Phylogenetic relationships among host plants explain differences in fungal species richness and community composition in ectomycorrhizal symbiosis.
Identifieur interne : 002552 ( Main/Exploration ); précédent : 002551; suivant : 002553Phylogenetic relationships among host plants explain differences in fungal species richness and community composition in ectomycorrhizal symbiosis.
Auteurs : Leho Tedersoo [Estonie] ; Marit Mett ; Takahide A. Ishida ; Mohammad BahramSource :
- The New phytologist [ 1469-8137 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- microbiologie : Salicaceae.
- physiologie : Mycorhizes, Spécificité d'hôte, Symbiose.
- Analyse de variance, Bases de données comme sujet, Biodiversité, Méthode des moindres carrés, Phylogenèse.
English descriptors
- KwdEn :
- MESH :
- microbiology : Salicaceae.
- physiology : Host Specificity, Mycorrhizae, Symbiosis.
- Analysis of Variance, Biodiversity, Databases as Topic, Least-Squares Analysis, Phylogeny.
Abstract
Geographic and taxonomic host ranges determine the distribution of biotrophic organisms. Host phylogenetic distance strongly affects the community composition of pathogens and parasites, but little is known about the host phylogeny effect on communities of mutualists, such as plant-pollinator and plant-mycorrhizal fungi systems. By incorporating phylogenetic eigenvectors into univariate and multivariate models, we aimed to determine the relative contribution of host phylogeny and environmental variables to mycorrhizal traits and community composition of ectomycorrhizal (EcM) fungi in Salicaceae at the local scale. Host phylogeny explained 75% of the variation in fungal species richness and 20% of the variation in community composition. We also re-analyzed a system involving eight hosts from Japan, in which host phylogeny explained 26% and 9% of the variation in fungal richness and community composition, respectively. [Correction added after online publication 21 May 2013: in the preceding sentence the values 9% and 26% have been transposed.] Phylogenetic eigenvectors that differentially account for clades and terminal taxa across the phylogeny revealed stronger host effects than did the treatment of host species as categorical or dummy variables in multiregression models, and in comparison with methods such as Mantel test and its analogs. Our results indicate the usefulness of the eigenvector method for the quantification of the host phylogeny effect, which represents an integrated complex function of taxonomic sampling effect and phylogenetic distance per se.
DOI: 10.1111/nph.12328
PubMed: 23692134
Affiliations:
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Ishida</name></author><author><name sortKey="Bahram, Mohammad" sort="Bahram, Mohammad" uniqKey="Bahram M" first="Mohammad" last="Bahram">Mohammad Bahram</name></author></analytic><series><title level="j">The New phytologist</title><idno type="eISSN">1469-8137</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Analysis of Variance (MeSH)</term><term>Biodiversity (MeSH)</term><term>Databases as Topic (MeSH)</term><term>Host Specificity (physiology)</term><term>Least-Squares Analysis (MeSH)</term><term>Mycorrhizae (physiology)</term><term>Phylogeny (MeSH)</term><term>Salicaceae (microbiology)</term><term>Symbiosis (physiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de variance (MeSH)</term><term>Bases de données comme sujet (MeSH)</term><term>Biodiversité (MeSH)</term><term>Mycorhizes (physiologie)</term><term>Méthode des moindres carrés (MeSH)</term><term>Phylogenèse (MeSH)</term><term>Salicaceae (microbiologie)</term><term>Spécificité d'hôte (physiologie)</term><term>Symbiose (physiologie)</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Salicaceae</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Salicaceae</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Mycorhizes</term><term>Spécificité d'hôte</term><term>Symbiose</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Host Specificity</term><term>Mycorrhizae</term><term>Symbiosis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Analysis of Variance</term><term>Biodiversity</term><term>Databases as Topic</term><term>Least-Squares Analysis</term><term>Phylogeny</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de variance</term><term>Bases de données comme sujet</term><term>Biodiversité</term><term>Méthode des moindres carrés</term><term>Phylogenèse</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Geographic and taxonomic host ranges determine the distribution of biotrophic organisms. Host phylogenetic distance strongly affects the community composition of pathogens and parasites, but little is known about the host phylogeny effect on communities of mutualists, such as plant-pollinator and plant-mycorrhizal fungi systems. By incorporating phylogenetic eigenvectors into univariate and multivariate models, we aimed to determine the relative contribution of host phylogeny and environmental variables to mycorrhizal traits and community composition of ectomycorrhizal (EcM) fungi in Salicaceae at the local scale. Host phylogeny explained 75% of the variation in fungal species richness and 20% of the variation in community composition. We also re-analyzed a system involving eight hosts from Japan, in which host phylogeny explained 26% and 9% of the variation in fungal richness and community composition, respectively. [Correction added after online publication 21 May 2013: in the preceding sentence the values 9% and 26% have been transposed.] Phylogenetic eigenvectors that differentially account for clades and terminal taxa across the phylogeny revealed stronger host effects than did the treatment of host species as categorical or dummy variables in multiregression models, and in comparison with methods such as Mantel test and its analogs. Our results indicate the usefulness of the eigenvector method for the quantification of the host phylogeny effect, which represents an integrated complex function of taxonomic sampling effect and phylogenetic distance per se. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23692134</PMID><DateCompleted><Year>2014</Year><Month>01</Month><Day>29</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1469-8137</ISSN><JournalIssue CitedMedium="Internet"><Volume>199</Volume><Issue>3</Issue><PubDate><Year>2013</Year><Month>Aug</Month></PubDate></JournalIssue><Title>The New phytologist</Title><ISOAbbreviation>New Phytol</ISOAbbreviation></Journal><ArticleTitle>Phylogenetic relationships among host plants explain differences in fungal species richness and community composition in ectomycorrhizal symbiosis.</ArticleTitle><Pagination><MedlinePgn>822-31</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/nph.12328</ELocationID><Abstract><AbstractText>Geographic and taxonomic host ranges determine the distribution of biotrophic organisms. Host phylogenetic distance strongly affects the community composition of pathogens and parasites, but little is known about the host phylogeny effect on communities of mutualists, such as plant-pollinator and plant-mycorrhizal fungi systems. By incorporating phylogenetic eigenvectors into univariate and multivariate models, we aimed to determine the relative contribution of host phylogeny and environmental variables to mycorrhizal traits and community composition of ectomycorrhizal (EcM) fungi in Salicaceae at the local scale. Host phylogeny explained 75% of the variation in fungal species richness and 20% of the variation in community composition. We also re-analyzed a system involving eight hosts from Japan, in which host phylogeny explained 26% and 9% of the variation in fungal richness and community composition, respectively. [Correction added after online publication 21 May 2013: in the preceding sentence the values 9% and 26% have been transposed.] Phylogenetic eigenvectors that differentially account for clades and terminal taxa across the phylogeny revealed stronger host effects than did the treatment of host species as categorical or dummy variables in multiregression models, and in comparison with methods such as Mantel test and its analogs. Our results indicate the usefulness of the eigenvector method for the quantification of the host phylogeny effect, which represents an integrated complex function of taxonomic sampling effect and phylogenetic distance per se. </AbstractText><CopyrightInformation>© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Tedersoo</LastName><ForeName>Leho</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Natural History Museum, University of Tartu, Tartu, Estonia. leho.tedersoo@ut.ee</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mett</LastName><ForeName>Marit</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Ishida</LastName><ForeName>Takahide A</ForeName><Initials>TA</Initials></Author><Author ValidYN="Y"><LastName>Bahram</LastName><ForeName>Mohammad</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>05</Month><Day>21</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>New Phytol</MedlineTA><NlmUniqueID>9882884</NlmUniqueID><ISSNLinking>0028-646X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000704" MajorTopicYN="N">Analysis of Variance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044822" MajorTopicYN="Y">Biodiversity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019992" MajorTopicYN="N">Databases as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058507" MajorTopicYN="N">Host Specificity</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016018" MajorTopicYN="N">Least-Squares Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="N">Mycorrhizae</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010802" MajorTopicYN="Y">Phylogeny</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D031308" MajorTopicYN="N">Salicaceae</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013559" MajorTopicYN="N">Symbiosis</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Populus</Keyword><Keyword MajorTopicYN="N">Salix (Salicaceae)</Keyword><Keyword MajorTopicYN="N">ectomycorrhizal (EcM) fungi</Keyword><Keyword MajorTopicYN="N">host phylogeny effect</Keyword><Keyword MajorTopicYN="N">phylogenetic distance</Keyword><Keyword MajorTopicYN="N">phylogenetic eigenvector regression</Keyword><Keyword MajorTopicYN="N">phylogenetic signal</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>02</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>04</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>5</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>5</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>1</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23692134</ArticleId><ArticleId IdType="doi">10.1111/nph.12328</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Estonie</li></country></list><tree><noCountry><name sortKey="Bahram, Mohammad" sort="Bahram, Mohammad" uniqKey="Bahram M" first="Mohammad" last="Bahram">Mohammad Bahram</name><name sortKey="Ishida, Takahide A" sort="Ishida, Takahide A" uniqKey="Ishida T" first="Takahide A" last="Ishida">Takahide A. Ishida</name><name sortKey="Mett, Marit" sort="Mett, Marit" uniqKey="Mett M" first="Marit" last="Mett">Marit Mett</name></noCountry><country name="Estonie"><noRegion><name sortKey="Tedersoo, Leho" sort="Tedersoo, Leho" uniqKey="Tedersoo L" first="Leho" last="Tedersoo">Leho Tedersoo</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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