Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.
Identifieur interne : 000A43 ( Main/Exploration ); précédent : 000A42; suivant : 000A44Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.
Auteurs : Anna O. Conrad [États-Unis] ; Brice A. Mcpherson [États-Unis] ; David L. Wood [États-Unis] ; Laurence V. Madden [États-Unis] ; Pierluigi Bonello [États-Unis]Source :
- Tree physiology [ 1758-4469 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- microbiologie : Maladies des plantes, Quercus.
- métabolisme : Flavonoïdes, Marqueurs biologiques, Phénols, Quercus.
- pathogénicité : Phytophthora.
- Saisons.
English descriptors
- KwdEn :
- MESH :
- chemical , metabolism : Biomarkers, Flavonoids, Phenols.
- metabolism : Quercus.
- microbiology : Plant Diseases, Quercus.
- pathogenicity : Phytophthora.
- Seasons.
Abstract
Sudden oak death, caused by the invasive pathogen Phytophthora ramorum Werres, de Cock & Man in't Veld, can be deadly for Quercus agrifolia Neé (coast live oak, CLO). However, resistant trees have been observed in natural populations. The objective of this study was to examine if pre-attack (constitutive) levels of phenolic compounds can be used as biomarkers to identify trees likely to be resistant. Naïve trees were selected from a natural population and phloem was sampled for analysis of constitutive phenolics. Following P. ramorum inoculation, trees were phenotyped to determine disease susceptibility and constitutive phenolic biomarkers of resistance were identified. Seasonal variation in phloem phenolics was also assessed in a subset of non-inoculated trees. Four biomarkers, including myricitrin and three incompletely characterized flavonoids, together correctly classified 80% of trees. Biomarker levels were then used to predict survival of inoculated CLO and the proportion of resistant trees within a subset of non-inoculated trees from the same population. Levels of five phenolics were significantly affected by season, but with no pronounced variation in average levels among seasons. These results suggest that pre-infection levels of specific phenolic compounds (i.e., biomarkers) can identify trees naturally resistant to this invasive forest pathogen. Knowledge of resistant trees within natural populations may be useful for conserving and breeding resistant trees and for disease management.
DOI: 10.1093/treephys/tpx116
PubMed: 29036534
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.</title><author><name sortKey="Conrad, Anna O" sort="Conrad, Anna O" uniqKey="Conrad A" first="Anna O" last="Conrad">Anna O. Conrad</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author><author><name sortKey="Mcpherson, Brice A" sort="Mcpherson, Brice A" uniqKey="Mcpherson B" first="Brice A" last="Mcpherson">Brice A. Mcpherson</name><affiliation wicri:level="2"><nlm:affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Wood, David L" sort="Wood, David L" uniqKey="Wood D" first="David L" last="Wood">David L. Wood</name><affiliation wicri:level="2"><nlm:affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Madden, Laurence V" sort="Madden, Laurence V" uniqKey="Madden L" first="Laurence V" last="Madden">Laurence V. Madden</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 1680 Madison Avenue, Wooster, OH 44691, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 1680 Madison Avenue, Wooster, OH 44691</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author><author><name sortKey="Bonello, Pierluigi" sort="Bonello, Pierluigi" uniqKey="Bonello P" first="Pierluigi" last="Bonello">Pierluigi Bonello</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:29036534</idno><idno type="pmid">29036534</idno><idno type="doi">10.1093/treephys/tpx116</idno><idno type="wicri:Area/Main/Corpus">000903</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000903</idno><idno type="wicri:Area/Main/Curation">000903</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000903</idno><idno type="wicri:Area/Main/Exploration">000903</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.</title><author><name sortKey="Conrad, Anna O" sort="Conrad, Anna O" uniqKey="Conrad A" first="Anna O" last="Conrad">Anna O. Conrad</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author><author><name sortKey="Mcpherson, Brice A" sort="Mcpherson, Brice A" uniqKey="Mcpherson B" first="Brice A" last="Mcpherson">Brice A. Mcpherson</name><affiliation wicri:level="2"><nlm:affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Wood, David L" sort="Wood, David L" uniqKey="Wood D" first="David L" last="Wood">David L. Wood</name><affiliation wicri:level="2"><nlm:affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Madden, Laurence V" sort="Madden, Laurence V" uniqKey="Madden L" first="Laurence V" last="Madden">Laurence V. Madden</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 1680 Madison Avenue, Wooster, OH 44691, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 1680 Madison Avenue, Wooster, OH 44691</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author><author><name sortKey="Bonello, Pierluigi" sort="Bonello, Pierluigi" uniqKey="Bonello P" first="Pierluigi" last="Bonello">Pierluigi Bonello</name><affiliation wicri:level="2"><nlm:affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210</wicri:regionArea><placeName><region type="state">Ohio</region></placeName></affiliation></author></analytic><series><title level="j">Tree physiology</title><idno type="eISSN">1758-4469</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomarkers (metabolism)</term><term>Flavonoids (metabolism)</term><term>Phenols (metabolism)</term><term>Phytophthora (pathogenicity)</term><term>Plant Diseases (microbiology)</term><term>Quercus (metabolism)</term><term>Quercus (microbiology)</term><term>Seasons (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Flavonoïdes (métabolisme)</term><term>Maladies des plantes (microbiologie)</term><term>Marqueurs biologiques (métabolisme)</term><term>Phytophthora (pathogénicité)</term><term>Phénols (métabolisme)</term><term>Quercus (microbiologie)</term><term>Quercus (métabolisme)</term><term>Saisons (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Biomarkers</term><term>Flavonoids</term><term>Phenols</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Quercus</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Quercus</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Quercus</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Flavonoïdes</term><term>Marqueurs biologiques</term><term>Phénols</term><term>Quercus</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Phytophthora</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Phytophthora</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Seasons</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Saisons</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Sudden oak death, caused by the invasive pathogen Phytophthora ramorum Werres, de Cock & Man in't Veld, can be deadly for Quercus agrifolia Neé (coast live oak, CLO). However, resistant trees have been observed in natural populations. The objective of this study was to examine if pre-attack (constitutive) levels of phenolic compounds can be used as biomarkers to identify trees likely to be resistant. Naïve trees were selected from a natural population and phloem was sampled for analysis of constitutive phenolics. Following P. ramorum inoculation, trees were phenotyped to determine disease susceptibility and constitutive phenolic biomarkers of resistance were identified. Seasonal variation in phloem phenolics was also assessed in a subset of non-inoculated trees. Four biomarkers, including myricitrin and three incompletely characterized flavonoids, together correctly classified 80% of trees. Biomarker levels were then used to predict survival of inoculated CLO and the proportion of resistant trees within a subset of non-inoculated trees from the same population. Levels of five phenolics were significantly affected by season, but with no pronounced variation in average levels among seasons. These results suggest that pre-infection levels of specific phenolic compounds (i.e., biomarkers) can identify trees naturally resistant to this invasive forest pathogen. Knowledge of resistant trees within natural populations may be useful for conserving and breeding resistant trees and for disease management.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29036534</PMID><DateCompleted><Year>2018</Year><Month>10</Month><Day>22</Day></DateCompleted><DateRevised><Year>2018</Year><Month>10</Month><Day>22</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1758-4469</ISSN><JournalIssue CitedMedium="Internet"><Volume>37</Volume><Issue>12</Issue><PubDate><Year>2017</Year><Month>12</Month><Day>01</Day></PubDate></JournalIssue><Title>Tree physiology</Title><ISOAbbreviation>Tree Physiol</ISOAbbreviation></Journal><ArticleTitle>Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.</ArticleTitle><Pagination><MedlinePgn>1686-1696</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/treephys/tpx116</ELocationID><Abstract><AbstractText>Sudden oak death, caused by the invasive pathogen Phytophthora ramorum Werres, de Cock & Man in't Veld, can be deadly for Quercus agrifolia Neé (coast live oak, CLO). However, resistant trees have been observed in natural populations. The objective of this study was to examine if pre-attack (constitutive) levels of phenolic compounds can be used as biomarkers to identify trees likely to be resistant. Naïve trees were selected from a natural population and phloem was sampled for analysis of constitutive phenolics. Following P. ramorum inoculation, trees were phenotyped to determine disease susceptibility and constitutive phenolic biomarkers of resistance were identified. Seasonal variation in phloem phenolics was also assessed in a subset of non-inoculated trees. Four biomarkers, including myricitrin and three incompletely characterized flavonoids, together correctly classified 80% of trees. Biomarker levels were then used to predict survival of inoculated CLO and the proportion of resistant trees within a subset of non-inoculated trees from the same population. Levels of five phenolics were significantly affected by season, but with no pronounced variation in average levels among seasons. These results suggest that pre-infection levels of specific phenolic compounds (i.e., biomarkers) can identify trees naturally resistant to this invasive forest pathogen. Knowledge of resistant trees within natural populations may be useful for conserving and breeding resistant trees and for disease management.</AbstractText><CopyrightInformation>© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Conrad</LastName><ForeName>Anna O</ForeName><Initials>AO</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>McPherson</LastName><ForeName>Brice A</ForeName><Initials>BA</Initials><AffiliationInfo><Affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wood</LastName><ForeName>David L</ForeName><Initials>DL</Initials><AffiliationInfo><Affiliation>Department of Environmental Science, Policy, and Management, University of California, Berkeley, Mulford Hall, Berkeley, CA 94720, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Madden</LastName><ForeName>Laurence V</ForeName><Initials>LV</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, The Ohio State University, 1680 Madison Avenue, Wooster, OH 44691, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bonello</LastName><ForeName>Pierluigi</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Plant Pathology, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>Tree Physiol</MedlineTA><NlmUniqueID>100955338</NlmUniqueID><ISSNLinking>0829-318X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005419">Flavonoids</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010636">Phenols</NameOfSubstance></Chemical><Chemical><RegistryNumber>5Z0ZO61WPJ</RegistryNumber><NameOfSubstance UI="C008577">myricitrin</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D015415" MajorTopicYN="N">Biomarkers</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005419" MajorTopicYN="N">Flavonoids</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010636" MajorTopicYN="N">Phenols</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010838" MajorTopicYN="N">Phytophthora</DescriptorName><QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D029963" MajorTopicYN="N">Quercus</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">coast live oak</Keyword><Keyword MajorTopicYN="Y">metabolites</Keyword><Keyword MajorTopicYN="Y">pre-infection</Keyword><Keyword MajorTopicYN="Y">predicting disease susceptibility</Keyword><Keyword MajorTopicYN="Y">sudden oak death</Keyword><Keyword MajorTopicYN="Y">survival</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>02</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>08</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>10</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>10</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>10</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29036534</ArticleId><ArticleId IdType="pii">4237727</ArticleId><ArticleId IdType="doi">10.1093/treephys/tpx116</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Ohio</li></region></list><tree><country name="États-Unis"><region name="Ohio"><name sortKey="Conrad, Anna O" sort="Conrad, Anna O" uniqKey="Conrad A" first="Anna O" last="Conrad">Anna O. Conrad</name></region><name sortKey="Bonello, Pierluigi" sort="Bonello, Pierluigi" uniqKey="Bonello P" first="Pierluigi" last="Bonello">Pierluigi Bonello</name><name sortKey="Madden, Laurence V" sort="Madden, Laurence V" uniqKey="Madden L" first="Laurence V" last="Madden">Laurence V. Madden</name><name sortKey="Mcpherson, Brice A" sort="Mcpherson, Brice A" uniqKey="Mcpherson B" first="Brice A" last="Mcpherson">Brice A. Mcpherson</name><name sortKey="Wood, David L" sort="Wood, David L" uniqKey="Wood D" first="David L" last="Wood">David L. Wood</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PhytophthoraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000A43 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000A43 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PhytophthoraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:29036534
|texte= Constitutive phenolic biomarkers identify naïve Quercus agrifolia resistant to Phytophthora ramorum, the causal agent of sudden oak death.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:29036534" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhytophthoraV1
| This area was generated with Dilib version V0.6.38. |  |