Signature wood modifications reveal decomposer community history.
Identifieur interne : 000794 ( Main/Exploration ); précédent : 000793; suivant : 000795Signature wood modifications reveal decomposer community history.
Auteurs : Jonathan S. Schilling [États-Unis] ; Justin T. Kaffenberger [États-Unis] ; Feng Jin Liew [États-Unis] ; Zewei Song [États-Unis]Source :
- PloS one [ 1932-6203 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- composition chimique : Bois.
- microbiologie : Bois.
- Biodiversité, Microbiote.
English descriptors
- KwdEn :
- MESH :
- chemistry : Wood.
- microbiology : Wood.
- Biodiversity, Microbiota.
Abstract
Correlating plant litter decay rates with initial tissue traits (e.g. C, N contents) is common practice, but in woody litter, predictive relationships are often weak. Variability in predicting wood decomposition is partially due to territorial competition among fungal decomposers that, in turn, have a range of nutritional strategies (rot types) and consequences on residues. Given this biotic influence, researchers are increasingly using culture-independent tools in an attempt to link variability more directly to decomposer groups. Our goal was to complement these tools by using certain wood modifications as 'signatures' that provide more functional information about decomposer dominance than density loss. Specifically, we used dilute alkali solubility (DAS; higher for brown rot) and lignin:density loss (L:D; higher for white rot) to infer rot type (binary) and fungal nutritional mode (gradient), respectively. We first determined strength of pattern among 29 fungi of known rot type by correlating DAS and L:D with mass loss in birch and pine. Having shown robust relationships for both techniques above a density loss threshold, we then demonstrated and resolved two issues relevant to species consortia and field trials, 1) spatial patchiness creating gravimetric bias (density bias), and 2) brown rot imprints prior or subsequent to white rot replacement (legacy effects). Finally, we field-tested our methods in a New Zealand Pinus radiata plantation in a paired-plot comparison. Overall, results validate these low-cost techniques that measure the collective histories of decomposer dominance in wood. The L:D measure also showed clear potential in classifying 'rot type' along a spectrum rather than as a traditional binary type (brown versus white rot), as it places the nutritional strategies of wood-degrading fungi on a scale (L:D=0-5, in this case). These information-rich measures of consequence can provide insight into their biological causes, strengthening the links between traits, structure, and function during wood decomposition.
DOI: 10.1371/journal.pone.0120679
PubMed: 25811364
PubMed Central: PMC4374725
Affiliations:
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Schilling</name><affiliation wicri:level="2"><nlm:affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America; Institute on the Environment, University of Minnesota, Saint Paul, Minnesota, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America; Institute on the Environment, University of Minnesota, Saint Paul, Minnesota</wicri:regionArea><placeName><region type="state">Minnesota</region></placeName></affiliation></author><author><name sortKey="Kaffenberger, Justin T" sort="Kaffenberger, Justin T" uniqKey="Kaffenberger J" first="Justin T" last="Kaffenberger">Justin T. Kaffenberger</name><affiliation wicri:level="2"><nlm:affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota</wicri:regionArea><placeName><region type="state">Minnesota</region></placeName></affiliation></author><author><name sortKey="Liew, Feng Jin" sort="Liew, Feng Jin" uniqKey="Liew F" first="Feng Jin" last="Liew">Feng Jin Liew</name><affiliation wicri:level="2"><nlm:affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota</wicri:regionArea><placeName><region type="state">Minnesota</region></placeName></affiliation></author><author><name sortKey="Song, Zewei" sort="Song, Zewei" uniqKey="Song Z" first="Zewei" last="Song">Zewei Song</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, University of Minnesota, Saint Paul, Minnesota, United States of America.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, University of Minnesota, Saint Paul, Minnesota</wicri:regionArea><placeName><region type="state">Minnesota</region></placeName></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biodiversity (MeSH)</term><term>Microbiota (MeSH)</term><term>Wood (chemistry)</term><term>Wood (microbiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biodiversité (MeSH)</term><term>Bois (composition chimique)</term><term>Bois (microbiologie)</term><term>Microbiote (MeSH)</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Wood</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Bois</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Bois</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Wood</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biodiversity</term><term>Microbiota</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biodiversité</term><term>Microbiote</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Correlating plant litter decay rates with initial tissue traits (e.g. C, N contents) is common practice, but in woody litter, predictive relationships are often weak. Variability in predicting wood decomposition is partially due to territorial competition among fungal decomposers that, in turn, have a range of nutritional strategies (rot types) and consequences on residues. Given this biotic influence, researchers are increasingly using culture-independent tools in an attempt to link variability more directly to decomposer groups. Our goal was to complement these tools by using certain wood modifications as 'signatures' that provide more functional information about decomposer dominance than density loss. Specifically, we used dilute alkali solubility (DAS; higher for brown rot) and lignin:density loss (L:D; higher for white rot) to infer rot type (binary) and fungal nutritional mode (gradient), respectively. We first determined strength of pattern among 29 fungi of known rot type by correlating DAS and L:D with mass loss in birch and pine. Having shown robust relationships for both techniques above a density loss threshold, we then demonstrated and resolved two issues relevant to species consortia and field trials, 1) spatial patchiness creating gravimetric bias (density bias), and 2) brown rot imprints prior or subsequent to white rot replacement (legacy effects). Finally, we field-tested our methods in a New Zealand Pinus radiata plantation in a paired-plot comparison. Overall, results validate these low-cost techniques that measure the collective histories of decomposer dominance in wood. The L:D measure also showed clear potential in classifying 'rot type' along a spectrum rather than as a traditional binary type (brown versus white rot), as it places the nutritional strategies of wood-degrading fungi on a scale (L:D=0-5, in this case). These information-rich measures of consequence can provide insight into their biological causes, strengthening the links between traits, structure, and function during wood decomposition. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25811364</PMID><DateCompleted><Year>2016</Year><Month>03</Month><Day>04</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>3</Issue><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Signature wood modifications reveal decomposer community history.</ArticleTitle><Pagination><MedlinePgn>e0120679</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0120679</ELocationID><Abstract><AbstractText>Correlating plant litter decay rates with initial tissue traits (e.g. C, N contents) is common practice, but in woody litter, predictive relationships are often weak. Variability in predicting wood decomposition is partially due to territorial competition among fungal decomposers that, in turn, have a range of nutritional strategies (rot types) and consequences on residues. Given this biotic influence, researchers are increasingly using culture-independent tools in an attempt to link variability more directly to decomposer groups. Our goal was to complement these tools by using certain wood modifications as 'signatures' that provide more functional information about decomposer dominance than density loss. Specifically, we used dilute alkali solubility (DAS; higher for brown rot) and lignin:density loss (L:D; higher for white rot) to infer rot type (binary) and fungal nutritional mode (gradient), respectively. We first determined strength of pattern among 29 fungi of known rot type by correlating DAS and L:D with mass loss in birch and pine. Having shown robust relationships for both techniques above a density loss threshold, we then demonstrated and resolved two issues relevant to species consortia and field trials, 1) spatial patchiness creating gravimetric bias (density bias), and 2) brown rot imprints prior or subsequent to white rot replacement (legacy effects). Finally, we field-tested our methods in a New Zealand Pinus radiata plantation in a paired-plot comparison. Overall, results validate these low-cost techniques that measure the collective histories of decomposer dominance in wood. The L:D measure also showed clear potential in classifying 'rot type' along a spectrum rather than as a traditional binary type (brown versus white rot), as it places the nutritional strategies of wood-degrading fungi on a scale (L:D=0-5, in this case). These information-rich measures of consequence can provide insight into their biological causes, strengthening the links between traits, structure, and function during wood decomposition. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Schilling</LastName><ForeName>Jonathan S</ForeName><Initials>JS</Initials><AffiliationInfo><Affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America; Institute on the Environment, University of Minnesota, Saint Paul, Minnesota, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kaffenberger</LastName><ForeName>Justin T</ForeName><Initials>JT</Initials><AffiliationInfo><Affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liew</LastName><ForeName>Feng Jin</ForeName><Initials>FJ</Initials><AffiliationInfo><Affiliation>Department of Bioproducts & Biosystems Engineering, University of Minnesota, Saint Paul, Minnesota, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Song</LastName><ForeName>Zewei</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, University of Minnesota, Saint Paul, Minnesota, United States of America.</Affiliation></AffiliationInfo></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>2015</Year><Month>03</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS 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8;111(27):9923-8</Citation><ArticleIdList><ArticleId IdType="pubmed">24958869</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Minnesota</li></region></list><tree><country name="États-Unis"><region name="Minnesota"><name sortKey="Schilling, Jonathan S" sort="Schilling, Jonathan S" uniqKey="Schilling J" first="Jonathan S" last="Schilling">Jonathan S. Schilling</name></region><name sortKey="Kaffenberger, Justin T" sort="Kaffenberger, Justin T" uniqKey="Kaffenberger J" first="Justin T" last="Kaffenberger">Justin T. Kaffenberger</name><name sortKey="Liew, Feng Jin" sort="Liew, Feng Jin" uniqKey="Liew F" first="Feng Jin" last="Liew">Feng Jin Liew</name><name sortKey="Song, Zewei" sort="Song, Zewei" uniqKey="Song Z" first="Zewei" last="Song">Zewei Song</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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