Identification of Quercus agrifolia (coast live oak) resistant to the invasive pathogen Phytophthora ramorum in native stands using Fourier-transform infrared (FT-IR) spectroscopy.
Identifieur interne : 001072 ( Main/Exploration ); précédent : 001071; suivant : 001073Identification of Quercus agrifolia (coast live oak) resistant to the invasive pathogen Phytophthora ramorum in native stands using Fourier-transform infrared (FT-IR) spectroscopy.
Auteurs : Anna O. Conrad [États-Unis] ; Luis E. Rodriguez-Saona [États-Unis] ; Brice A. Mcpherson [États-Unis] ; David L. Wood [États-Unis] ; Pierluigi Bonello [États-Unis]Source :
- Frontiers in plant science [ 1664-462X ] ; 2014.
Abstract
Over the last two decades coast live oak (CLO) dominance in many California coastal ecosystems has been threatened by the alien invasive pathogen Phytophthora ramorum, the causal agent of sudden oak death. In spite of high infection and mortality rates in some areas, the presence of apparently resistant trees has been observed, including trees that become infected but recover over time. However, identifying resistant trees based on recovery alone can take many years. The objective of this study was to determine if Fourier-transform infrared (FT-IR) spectroscopy, a chemical fingerprinting technique, can be used to identify CLO resistant to P. ramorum prior to infection. Soft independent modeling of class analogy identified spectral regions that differed between resistant and susceptible trees. Regions most useful for discrimination were associated with carbonyl group vibrations. Additionally, concentrations of two putative phenolic biomarkers of resistance were predicted using partial least squares regression; >99% of the variation was explained by this analysis. This study demonstrates that chemical fingerprinting can be used to identify resistance in a natural population of forest trees prior to infection with a pathogen. FT-IR spectroscopy may be a useful approach for managing forests impacted by sudden oak death, as well as in other situations where emerging or existing forest pests and diseases are of concern.
DOI: 10.3389/fpls.2014.00521
PubMed: 25352852
PubMed Central: PMC4196480
Affiliations:
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Rodriguez-Saona</name><affiliation wicri:level="2"><nlm:affiliation>Department of Food Science and Technology, The Ohio State University Columbus, OH, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Food Science and Technology, The Ohio State University Columbus, OH</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. 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In spite of high infection and mortality rates in some areas, the presence of apparently resistant trees has been observed, including trees that become infected but recover over time. However, identifying resistant trees based on recovery alone can take many years. The objective of this study was to determine if Fourier-transform infrared (FT-IR) spectroscopy, a chemical fingerprinting technique, can be used to identify CLO resistant to P. ramorum prior to infection. Soft independent modeling of class analogy identified spectral regions that differed between resistant and susceptible trees. Regions most useful for discrimination were associated with carbonyl group vibrations. Additionally, concentrations of two putative phenolic biomarkers of resistance were predicted using partial least squares regression; >99% of the variation was explained by this analysis. This study demonstrates that chemical fingerprinting can be used to identify resistance in a natural population of forest trees prior to infection with a pathogen. FT-IR spectroscopy may be a useful approach for managing forests impacted by sudden oak death, as well as in other situations where emerging or existing forest pests and diseases are of concern. </div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">25352852</PMID><DateCompleted><Year>2014</Year><Month>10</Month><Day>29</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>5</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Identification of Quercus agrifolia (coast live oak) resistant to the invasive pathogen Phytophthora ramorum in native stands using Fourier-transform infrared (FT-IR) spectroscopy.</ArticleTitle><Pagination><MedlinePgn>521</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2014.00521</ELocationID><Abstract><AbstractText>Over the last two decades coast live oak (CLO) dominance in many California coastal ecosystems has been threatened by the alien invasive pathogen Phytophthora ramorum, the causal agent of sudden oak death. In spite of high infection and mortality rates in some areas, the presence of apparently resistant trees has been observed, including trees that become infected but recover over time. However, identifying resistant trees based on recovery alone can take many years. The objective of this study was to determine if Fourier-transform infrared (FT-IR) spectroscopy, a chemical fingerprinting technique, can be used to identify CLO resistant to P. ramorum prior to infection. Soft independent modeling of class analogy identified spectral regions that differed between resistant and susceptible trees. Regions most useful for discrimination were associated with carbonyl group vibrations. Additionally, concentrations of two putative phenolic biomarkers of resistance were predicted using partial least squares regression; >99% of the variation was explained by this analysis. This study demonstrates that chemical fingerprinting can be used to identify resistance in a natural population of forest trees prior to infection with a pathogen. FT-IR spectroscopy may be a useful approach for managing forests impacted by sudden oak death, as well as in other situations where emerging or existing forest pests and diseases are of concern. </AbstractText></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 Columbus, OH, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rodriguez-Saona</LastName><ForeName>Luis E</ForeName><Initials>LE</Initials><AffiliationInfo><Affiliation>Department of Food Science and Technology, The Ohio State University Columbus, OH, 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, CA, 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, CA, 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 Columbus, OH, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>10</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant 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IdType="pubmed">20211156</ArticleId></ArticleIdList></Reference></ReferenceList></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="Mcpherson, Brice A" sort="Mcpherson, Brice A" uniqKey="Mcpherson B" first="Brice A" last="Mcpherson">Brice A. Mcpherson</name><name sortKey="Rodriguez Saona, Luis E" sort="Rodriguez Saona, Luis E" uniqKey="Rodriguez Saona L" first="Luis E" last="Rodriguez-Saona">Luis E. Rodriguez-Saona</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)
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