Disparity in population structuring of Southwestern Willow Flycatchers based on geographic distance, movement patterns, and genetic analyses.
Identifieur interne : 001016 ( Main/Corpus ); précédent : 001015; suivant : 001017Disparity in population structuring of Southwestern Willow Flycatchers based on geographic distance, movement patterns, and genetic analyses.
Auteurs : Katie J. Stumpf ; Tad C. Theimer ; Mary Anne Mcleod ; Thomas J. KoronkiewiczSource :
- Journal of experimental zoology. Part A, Ecological genetics and physiology [ 1932-5231 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- geographic : Arizona, Nevada.
- genetics : Microsatellite Repeats, Songbirds.
- Animal Migration, Animals, Bayes Theorem, Cluster Analysis, Genetics, Population, Genotype, Geography, Population Dynamics.
Abstract
Estimates of population connectivity often are based on demographic analysis of movements among subpopulations, but this approach may fail to detect rare migrants or overestimate the contribution of movements into populations when migrants fail to successfully reproduce. We compared movement data of endangered Southwestern Willow Flycatchers among isolated populations in Nevada and Arizona from 1997 to 2008 to genetic analyses of samples collected between 2004 and 2008 to determine the degree to which these two methods were concordant in their estimates of population structuring. Given that documented movements of 13 color-banded adults and 23 juveniles over 10 years indicated low rates of long-distance movements, we predicted that genetic analyses would show significant population structuring between a northern (Nevada) deme and a southern (Arizona) deme. We genotyped 93 adult individuals at seven microsatellite loci and used two Bayesian clustering programs, STRUCTURE and GENELAND, to predict population structure. Both clustering algorithms produced the same structuring pattern; a cluster containing birds breeding in Pahranagat National Wildlife Refuge, the northern-most Nevada site, and a cluster comprised of all other populations. These results highlight that estimates of subpopulation connectivity based on demographic analyses may differ from those based on genetics, suggesting either temporal changes in the pattern of movements, the importance of undetected movements, or differential contribution of migrants to the subpopulations they enter.
DOI: 10.1002/jez.1886
PubMed: 25370444
Links to Exploration step
pubmed:25370444Le document en format XML
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We compared movement data of endangered Southwestern Willow Flycatchers among isolated populations in Nevada and Arizona from 1997 to 2008 to genetic analyses of samples collected between 2004 and 2008 to determine the degree to which these two methods were concordant in their estimates of population structuring. Given that documented movements of 13 color-banded adults and 23 juveniles over 10 years indicated low rates of long-distance movements, we predicted that genetic analyses would show significant population structuring between a northern (Nevada) deme and a southern (Arizona) deme. We genotyped 93 adult individuals at seven microsatellite loci and used two Bayesian clustering programs, STRUCTURE and GENELAND, to predict population structure. Both clustering algorithms produced the same structuring pattern; a cluster containing birds breeding in Pahranagat National Wildlife Refuge, the northern-most Nevada site, and a cluster comprised of all other populations. These results highlight that estimates of subpopulation connectivity based on demographic analyses may differ from those based on genetics, suggesting either temporal changes in the pattern of movements, the importance of undetected movements, or differential contribution of migrants to the subpopulations they enter.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25370444</PMID><DateCompleted><Year>2015</Year><Month>06</Month><Day>10</Day></DateCompleted><DateRevised><Year>2014</Year><Month>11</Month><Day>14</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1932-5231</ISSN><JournalIssue CitedMedium="Internet"><Volume>321</Volume><Issue>10</Issue><PubDate><Year>2014</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Journal of experimental zoology. 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We compared movement data of endangered Southwestern Willow Flycatchers among isolated populations in Nevada and Arizona from 1997 to 2008 to genetic analyses of samples collected between 2004 and 2008 to determine the degree to which these two methods were concordant in their estimates of population structuring. Given that documented movements of 13 color-banded adults and 23 juveniles over 10 years indicated low rates of long-distance movements, we predicted that genetic analyses would show significant population structuring between a northern (Nevada) deme and a southern (Arizona) deme. We genotyped 93 adult individuals at seven microsatellite loci and used two Bayesian clustering programs, STRUCTURE and GENELAND, to predict population structure. Both clustering algorithms produced the same structuring pattern; a cluster containing birds breeding in Pahranagat National Wildlife Refuge, the northern-most Nevada site, and a cluster comprised of all other populations. These results highlight that estimates of subpopulation connectivity based on demographic analyses may differ from those based on genetics, suggesting either temporal changes in the pattern of movements, the importance of undetected movements, or differential contribution of migrants to the subpopulations they enter.</AbstractText><CopyrightInformation>© 2014 Wiley Periodicals, Inc.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Stumpf</LastName><ForeName>Katie J</ForeName><Initials>KJ</Initials><AffiliationInfo><Affiliation>Department of Environmental Sciences, Northland College, Ashland, Wisconsin.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Theimer</LastName><ForeName>Tad C</ForeName><Initials>TC</Initials></Author><Author ValidYN="Y"><LastName>McLeod</LastName><ForeName>Mary Anne</ForeName><Initials>MA</Initials></Author><Author ValidYN="Y"><LastName>Koronkiewicz</LastName><ForeName>Thomas J</ForeName><Initials>TJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>11</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Exp Zool A Ecol Genet Physiol</MedlineTA><NlmUniqueID>101297745</NlmUniqueID><ISSNLinking>1932-5223</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D025041" MajorTopicYN="Y">Animal Migration</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001130" MajorTopicYN="N" Type="Geographic">Arizona</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005828" MajorTopicYN="Y">Genetics, Population</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005838" MajorTopicYN="N">Genotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018895" MajorTopicYN="N">Microsatellite Repeats</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009505" MajorTopicYN="N" Type="Geographic">Nevada</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011157" MajorTopicYN="Y">Population Dynamics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020308" MajorTopicYN="N">Songbirds</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>08</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>07</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>11</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>11</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>6</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25370444</ArticleId><ArticleId IdType="doi">10.1002/jez.1886</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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