Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums

Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal di...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of wildlife management 2015-01, Vol.79 (1), p.112-121
Hauptverfasser: Hennessy, Cecilia, Tsai, Chia-Chun, Beasley, James C., Beatty, William S., Zollner, Patrick A., Rhodes Jr, Olin E.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 121
container_issue 1
container_start_page 112
container_title The Journal of wildlife management
container_volume 79
creator Hennessy, Cecilia
Tsai, Chia-Chun
Beasley, James C.
Beatty, William S.
Zollner, Patrick A.
Rhodes Jr, Olin E.
description Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal distances and our understanding of population connectivity for both of these species is limited. Data on population connectivity and potential for disease transmission are needed for each of these species for the development of data-informed management, control, and vaccination programs. Genetic connectivity among populations can be estimated by evaluation of metrics such as of isolation by distance (IBD) signatures and population structure. Such metrics are influenced not only by geographic distance and barriers to dispersal but also by the life-history characteristics of the species in question. We investigated the scale at which these species exhibited evidence of connectivity via gene flow, using samples collected from 9 sites spanning 254 km across north-central, west-central, south-central, and southern Indiana, USA. We evaluated genetic connectivity and signatures of IBD using Bayesian clustering analyses and matrix correlation methods. In the Bayesian model, raccoons were assigned to 3 genetic clusters, whereas Virginia opossums exhibited apparent panmixia. Spatial autocorrelation results indicated a significant positive correlation between genetic and geographic distance for raccoons at distances up to 25 km and for Virginia opossums up to 4 km. Interspecific differences in reproductive biology, social behavior, and dispersal are likely the causes for differences between these 2 species in the spatial partitioning of populations across broad ranges. In addition, geographic features and past glaciation events may be affecting the genetic characteristics of present-day raccoon populations. Improved information regarding interpopulation distance for these 2 synanthropic species may contribute to more effective management and disease-control programs.
doi_str_mv 10.1002/jwmg.812
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1647019055</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>43188311</jstor_id><sourcerecordid>43188311</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3532-c58a1cd3f288d890b22f901a37d2850264dff5bd5996cdef25c6b03c366dfe7a3</originalsourceid><addsrcrecordid>eNpdkd9qFDEUxoMouFbBFxAC3ngzbf5sMhnvtNRtpVYo1vYuZJPMmHUmGXNm2u77-KDNstKCV4fD9zvfOZwPobeUHFJC2NHmbugOFWXP0II2vK6YovVztCgSq8SS3rxErwA2hHBKlVygvyf9bIMzU0gRpxaPaZz7fWdTjN5O4TZMWxwihm00cfqV0xgsHjykMfsymDJ8xFcQYoc7Hz3gKWHn2xA9zr73t2UGw1gsTY_Bmr4Qbcp4MNF0fvBFLWuzsTalCNhEh3-G3IUYDE5jApgHeI1etKYH_-ZfPUBXX05-HJ9W599XZ8efzivLBWeVFcpQ63jLlHKqIWvG2oZQw2vHlCBMLl3birUTTSNtOZEJK9eEWy6la31t-AH6sPcdc_oze5j0EMD6vjfRpxk0lcua0IYIUdD3_6GbNOdYrisUr2WB6I6q9tRd6P1WjzkMJm81JXqXld5lpUtW-uv1t1WphX-35zdQ_vrILzlVqgT25Bdg8vePusm_tax5LfT1xUqTi0um2OcbfckfAC6MpmA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1637690515</pqid></control><display><type>article</type><title>Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums</title><source>Access via Wiley Online Library</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Hennessy, Cecilia ; Tsai, Chia-Chun ; Beasley, James C. ; Beatty, William S. ; Zollner, Patrick A. ; Rhodes Jr, Olin E.</creator><creatorcontrib>Hennessy, Cecilia ; Tsai, Chia-Chun ; Beasley, James C. ; Beatty, William S. ; Zollner, Patrick A. ; Rhodes Jr, Olin E.</creatorcontrib><description>Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal distances and our understanding of population connectivity for both of these species is limited. Data on population connectivity and potential for disease transmission are needed for each of these species for the development of data-informed management, control, and vaccination programs. Genetic connectivity among populations can be estimated by evaluation of metrics such as of isolation by distance (IBD) signatures and population structure. Such metrics are influenced not only by geographic distance and barriers to dispersal but also by the life-history characteristics of the species in question. We investigated the scale at which these species exhibited evidence of connectivity via gene flow, using samples collected from 9 sites spanning 254 km across north-central, west-central, south-central, and southern Indiana, USA. We evaluated genetic connectivity and signatures of IBD using Bayesian clustering analyses and matrix correlation methods. In the Bayesian model, raccoons were assigned to 3 genetic clusters, whereas Virginia opossums exhibited apparent panmixia. Spatial autocorrelation results indicated a significant positive correlation between genetic and geographic distance for raccoons at distances up to 25 km and for Virginia opossums up to 4 km. Interspecific differences in reproductive biology, social behavior, and dispersal are likely the causes for differences between these 2 species in the spatial partitioning of populations across broad ranges. In addition, geographic features and past glaciation events may be affecting the genetic characteristics of present-day raccoon populations. Improved information regarding interpopulation distance for these 2 synanthropic species may contribute to more effective management and disease-control programs.</description><identifier>ISSN: 0022-541X</identifier><identifier>EISSN: 1937-2817</identifier><identifier>DOI: 10.1002/jwmg.812</identifier><identifier>CODEN: JWMAA9</identifier><language>eng</language><publisher>Bethesda: Blackwell Publishing Ltd</publisher><subject>Autocorrelation ; Carnivores ; Connectivity ; Didelphis virginiana ; Disease transmission ; Dispersal ; Ecological genetics ; Glaciation ; Indiana ; isolation by distance ; Landscapes ; Life history ; Livestock ; Management and Conservation ; Medical genetics ; Mycobacterium ; Opossums ; Population genetics ; Population structure ; Predation ; Procyon lotor ; Social behavior ; Species ; Wildlife ; Wildlife management</subject><ispartof>The Journal of wildlife management, 2015-01, Vol.79 (1), p.112-121</ispartof><rights>Copyright© 2015 The Wildlife Society</rights><rights>The Wildlife Society, 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3532-c58a1cd3f288d890b22f901a37d2850264dff5bd5996cdef25c6b03c366dfe7a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/43188311$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/43188311$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,1417,27924,27925,45574,45575,58017,58250</link.rule.ids></links><search><creatorcontrib>Hennessy, Cecilia</creatorcontrib><creatorcontrib>Tsai, Chia-Chun</creatorcontrib><creatorcontrib>Beasley, James C.</creatorcontrib><creatorcontrib>Beatty, William S.</creatorcontrib><creatorcontrib>Zollner, Patrick A.</creatorcontrib><creatorcontrib>Rhodes Jr, Olin E.</creatorcontrib><title>Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums</title><title>The Journal of wildlife management</title><addtitle>Jour. Wild. Mgmt</addtitle><description>Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal distances and our understanding of population connectivity for both of these species is limited. Data on population connectivity and potential for disease transmission are needed for each of these species for the development of data-informed management, control, and vaccination programs. Genetic connectivity among populations can be estimated by evaluation of metrics such as of isolation by distance (IBD) signatures and population structure. Such metrics are influenced not only by geographic distance and barriers to dispersal but also by the life-history characteristics of the species in question. We investigated the scale at which these species exhibited evidence of connectivity via gene flow, using samples collected from 9 sites spanning 254 km across north-central, west-central, south-central, and southern Indiana, USA. We evaluated genetic connectivity and signatures of IBD using Bayesian clustering analyses and matrix correlation methods. In the Bayesian model, raccoons were assigned to 3 genetic clusters, whereas Virginia opossums exhibited apparent panmixia. Spatial autocorrelation results indicated a significant positive correlation between genetic and geographic distance for raccoons at distances up to 25 km and for Virginia opossums up to 4 km. Interspecific differences in reproductive biology, social behavior, and dispersal are likely the causes for differences between these 2 species in the spatial partitioning of populations across broad ranges. In addition, geographic features and past glaciation events may be affecting the genetic characteristics of present-day raccoon populations. Improved information regarding interpopulation distance for these 2 synanthropic species may contribute to more effective management and disease-control programs.</description><subject>Autocorrelation</subject><subject>Carnivores</subject><subject>Connectivity</subject><subject>Didelphis virginiana</subject><subject>Disease transmission</subject><subject>Dispersal</subject><subject>Ecological genetics</subject><subject>Glaciation</subject><subject>Indiana</subject><subject>isolation by distance</subject><subject>Landscapes</subject><subject>Life history</subject><subject>Livestock</subject><subject>Management and Conservation</subject><subject>Medical genetics</subject><subject>Mycobacterium</subject><subject>Opossums</subject><subject>Population genetics</subject><subject>Population structure</subject><subject>Predation</subject><subject>Procyon lotor</subject><subject>Social behavior</subject><subject>Species</subject><subject>Wildlife</subject><subject>Wildlife management</subject><issn>0022-541X</issn><issn>1937-2817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpdkd9qFDEUxoMouFbBFxAC3ngzbf5sMhnvtNRtpVYo1vYuZJPMmHUmGXNm2u77-KDNstKCV4fD9zvfOZwPobeUHFJC2NHmbugOFWXP0II2vK6YovVztCgSq8SS3rxErwA2hHBKlVygvyf9bIMzU0gRpxaPaZz7fWdTjN5O4TZMWxwihm00cfqV0xgsHjykMfsymDJ8xFcQYoc7Hz3gKWHn2xA9zr73t2UGw1gsTY_Bmr4Qbcp4MNF0fvBFLWuzsTalCNhEh3-G3IUYDE5jApgHeI1etKYH_-ZfPUBXX05-HJ9W599XZ8efzivLBWeVFcpQ63jLlHKqIWvG2oZQw2vHlCBMLl3birUTTSNtOZEJK9eEWy6la31t-AH6sPcdc_oze5j0EMD6vjfRpxk0lcua0IYIUdD3_6GbNOdYrisUr2WB6I6q9tRd6P1WjzkMJm81JXqXld5lpUtW-uv1t1WphX-35zdQ_vrILzlVqgT25Bdg8vePusm_tax5LfT1xUqTi0um2OcbfckfAC6MpmA</recordid><startdate>201501</startdate><enddate>201501</enddate><creator>Hennessy, Cecilia</creator><creator>Tsai, Chia-Chun</creator><creator>Beasley, James C.</creator><creator>Beatty, William S.</creator><creator>Zollner, Patrick A.</creator><creator>Rhodes Jr, Olin E.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>201501</creationdate><title>Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums</title><author>Hennessy, Cecilia ; Tsai, Chia-Chun ; Beasley, James C. ; Beatty, William S. ; Zollner, Patrick A. ; Rhodes Jr, Olin E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3532-c58a1cd3f288d890b22f901a37d2850264dff5bd5996cdef25c6b03c366dfe7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Autocorrelation</topic><topic>Carnivores</topic><topic>Connectivity</topic><topic>Didelphis virginiana</topic><topic>Disease transmission</topic><topic>Dispersal</topic><topic>Ecological genetics</topic><topic>Glaciation</topic><topic>Indiana</topic><topic>isolation by distance</topic><topic>Landscapes</topic><topic>Life history</topic><topic>Livestock</topic><topic>Management and Conservation</topic><topic>Medical genetics</topic><topic>Mycobacterium</topic><topic>Opossums</topic><topic>Population genetics</topic><topic>Population structure</topic><topic>Predation</topic><topic>Procyon lotor</topic><topic>Social behavior</topic><topic>Species</topic><topic>Wildlife</topic><topic>Wildlife management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hennessy, Cecilia</creatorcontrib><creatorcontrib>Tsai, Chia-Chun</creatorcontrib><creatorcontrib>Beasley, James C.</creatorcontrib><creatorcontrib>Beatty, William S.</creatorcontrib><creatorcontrib>Zollner, Patrick A.</creatorcontrib><creatorcontrib>Rhodes Jr, Olin E.</creatorcontrib><collection>Istex</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Sustainability Science Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>The Journal of wildlife management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hennessy, Cecilia</au><au>Tsai, Chia-Chun</au><au>Beasley, James C.</au><au>Beatty, William S.</au><au>Zollner, Patrick A.</au><au>Rhodes Jr, Olin E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums</atitle><jtitle>The Journal of wildlife management</jtitle><addtitle>Jour. Wild. Mgmt</addtitle><date>2015-01</date><risdate>2015</risdate><volume>79</volume><issue>1</issue><spage>112</spage><epage>121</epage><pages>112-121</pages><issn>0022-541X</issn><eissn>1937-2817</eissn><coden>JWMAA9</coden><abstract>Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal distances and our understanding of population connectivity for both of these species is limited. Data on population connectivity and potential for disease transmission are needed for each of these species for the development of data-informed management, control, and vaccination programs. Genetic connectivity among populations can be estimated by evaluation of metrics such as of isolation by distance (IBD) signatures and population structure. Such metrics are influenced not only by geographic distance and barriers to dispersal but also by the life-history characteristics of the species in question. We investigated the scale at which these species exhibited evidence of connectivity via gene flow, using samples collected from 9 sites spanning 254 km across north-central, west-central, south-central, and southern Indiana, USA. We evaluated genetic connectivity and signatures of IBD using Bayesian clustering analyses and matrix correlation methods. In the Bayesian model, raccoons were assigned to 3 genetic clusters, whereas Virginia opossums exhibited apparent panmixia. Spatial autocorrelation results indicated a significant positive correlation between genetic and geographic distance for raccoons at distances up to 25 km and for Virginia opossums up to 4 km. Interspecific differences in reproductive biology, social behavior, and dispersal are likely the causes for differences between these 2 species in the spatial partitioning of populations across broad ranges. In addition, geographic features and past glaciation events may be affecting the genetic characteristics of present-day raccoon populations. Improved information regarding interpopulation distance for these 2 synanthropic species may contribute to more effective management and disease-control programs.</abstract><cop>Bethesda</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/jwmg.812</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0022-541X
ispartof The Journal of wildlife management, 2015-01, Vol.79 (1), p.112-121
issn 0022-541X
1937-2817
language eng
recordid cdi_proquest_miscellaneous_1647019055
source Access via Wiley Online Library; JSTOR Archive Collection A-Z Listing
subjects Autocorrelation
Carnivores
Connectivity
Didelphis virginiana
Disease transmission
Dispersal
Ecological genetics
Glaciation
Indiana
isolation by distance
Landscapes
Life history
Livestock
Management and Conservation
Medical genetics
Mycobacterium
Opossums
Population genetics
Population structure
Predation
Procyon lotor
Social behavior
Species
Wildlife
Wildlife management
title Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A13%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Elucidation%20of%20population%20connectivity%20in%20synanthropic%20mesopredators:%20Using%20genes%20to%20define%20relevant%20spatial%20scales%20for%20management%20of%20raccoons%20and%20Virginia%20opossums&rft.jtitle=The%20Journal%20of%20wildlife%20management&rft.au=Hennessy,%20Cecilia&rft.date=2015-01&rft.volume=79&rft.issue=1&rft.spage=112&rft.epage=121&rft.pages=112-121&rft.issn=0022-541X&rft.eissn=1937-2817&rft.coden=JWMAA9&rft_id=info:doi/10.1002/jwmg.812&rft_dat=%3Cjstor_proqu%3E43188311%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1637690515&rft_id=info:pmid/&rft_jstor_id=43188311&rfr_iscdi=true