Associations among arbuscular mycorrhizal fungi and seedlings are predicted to change with tree successional status.
Identifieur interne : 000A38 ( Main/Corpus ); précédent : 000A37; suivant : 000A39Associations among arbuscular mycorrhizal fungi and seedlings are predicted to change with tree successional status.
Auteurs : Benedicte Bachelot ; María Uriarte ; Robert Muscarella ; Jimena Forero-Monta A ; Jill Thompson ; Krista Mcguire ; Jess Zimmerman ; Nathan G. Swenson ; James S. ClarkSource :
- Ecology [ 0012-9658 ] ; 2018.
English descriptors
- KwdEn :
- MESH :
- geographic : Puerto Rico.
- genetics : Mycorrhizae.
- microbiology : Seedlings, Trees.
- Fungi, Soil Microbiology.
Abstract
Arbuscular mycorrhizal (AM) fungi in the soil may influence tropical tree dynamics and forest succession. The mechanisms are poorly understood, because the functional characteristics and abundances of tree species and AM fungi are likely to be codependent. We used generalized joint attribute modeling to evaluate if AM fungi are associated with three forest community metrics for a sub-tropical montane forest in Puerto Rico. The metrics chosen to reflect changes during forest succession are the abundance of seedlings of different successional status, the amount of foliar damage on seedlings of different successional status, and community-weighted mean functional trait values (adult specific leaf area [SLA], adult wood density, and seed mass). We used high-throughput DNA sequencing to identify fungal operational taxonomic units (OTUs) in the soil. Model predictions showed that seedlings of mid- and late-successional species had less leaf damage when the 12 most common AM fungi were abundant compared to when these fungi were absent. We also found that seedlings of mid-successional species were predicted to be more abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. In contrast, early-successional tree seedlings were predicted to be less abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. Finally, we showed that, among the 12 most common AM fungi, different AM fungi were correlated with functional trait characteristics of early- or late-successional species. Together, these results suggest that early-successional species might not rely as much as mid- and late-successional species on AM fungi, and AM fungi might accelerate forest succession.
DOI: 10.1002/ecy.2122
PubMed: 29281752
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pubmed:29281752Le document en format XML
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Swenson</name><affiliation><nlm:affiliation>Department of Biology, The University of Maryland, College Park, Maryland, 20742, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Clark, James S" sort="Clark, James S" uniqKey="Clark J" first="James S" last="Clark">James S. Clark</name><affiliation><nlm:affiliation>Nicholas School of the Environment and Department of Statistical Science, Duke University, Durham, North Carolina, 27708, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2018">2018</date><idno type="RBID">pubmed:29281752</idno><idno type="pmid">29281752</idno><idno type="doi">10.1002/ecy.2122</idno><idno type="wicri:Area/Main/Corpus">000A38</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000A38</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Associations among arbuscular mycorrhizal fungi and seedlings are predicted to change with tree successional status.</title><author><name sortKey="Bachelot, Benedicte" sort="Bachelot, Benedicte" uniqKey="Bachelot B" first="Benedicte" last="Bachelot">Benedicte Bachelot</name><affiliation><nlm:affiliation>Department of BioSciences, Rice University, Houston, Texas, 77005, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Uriarte, Maria" sort="Uriarte, Maria" uniqKey="Uriarte M" first="María" last="Uriarte">María Uriarte</name><affiliation><nlm:affiliation>Department of Ecology Evolution and Environmental Biology, Columbia University, New York, New York, 10027, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Muscarella, Robert" sort="Muscarella, Robert" uniqKey="Muscarella R" first="Robert" last="Muscarella">Robert Muscarella</name><affiliation><nlm:affiliation>Section for Ecoinformatics & Biodiversity, Department of Bisocience, Aarhus University, Aarhus, 8000, Denmark.</nlm:affiliation></affiliation></author><author><name sortKey="Forero Monta A, Jimena" sort="Forero Monta A, Jimena" uniqKey="Forero Monta A J" first="Jimena" last="Forero-Monta A">Jimena Forero-Monta A</name><affiliation><nlm:affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Thompson, Jill" sort="Thompson, Jill" uniqKey="Thompson J" first="Jill" last="Thompson">Jill Thompson</name><affiliation><nlm:affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Centre for Ecology & Hydrology, Penicuik, Midlothian, EH26 0QB, United Kingdom.</nlm:affiliation></affiliation></author><author><name sortKey="Mcguire, Krista" sort="Mcguire, Krista" uniqKey="Mcguire K" first="Krista" last="Mcguire">Krista Mcguire</name><affiliation><nlm:affiliation>Department of Biology, University of Oregon, Eugene, Oregon, 97403, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Zimmerman, Jess" sort="Zimmerman, Jess" uniqKey="Zimmerman J" first="Jess" last="Zimmerman">Jess Zimmerman</name><affiliation><nlm:affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Swenson, Nathan G" sort="Swenson, Nathan G" uniqKey="Swenson N" first="Nathan G" last="Swenson">Nathan G. Swenson</name><affiliation><nlm:affiliation>Department of Biology, The University of Maryland, College Park, Maryland, 20742, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Clark, James S" sort="Clark, James S" uniqKey="Clark J" first="James S" last="Clark">James S. Clark</name><affiliation><nlm:affiliation>Nicholas School of the Environment and Department of Statistical Science, Duke University, Durham, North Carolina, 27708, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Ecology</title><idno type="ISSN">0012-9658</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Fungi (MeSH)</term><term>Mycorrhizae (genetics)</term><term>Puerto Rico (MeSH)</term><term>Seedlings (microbiology)</term><term>Soil Microbiology (MeSH)</term><term>Trees (microbiology)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Puerto Rico</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Mycorrhizae</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Seedlings</term><term>Trees</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Fungi</term><term>Soil Microbiology</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Arbuscular mycorrhizal (AM) fungi in the soil may influence tropical tree dynamics and forest succession. The mechanisms are poorly understood, because the functional characteristics and abundances of tree species and AM fungi are likely to be codependent. We used generalized joint attribute modeling to evaluate if AM fungi are associated with three forest community metrics for a sub-tropical montane forest in Puerto Rico. The metrics chosen to reflect changes during forest succession are the abundance of seedlings of different successional status, the amount of foliar damage on seedlings of different successional status, and community-weighted mean functional trait values (adult specific leaf area [SLA], adult wood density, and seed mass). We used high-throughput DNA sequencing to identify fungal operational taxonomic units (OTUs) in the soil. Model predictions showed that seedlings of mid- and late-successional species had less leaf damage when the 12 most common AM fungi were abundant compared to when these fungi were absent. We also found that seedlings of mid-successional species were predicted to be more abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. In contrast, early-successional tree seedlings were predicted to be less abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. Finally, we showed that, among the 12 most common AM fungi, different AM fungi were correlated with functional trait characteristics of early- or late-successional species. Together, these results suggest that early-successional species might not rely as much as mid- and late-successional species on AM fungi, and AM fungi might accelerate forest succession.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">29281752</PMID><DateCompleted><Year>2019</Year><Month>09</Month><Day>02</Day></DateCompleted><DateRevised><Year>2019</Year><Month>09</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0012-9658</ISSN><JournalIssue CitedMedium="Print"><Volume>99</Volume><Issue>3</Issue><PubDate><Year>2018</Year><Month>03</Month></PubDate></JournalIssue><Title>Ecology</Title><ISOAbbreviation>Ecology</ISOAbbreviation></Journal><ArticleTitle>Associations among arbuscular mycorrhizal fungi and seedlings are predicted to change with tree successional status.</ArticleTitle><Pagination><MedlinePgn>607-620</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/ecy.2122</ELocationID><Abstract><AbstractText>Arbuscular mycorrhizal (AM) fungi in the soil may influence tropical tree dynamics and forest succession. The mechanisms are poorly understood, because the functional characteristics and abundances of tree species and AM fungi are likely to be codependent. We used generalized joint attribute modeling to evaluate if AM fungi are associated with three forest community metrics for a sub-tropical montane forest in Puerto Rico. The metrics chosen to reflect changes during forest succession are the abundance of seedlings of different successional status, the amount of foliar damage on seedlings of different successional status, and community-weighted mean functional trait values (adult specific leaf area [SLA], adult wood density, and seed mass). We used high-throughput DNA sequencing to identify fungal operational taxonomic units (OTUs) in the soil. Model predictions showed that seedlings of mid- and late-successional species had less leaf damage when the 12 most common AM fungi were abundant compared to when these fungi were absent. We also found that seedlings of mid-successional species were predicted to be more abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. In contrast, early-successional tree seedlings were predicted to be less abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. Finally, we showed that, among the 12 most common AM fungi, different AM fungi were correlated with functional trait characteristics of early- or late-successional species. Together, these results suggest that early-successional species might not rely as much as mid- and late-successional species on AM fungi, and AM fungi might accelerate forest succession.</AbstractText><CopyrightInformation>© 2017 by the Ecological Society of America.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bachelot</LastName><ForeName>Benedicte</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of BioSciences, Rice University, Houston, Texas, 77005, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Uriarte</LastName><ForeName>María</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Ecology Evolution and Environmental Biology, Columbia University, New York, New York, 10027, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Muscarella</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Section for Ecoinformatics & Biodiversity, Department of Bisocience, Aarhus University, Aarhus, 8000, Denmark.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Forero-Montaña</LastName><ForeName>Jimena</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Thompson</LastName><ForeName>Jill</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre for Ecology & Hydrology, Penicuik, Midlothian, EH26 0QB, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>McGuire</LastName><ForeName>Krista</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Biology, University of Oregon, Eugene, Oregon, 97403, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zimmerman</LastName><ForeName>Jess</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Environmental Science, University of Puerto Rico-Rıo Piedras, San Juan, Puerto Rico, 00931, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Swenson</LastName><ForeName>Nathan G</ForeName><Initials>NG</Initials><AffiliationInfo><Affiliation>Department of Biology, The University of Maryland, College Park, Maryland, 20742, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Clark</LastName><ForeName>James S</ForeName><Initials>JS</Initials><AffiliationInfo><Affiliation>Nicholas School of the Environment and Department of Statistical Science, Duke University, Durham, North Carolina, 27708, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>GENBANK</DataBankName><AccessionNumberList><AccessionNumber>SRP052581</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>01</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Ecology</MedlineTA><NlmUniqueID>0043541</NlmUniqueID><ISSNLinking>0012-9658</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D005658" MajorTopicYN="N">Fungi</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="N">Mycorrhizae</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011647" MajorTopicYN="N" Type="Geographic">Puerto Rico</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D036226" MajorTopicYN="N">Seedlings</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012988" MajorTopicYN="N">Soil Microbiology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Luquillo Forest Dynamics Plot</Keyword><Keyword MajorTopicYN="Y">Puerto Rico</Keyword><Keyword MajorTopicYN="Y">arbuscular mycorrhizal fungi</Keyword><Keyword MajorTopicYN="Y">functional traits</Keyword><Keyword MajorTopicYN="Y">generalized joint attribute modeling</Keyword><Keyword MajorTopicYN="Y">succession</Keyword><Keyword MajorTopicYN="Y">tropical forests</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>10</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2017</Year><Month>11</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>12</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>12</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>9</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>12</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29281752</ArticleId><ArticleId IdType="doi">10.1002/ecy.2122</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document 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