Spatial genetic structure in two congeneric epiphytes with different dispersal strategies analysed by three different methods.
Identifieur interne : 004188 ( Main/Exploration ); précédent : 004187; suivant : 004189Spatial genetic structure in two congeneric epiphytes with different dispersal strategies analysed by three different methods.
Auteurs : T. Snall [Suède] ; J. Fogelqvist ; P J Ribeiro ; M. LascouxSource :
- Molecular ecology [ 0962-1083 ] ; 2004.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Bryopsida.
- physiologie : Reproduction.
- Démographie, Déséquilibre de liaison, Environnement, Finlande, Modèles linéaires, Modèles théoriques, Polymorphisme de restriction, Populus, Variation génétique.
- Wicri :
- geographic : Finlande.
English descriptors
- KwdEn :
- MESH :
- geographic : Finland.
- genetics : Bryopsida.
- physiology : Reproduction.
- Demography, Environment, Genetic Variation, Linear Models, Linkage Disequilibrium, Models, Theoretical, Polymorphism, Restriction Fragment Length, Populus.
Abstract
Three different approaches were used to assess the kinship structure of two epiphytic bryophytes, Orthotrichum speciosum and O. obtusifolium, that have different dispersal strategies. The two species were sampled in a 200 ha landscape where species occurrence and host trees had been mapped previously. Local environmental conditions at sampled trees were recorded and kinship between individuals was calculated based on amplified fragment length polymorphism (AFLP)-marker data. We did not detect any association between AFLP-markers and investigated environmental conditions. In both species, significant kinship coefficients were found between individuals up to 300-350 m apart which shows that both species have a restricted dispersal range. The spatial kinship structure was detected with both autocorrelation analysis and generalized additive models (GAMs), but linear regression failed to detect any structure in O. speciosum. Although the dioecious O. obtusifolium is currently the more common species it may, none the less, due to its restricted dispersal range and reproduction mode, become threatened in the future by current silvicultural practices which enhance the distance between host trees and decrease their life span. Finally, GAMs seem most appropriate for analysing spatial genetic structure because the effects of local environmental conditions and spatial structure can be analysed simultaneously, no assumption of a parametric form between kinship coefficient and distance is required, and spatial data resolution is not lost in the arbitrary choice of distance classes characterizing autocorrelation analysis.
DOI: 10.1111/j.1365-294X.2004.02217.x
PubMed: 15245387
Affiliations:
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Tord.Snall@ebc.uu.se</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Plant Ecology, Evolutionary Biology Centre, Uppsala University, Villavägen 14, SE-752 36 Uppsala</wicri:regionArea><orgName type="university">Université d'Uppsala</orgName><placeName><settlement type="city">Uppsala</settlement><region nuts="1">Svealand</region><region nuts="1">East Middle Sweden</region></placeName></affiliation></author><author><name sortKey="Fogelqvist, J" sort="Fogelqvist, J" uniqKey="Fogelqvist J" first="J" last="Fogelqvist">J. Fogelqvist</name></author><author><name sortKey="Ribeiro, P J" sort="Ribeiro, P J" uniqKey="Ribeiro P" first="P J" last="Ribeiro">P J Ribeiro</name></author><author><name sortKey="Lascoux, M" sort="Lascoux, M" uniqKey="Lascoux M" first="M" last="Lascoux">M. 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Snall</name><affiliation wicri:level="4"><nlm:affiliation>Department of Plant Ecology, Evolutionary Biology Centre, Uppsala University, Villavägen 14, SE-752 36 Uppsala, Sweden. Tord.Snall@ebc.uu.se</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Plant Ecology, Evolutionary Biology Centre, Uppsala University, Villavägen 14, SE-752 36 Uppsala</wicri:regionArea><orgName type="university">Université d'Uppsala</orgName><placeName><settlement type="city">Uppsala</settlement><region nuts="1">Svealand</region><region nuts="1">East Middle Sweden</region></placeName></affiliation></author><author><name sortKey="Fogelqvist, J" sort="Fogelqvist, J" uniqKey="Fogelqvist J" first="J" last="Fogelqvist">J. Fogelqvist</name></author><author><name sortKey="Ribeiro, P J" sort="Ribeiro, P J" uniqKey="Ribeiro P" first="P J" last="Ribeiro">P J Ribeiro</name></author><author><name sortKey="Lascoux, M" sort="Lascoux, M" uniqKey="Lascoux M" first="M" last="Lascoux">M. Lascoux</name></author></analytic><series><title level="j">Molecular ecology</title><idno type="ISSN">0962-1083</idno><imprint><date when="2004" type="published">2004</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bryopsida (genetics)</term><term>Demography (MeSH)</term><term>Environment (MeSH)</term><term>Finland (MeSH)</term><term>Genetic Variation (MeSH)</term><term>Linear Models (MeSH)</term><term>Linkage Disequilibrium (MeSH)</term><term>Models, Theoretical (MeSH)</term><term>Polymorphism, Restriction Fragment Length (MeSH)</term><term>Populus (MeSH)</term><term>Reproduction (physiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Bryopsida (génétique)</term><term>Démographie (MeSH)</term><term>Déséquilibre de liaison (MeSH)</term><term>Environnement (MeSH)</term><term>Finlande (MeSH)</term><term>Modèles linéaires (MeSH)</term><term>Modèles théoriques (MeSH)</term><term>Polymorphisme de restriction (MeSH)</term><term>Populus (MeSH)</term><term>Reproduction (physiologie)</term><term>Variation génétique (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Finland</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Bryopsida</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Bryopsida</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Reproduction</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Reproduction</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Demography</term><term>Environment</term><term>Genetic Variation</term><term>Linear Models</term><term>Linkage Disequilibrium</term><term>Models, Theoretical</term><term>Polymorphism, Restriction Fragment Length</term><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Démographie</term><term>Déséquilibre de liaison</term><term>Environnement</term><term>Finlande</term><term>Modèles linéaires</term><term>Modèles théoriques</term><term>Polymorphisme de restriction</term><term>Populus</term><term>Variation génétique</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Finlande</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Three different approaches were used to assess the kinship structure of two epiphytic bryophytes, Orthotrichum speciosum and O. obtusifolium, that have different dispersal strategies. The two species were sampled in a 200 ha landscape where species occurrence and host trees had been mapped previously. Local environmental conditions at sampled trees were recorded and kinship between individuals was calculated based on amplified fragment length polymorphism (AFLP)-marker data. We did not detect any association between AFLP-markers and investigated environmental conditions. In both species, significant kinship coefficients were found between individuals up to 300-350 m apart which shows that both species have a restricted dispersal range. The spatial kinship structure was detected with both autocorrelation analysis and generalized additive models (GAMs), but linear regression failed to detect any structure in O. speciosum. Although the dioecious O. obtusifolium is currently the more common species it may, none the less, due to its restricted dispersal range and reproduction mode, become threatened in the future by current silvicultural practices which enhance the distance between host trees and decrease their life span. Finally, GAMs seem most appropriate for analysing spatial genetic structure because the effects of local environmental conditions and spatial structure can be analysed simultaneously, no assumption of a parametric form between kinship coefficient and distance is required, and spatial data resolution is not lost in the arbitrary choice of distance classes characterizing autocorrelation analysis.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">15245387</PMID><DateCompleted><Year>2004</Year><Month>08</Month><Day>30</Day></DateCompleted><DateRevised><Year>2008</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0962-1083</ISSN><JournalIssue CitedMedium="Print"><Volume>13</Volume><Issue>8</Issue><PubDate><Year>2004</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>Spatial genetic structure in two congeneric epiphytes with different dispersal strategies analysed by three different methods.</ArticleTitle><Pagination><MedlinePgn>2109-19</MedlinePgn></Pagination><Abstract><AbstractText>Three different approaches were used to assess the kinship structure of two epiphytic bryophytes, Orthotrichum speciosum and O. obtusifolium, that have different dispersal strategies. The two species were sampled in a 200 ha landscape where species occurrence and host trees had been mapped previously. Local environmental conditions at sampled trees were recorded and kinship between individuals was calculated based on amplified fragment length polymorphism (AFLP)-marker data. We did not detect any association between AFLP-markers and investigated environmental conditions. In both species, significant kinship coefficients were found between individuals up to 300-350 m apart which shows that both species have a restricted dispersal range. The spatial kinship structure was detected with both autocorrelation analysis and generalized additive models (GAMs), but linear regression failed to detect any structure in O. speciosum. Although the dioecious O. obtusifolium is currently the more common species it may, none the less, due to its restricted dispersal range and reproduction mode, become threatened in the future by current silvicultural practices which enhance the distance between host trees and decrease their life span. Finally, GAMs seem most appropriate for analysing spatial genetic structure because the effects of local environmental conditions and spatial structure can be analysed simultaneously, no assumption of a parametric form between kinship coefficient and distance is required, and spatial data resolution is not lost in the arbitrary choice of distance classes characterizing autocorrelation analysis.</AbstractText><CopyrightInformation>Copyright 2004 Blackwell Publishing Ltd</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Snall</LastName><ForeName>T</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Plant Ecology, Evolutionary Biology Centre, Uppsala University, Villavägen 14, SE-752 36 Uppsala, Sweden. Tord.Snall@ebc.uu.se</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fogelqvist</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Ribeiro</LastName><ForeName>P J</ForeName><Initials>PJ</Initials><Suffix>Jr</Suffix></Author><Author ValidYN="Y"><LastName>Lascoux</LastName><ForeName>M</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D019068" MajorTopicYN="N">Bryopsida</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003710" MajorTopicYN="N">Demography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004777" MajorTopicYN="Y">Environment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005387" MajorTopicYN="N" Type="Geographic">Finland</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="Y">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015810" MajorTopicYN="N">Linkage Disequilibrium</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012150" MajorTopicYN="N">Polymorphism, Restriction Fragment Length</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012098" MajorTopicYN="N">Reproduction</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2004</Year><Month>7</Month><Day>13</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2004</Year><Month>8</Month><Day>31</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2004</Year><Month>7</Month><Day>13</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">15245387</ArticleId><ArticleId IdType="doi">10.1111/j.1365-294X.2004.02217.x</ArticleId><ArticleId IdType="pii">MEC2217</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Suède</li></country><region><li>East Middle Sweden</li><li>Svealand</li></region><settlement><li>Uppsala</li></settlement><orgName><li>Université d'Uppsala</li></orgName></list><tree><noCountry><name sortKey="Fogelqvist, J" sort="Fogelqvist, J" uniqKey="Fogelqvist J" first="J" last="Fogelqvist">J. Fogelqvist</name><name sortKey="Lascoux, M" sort="Lascoux, M" uniqKey="Lascoux M" first="M" last="Lascoux">M. Lascoux</name><name sortKey="Ribeiro, P J" sort="Ribeiro, P J" uniqKey="Ribeiro P" first="P J" last="Ribeiro">P J Ribeiro</name></noCountry><country name="Suède"><region name="Svealand"><name sortKey="Snall, T" sort="Snall, T" uniqKey="Snall T" first="T" last="Snall">T. Snall</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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