Ericaceous plant-fungus network in a harsh alpine-subalpine environment.
Identifieur interne : 001166 ( Main/Exploration ); précédent : 001165; suivant : 001167Ericaceous plant-fungus network in a harsh alpine-subalpine environment.
Auteurs : H. Toju [Japon] ; A S Tanabe [Japon] ; H S Ishii [Japon]Source :
- Molecular ecology [ 1365-294X ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Japon.
English descriptors
- KwdEn :
- MESH :
- geographic : Japan.
- classification : Ascomycota, Basidiomycota, Mycorrhizae.
- microbiology : Ericaceae, Plant Roots.
- Cold Temperature, Ecosystem, Environment, High-Throughput Nucleotide Sequencing, Symbiosis.
Abstract
In terrestrial ecosystems, plant species and diverse root-associated fungi form complex networks of host-symbiont associations. Recent studies have revealed that structures of those below-ground plant-fungus networks differ between arbuscular mycorrhizal and ectomycorrhizal symbioses. Nonetheless, we still remain ignorant of how ericaceous plant species, which dominate arctic and alpine tundra, constitute networks with their root-associated fungi. Based on a high-throughput DNA sequencing data set, we characterized the statistical properties of a network involving 16 ericaceous plant species and more than 500 fungal taxa in the alpine-subalpine region of Mt. Tateyama, central Japan. While all the 16 ericaceous species were associated mainly with fungi in the order Helotiales, they varied remarkably in association with fungi in other orders such as Sebacinales, Atheliales, Agaricales, Russulales and Thelephorales. The ericaceous plant-fungus network was characterized by high symbiont/host preferences. Moreover, the network had a characteristic structure called 'anti-nestedness', which has been previously reported in ectomycorrhizal plant-fungus networks. The results lead to the hypothesis that ericaceous plants in harsh environments can host unexpectedly diverse root-associated fungal taxa, constituting networks whose structures are similar to those of previously reported ectomycorrhizal networks but not to those of arbuscular mycorrhizal ones.
DOI: 10.1111/mec.13680
PubMed: 27136380
Affiliations:
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Recent studies have revealed that structures of those below-ground plant-fungus networks differ between arbuscular mycorrhizal and ectomycorrhizal symbioses. Nonetheless, we still remain ignorant of how ericaceous plant species, which dominate arctic and alpine tundra, constitute networks with their root-associated fungi. Based on a high-throughput DNA sequencing data set, we characterized the statistical properties of a network involving 16 ericaceous plant species and more than 500 fungal taxa in the alpine-subalpine region of Mt. Tateyama, central Japan. While all the 16 ericaceous species were associated mainly with fungi in the order Helotiales, they varied remarkably in association with fungi in other orders such as Sebacinales, Atheliales, Agaricales, Russulales and Thelephorales. The ericaceous plant-fungus network was characterized by high symbiont/host preferences. Moreover, the network had a characteristic structure called 'anti-nestedness', which has been previously reported in ectomycorrhizal plant-fungus networks. The results lead to the hypothesis that ericaceous plants in harsh environments can host unexpectedly diverse root-associated fungal taxa, constituting networks whose structures are similar to those of previously reported ectomycorrhizal networks but not to those of arbuscular mycorrhizal ones. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27136380</PMID><DateCompleted><Year>2017</Year><Month>06</Month><Day>12</Day></DateCompleted><DateRevised><Year>2019</Year><Month>03</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-294X</ISSN><JournalIssue CitedMedium="Internet"><Volume>25</Volume><Issue>13</Issue><PubDate><Year>2016</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>Ericaceous plant-fungus network in a harsh alpine-subalpine environment.</ArticleTitle><Pagination><MedlinePgn>3242-57</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/mec.13680</ELocationID><Abstract><AbstractText>In terrestrial ecosystems, plant species and diverse root-associated fungi form complex networks of host-symbiont associations. Recent studies have revealed that structures of those below-ground plant-fungus networks differ between arbuscular mycorrhizal and ectomycorrhizal symbioses. Nonetheless, we still remain ignorant of how ericaceous plant species, which dominate arctic and alpine tundra, constitute networks with their root-associated fungi. Based on a high-throughput DNA sequencing data set, we characterized the statistical properties of a network involving 16 ericaceous plant species and more than 500 fungal taxa in the alpine-subalpine region of Mt. Tateyama, central Japan. While all the 16 ericaceous species were associated mainly with fungi in the order Helotiales, they varied remarkably in association with fungi in other orders such as Sebacinales, Atheliales, Agaricales, Russulales and Thelephorales. The ericaceous plant-fungus network was characterized by high symbiont/host preferences. Moreover, the network had a characteristic structure called 'anti-nestedness', which has been previously reported in ectomycorrhizal plant-fungus networks. The results lead to the hypothesis that ericaceous plants in harsh environments can host unexpectedly diverse root-associated fungal taxa, constituting networks whose structures are similar to those of previously reported ectomycorrhizal networks but not to those of arbuscular mycorrhizal ones. </AbstractText><CopyrightInformation>© 2016 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Toju</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Graduate School of Human and Environmental Studies, Kyoto University, Sakyo, Kyoto, 606-8501, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tanabe</LastName><ForeName>A S</ForeName><Initials>AS</Initials><AffiliationInfo><Affiliation>National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency, 2-12-4 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-8648, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ishii</LastName><ForeName>H S</ForeName><Initials>HS</Initials><AffiliationInfo><Affiliation>Department of Environmental Biology and Chemistry, Graduate School of Science and Engineering, University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>06</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001203" MajorTopicYN="N">Ascomycota</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001487" MajorTopicYN="N">Basidiomycota</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003080" MajorTopicYN="N">Cold Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="N">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004777" MajorTopicYN="N">Environment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D029791" MajorTopicYN="N">Ericaceae</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D059014" MajorTopicYN="N">High-Throughput Nucleotide Sequencing</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007564" MajorTopicYN="N" Type="Geographic">Japan</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="N">Mycorrhizae</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="Y">classification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018517" MajorTopicYN="N">Plant Roots</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013559" MajorTopicYN="Y">Symbiosis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Illumina MiSeq</Keyword><Keyword MajorTopicYN="N">ericoid mycorrhizae</Keyword><Keyword MajorTopicYN="N">host specificity</Keyword><Keyword MajorTopicYN="N">nestedness</Keyword><Keyword MajorTopicYN="N">network theory</Keyword><Keyword MajorTopicYN="N">plant-soil feedback</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>02</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>04</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>04</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>5</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>5</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>3</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27136380</ArticleId><ArticleId IdType="doi">10.1111/mec.13680</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Japon</li></country><region><li>Région du Kansai</li></region><settlement><li>Kyoto</li></settlement><orgName><li>Université de Kyoto</li></orgName></list><tree><country name="Japon"><region name="Région du Kansai"><name sortKey="Toju, H" sort="Toju, H" uniqKey="Toju H" first="H" last="Toju">H. Toju</name></region><name sortKey="Ishii, H S" sort="Ishii, H S" uniqKey="Ishii H" first="H S" last="Ishii">H S Ishii</name><name sortKey="Tanabe, A S" sort="Tanabe, A S" uniqKey="Tanabe A" first="A S" last="Tanabe">A S Tanabe</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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