; Life Sciences ; Mathematical models ; Metapopulations ; Modelling ; Parameters ; Pedigree ; Plant Genetics and Genomics ; Population ; Population decline ; Population genetics ; Research Article ; Statistical analysis ; Supplements ; Translocation</subject><ispartof>Conservation genetics, 2018-04, Vol.19 (2), p.439-450</ispartof><rights>Springer Science+Business Media B.V. 2017</rights><rights>Conservation Genetics is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-f1791bc9cd97ab9b725ca9ffa82803f857ce5110225b7ebdd61df67ad2d5c83</citedby><cites>FETCH-LOGICAL-c316t-f1791bc9cd97ab9b725ca9ffa82803f857ce5110225b7ebdd61df67ad2d5c83</cites><orcidid>0000-0002-8179-1822</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10592-017-1017-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10592-017-1017-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>McLennan, Elspeth A.</creatorcontrib><creatorcontrib>Gooley, Rebecca M.</creatorcontrib><creatorcontrib>Wise, Phil</creatorcontrib><creatorcontrib>Belov, Katherine</creatorcontrib><creatorcontrib>Hogg, Carolyn J.</creatorcontrib><creatorcontrib>Grueber, Catherine E.</creatorcontrib><title>Pedigree reconstruction using molecular data reveals an early warning sign of gene diversity loss in an island population of Tasmanian devils (Sarcophilus harrisii)</title><title>Conservation genetics</title><addtitle>Conserv Genet</addtitle><description>Tasmanian devils have experienced an 85% population decline since the emergence of an infectious cancer. In response, a captive insurance population was established in 2006 with a subpopulation later introduced onto Maria Island, Tasmania. We aimed to (1) examine the genetic parameters of the Maria Island population as a stand-alone site and within its broader metapopulation context, (2) assess the efficacy of assisted colonisations, and (3) inform future translocations. This study reconstructs the pedigree of 86 island-born devils using 31 polymorphic microsatellite loci. Combined molecular and pedigree analysis was used to monitor change in population genetic parameters in 4 years since colonisation. Molecular analysis alone revealed no significant change in genetic diversity, while DNA-reconstructed pedigree analysis revealed a statistically significant increase in inbreeding due to skewed founder representation. Pedigree modelling predicted that gene diversity would only be maintained above the threshold of 95% for a further 2 years, dropping to 77.1% after 40 years. Modelling alternative supplementation strategies revealed introducing eight new founders every 3 years will enable the population to retain 95% gene diversity until 2056, provided the translocated animals breed; to ensure this we recommend introducing ten new females every 3 years. We highlight the value of combining pedigree analyses with molecular data, from both a single-site and metapopulation viewpoint, for analysing changes in genetic parameters within populations of conservation concern. The importance of post-release genetic monitoring in an established population is emphasised, given how quickly inbreeding can accumulate and gene diversity be lost.</description><subject>Animal Genetics and Genomics</subject><subject>Assisted migration</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Cancer</subject><subject>Conservation Biology/Ecology</subject><subject>Data processing</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Ecology</subject><subject>Evolutionary Biology</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Genotype & phenotype</subject><subject>Inbreeding</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Metapopulations</subject><subject>Modelling</subject><subject>Parameters</subject><subject>Pedigree</subject><subject>Plant Genetics and Genomics</subject><subject>Population</subject><subject>Population decline</subject><subject>Population genetics</subject><subject>Research Article</subject><subject>Statistical analysis</subject><subject>Supplements</subject><subject>Translocation</subject><issn>1566-0621</issn><issn>1572-9737</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kcFq3TAQRU1JoUnaD-hO0E2zcKqRsWUvQ2jSQiCFZC_G0thR8JPckf3C-59-aOW8QlfZaAQ69140tyg-g7wEKfW3BLLuVClBl7Ad7bviFGqtyk5X-mS7N00pGwUfirOUnqWERmk4Lf78IudHJhJMNoa08GoXH4NYkw-j2MWJ7DohC4cLZmZPOCWBQRDydBAvyGHjkh-DiIMYKZBwfk-c_HIQU0xJ-LDxPk0YnJjjnO1eEzL-iGmHwednR3ufjb8-INs4P_lpTeIJmX3y_uJj8X7IsfTp3zwvHm6-P17_KO_ub39eX92VtoJmKQfQHfS2s67T2He9VrXFbhiwVa2shrbWlmoAqVTda-qda8ANjUanXG3b6rz4cnSdOf5eKS3mOa4ccqBReV1V1XTVRsGRspw_xzSYmf0O-WBAmq0Kc6zC5BbMVoXZNOqoSZkNI_F_57dFfwGXcpB_</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>McLennan, Elspeth A.</creator><creator>Gooley, Rebecca M.</creator><creator>Wise, Phil</creator><creator>Belov, Katherine</creator><creator>Hogg, Carolyn J.</creator><creator>Grueber, Catherine E.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><orcidid>https://orcid.org/0000-0002-8179-1822</orcidid></search><sort><creationdate>20180401</creationdate><title>Pedigree reconstruction using molecular data reveals an early warning sign of gene diversity loss in an island population of Tasmanian devils (Sarcophilus harrisii)</title><author>McLennan, Elspeth A. ; Gooley, Rebecca M. ; Wise, Phil ; Belov, Katherine ; Hogg, Carolyn J. ; Grueber, Catherine E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-f1791bc9cd97ab9b725ca9ffa82803f857ce5110225b7ebdd61df67ad2d5c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animal Genetics and Genomics</topic><topic>Assisted migration</topic><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Cancer</topic><topic>Conservation Biology/Ecology</topic><topic>Data processing</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Ecology</topic><topic>Evolutionary Biology</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Genotype & phenotype</topic><topic>Inbreeding</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>Metapopulations</topic><topic>Modelling</topic><topic>Parameters</topic><topic>Pedigree</topic><topic>Plant Genetics and Genomics</topic><topic>Population</topic><topic>Population decline</topic><topic>Population genetics</topic><topic>Research Article</topic><topic>Statistical analysis</topic><topic>Supplements</topic><topic>Translocation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McLennan, Elspeth A.</creatorcontrib><creatorcontrib>Gooley, Rebecca M.</creatorcontrib><creatorcontrib>Wise, Phil</creatorcontrib><creatorcontrib>Belov, Katherine</creatorcontrib><creatorcontrib>Hogg, Carolyn J.</creatorcontrib><creatorcontrib>Grueber, Catherine E.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><jtitle>Conservation genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McLennan, Elspeth A.</au><au>Gooley, Rebecca M.</au><au>Wise, Phil</au><au>Belov, Katherine</au><au>Hogg, Carolyn J.</au><au>Grueber, Catherine E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pedigree reconstruction using molecular data reveals an early warning sign of gene diversity loss in an island population of Tasmanian devils (Sarcophilus harrisii)</atitle><jtitle>Conservation genetics</jtitle><stitle>Conserv Genet</stitle><date>2018-04-01</date><risdate>2018</risdate><volume>19</volume><issue>2</issue><spage>439</spage><epage>450</epage><pages>439-450</pages><issn>1566-0621</issn><eissn>1572-9737</eissn><abstract>Tasmanian devils have experienced an 85% population decline since the emergence of an infectious cancer. In response, a captive insurance population was established in 2006 with a subpopulation later introduced onto Maria Island, Tasmania. We aimed to (1) examine the genetic parameters of the Maria Island population as a stand-alone site and within its broader metapopulation context, (2) assess the efficacy of assisted colonisations, and (3) inform future translocations. This study reconstructs the pedigree of 86 island-born devils using 31 polymorphic microsatellite loci. Combined molecular and pedigree analysis was used to monitor change in population genetic parameters in 4 years since colonisation. Molecular analysis alone revealed no significant change in genetic diversity, while DNA-reconstructed pedigree analysis revealed a statistically significant increase in inbreeding due to skewed founder representation. Pedigree modelling predicted that gene diversity would only be maintained above the threshold of 95% for a further 2 years, dropping to 77.1% after 40 years. Modelling alternative supplementation strategies revealed introducing eight new founders every 3 years will enable the population to retain 95% gene diversity until 2056, provided the translocated animals breed; to ensure this we recommend introducing ten new females every 3 years. We highlight the value of combining pedigree analyses with molecular data, from both a single-site and metapopulation viewpoint, for analysing changes in genetic parameters within populations of conservation concern. The importance of post-release genetic monitoring in an established population is emphasised, given how quickly inbreeding can accumulate and gene diversity be lost.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10592-017-1017-8</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8179-1822</orcidid></addata></record> |
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subjects | Animal Genetics and Genomics Assisted migration Biodiversity Biomedical and Life Sciences Cancer Conservation Biology/Ecology Data processing Deoxyribonucleic acid DNA Ecology Evolutionary Biology Genetic analysis Genetic diversity Genotype & phenotype Inbreeding Life Sciences Mathematical models Metapopulations Modelling Parameters Pedigree Plant Genetics and Genomics Population Population decline Population genetics Research Article Statistical analysis Supplements Translocation |
title | Pedigree reconstruction using molecular data reveals an early warning sign of gene diversity loss in an island population of Tasmanian devils (Sarcophilus harrisii) |
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