Rapid metabolic profiling of Nicotiana tabacum defence responses against Phytophthora nicotianae using direct infrared laser desorption ionization mass spectrometry and principal component analysis.
Identifieur interne : 001844 ( Main/Exploration ); précédent : 001843; suivant : 001845Rapid metabolic profiling of Nicotiana tabacum defence responses against Phytophthora nicotianae using direct infrared laser desorption ionization mass spectrometry and principal component analysis.
Auteurs : Alfredo J. Ibá Ez [Allemagne] ; Judith Scharte ; Philipp Bones ; Alexander Pirkl ; Stefan Meldau ; Ian T. Baldwin ; Franz Hillenkamp ; Engelbert Weis ; Klaus DreisewerdSource :
- Plant methods [ 1746-4811 ] ; 2010.
Abstract
BACKGROUND
Successful defence of tobacco plants against attack from the oomycete Phytophthora nicotianae includes a type of local programmed cell death called the hypersensitive response. Complex and not completely understood signaling processes are required to mediate the development of this defence in the infected tissue. Here, we demonstrate that different families of metabolites can be monitored in small pieces of infected, mechanically-stressed, and healthy tobacco leaves using direct infrared laser desorption ionization orthogonal time-of-flight mass spectrometry. The defence response was monitored for 1 - 9 hours post infection.
RESULTS
Infrared laser desorption ionization orthogonal time-of-flight mass spectrometry allows rapid and simultaneous detection in both negative and positive ion mode of a wide range of naturally occurring primary and secondary metabolites. An unsupervised principal component analysis was employed to identify correlations between changes in metabolite expression (obtained at different times and sample treatment conditions) and the overall defence response.A one-dimensional projection of the principal components 1 and 2 obtained from positive ion mode spectra was used to generate a Biological Response Index (BRI). The BRI obtained for each sample treatment was compared with the number of dead cells found in the respective tissue. The high correlation between these two values suggested that the BRI provides a rapid assessment of the plant response against the pathogen infection. Evaluation of the loading plots of the principal components (1 and 2) reveals a correlation among three metabolic cascades and the defence response generated in infected leaves. Analysis of selected phytohormones by liquid chromatography electrospray ionization mass spectrometry verified our findings.
CONCLUSION
The described methodology allows for rapid assessment of infection-specific changes in the plant metabolism, in particular of phenolics, alkaloids, oxylipins, and carbohydrates. Moreover, potential novel biomarkers can be detected and used to predict the quality of plant infections.
DOI: 10.1186/1746-4811-6-14
PubMed: 20534155
PubMed Central: PMC2904756
Affiliations:
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Ibá Ez</name><affiliation wicri:level="3"><nlm:affiliation>Institute of Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Robert-Koch-Str, 31, D-48149 Münster, Germany. dreisew@uni-muenster.de.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Robert-Koch-Str, 31, D-48149 Münster</wicri:regionArea><placeName><region type="land" nuts="1">Rhénanie-du-Nord-Westphalie</region><region type="district" nuts="2">District de Münster</region><settlement type="city">Münster</settlement></placeName></affiliation></author><author><name sortKey="Scharte, Judith" sort="Scharte, Judith" uniqKey="Scharte J" first="Judith" last="Scharte">Judith Scharte</name></author><author><name sortKey="Bones, Philipp" sort="Bones, Philipp" uniqKey="Bones P" first="Philipp" last="Bones">Philipp Bones</name></author><author><name sortKey="Pirkl, Alexander" sort="Pirkl, Alexander" uniqKey="Pirkl A" first="Alexander" last="Pirkl">Alexander Pirkl</name></author><author><name sortKey="Meldau, Stefan" sort="Meldau, Stefan" uniqKey="Meldau S" first="Stefan" last="Meldau">Stefan Meldau</name></author><author><name sortKey="Baldwin, Ian T" sort="Baldwin, Ian T" uniqKey="Baldwin I" first="Ian T" last="Baldwin">Ian T. 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Ibá Ez</name><affiliation wicri:level="3"><nlm:affiliation>Institute of Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Robert-Koch-Str, 31, D-48149 Münster, Germany. dreisew@uni-muenster.de.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Robert-Koch-Str, 31, D-48149 Münster</wicri:regionArea><placeName><region type="land" nuts="1">Rhénanie-du-Nord-Westphalie</region><region type="district" nuts="2">District de Münster</region><settlement type="city">Münster</settlement></placeName></affiliation></author><author><name sortKey="Scharte, Judith" sort="Scharte, Judith" uniqKey="Scharte J" first="Judith" last="Scharte">Judith Scharte</name></author><author><name sortKey="Bones, Philipp" sort="Bones, Philipp" uniqKey="Bones P" first="Philipp" last="Bones">Philipp Bones</name></author><author><name sortKey="Pirkl, Alexander" sort="Pirkl, Alexander" uniqKey="Pirkl A" first="Alexander" last="Pirkl">Alexander Pirkl</name></author><author><name sortKey="Meldau, Stefan" sort="Meldau, Stefan" uniqKey="Meldau S" first="Stefan" last="Meldau">Stefan Meldau</name></author><author><name sortKey="Baldwin, Ian T" sort="Baldwin, Ian T" uniqKey="Baldwin I" first="Ian T" last="Baldwin">Ian T. Baldwin</name></author><author><name sortKey="Hillenkamp, Franz" sort="Hillenkamp, Franz" uniqKey="Hillenkamp F" first="Franz" last="Hillenkamp">Franz Hillenkamp</name></author><author><name sortKey="Weis, Engelbert" sort="Weis, Engelbert" uniqKey="Weis E" first="Engelbert" last="Weis">Engelbert Weis</name></author><author><name sortKey="Dreisewerd, Klaus" sort="Dreisewerd, Klaus" uniqKey="Dreisewerd K" first="Klaus" last="Dreisewerd">Klaus Dreisewerd</name></author></analytic><series><title level="j">Plant methods</title><idno type="eISSN">1746-4811</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Successful defence of tobacco plants against attack from the oomycete Phytophthora nicotianae includes a type of local programmed cell death called the hypersensitive response. Complex and not completely understood signaling processes are required to mediate the development of this defence in the infected tissue. Here, we demonstrate that different families of metabolites can be monitored in small pieces of infected, mechanically-stressed, and healthy tobacco leaves using direct infrared laser desorption ionization orthogonal time-of-flight mass spectrometry. The defence response was monitored for 1 - 9 hours post infection.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Infrared laser desorption ionization orthogonal time-of-flight mass spectrometry allows rapid and simultaneous detection in both negative and positive ion mode of a wide range of naturally occurring primary and secondary metabolites. An unsupervised principal component analysis was employed to identify correlations between changes in metabolite expression (obtained at different times and sample treatment conditions) and the overall defence response.A one-dimensional projection of the principal components 1 and 2 obtained from positive ion mode spectra was used to generate a Biological Response Index (BRI). The BRI obtained for each sample treatment was compared with the number of dead cells found in the respective tissue. The high correlation between these two values suggested that the BRI provides a rapid assessment of the plant response against the pathogen infection. Evaluation of the loading plots of the principal components (1 and 2) reveals a correlation among three metabolic cascades and the defence response generated in infected leaves. Analysis of selected phytohormones by liquid chromatography electrospray ionization mass spectrometry verified our findings.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>The described methodology allows for rapid assessment of infection-specific changes in the plant metabolism, in particular of phenolics, alkaloids, oxylipins, and carbohydrates. Moreover, potential novel biomarkers can be detected and used to predict the quality of plant infections.</p></div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">20534155</PMID><DateCompleted><Year>2011</Year><Month>07</Month><Day>14</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1746-4811</ISSN><JournalIssue CitedMedium="Internet"><Volume>6</Volume><PubDate><Year>2010</Year><Month>Jun</Month><Day>09</Day></PubDate></JournalIssue><Title>Plant methods</Title><ISOAbbreviation>Plant Methods</ISOAbbreviation></Journal><ArticleTitle>Rapid metabolic profiling of Nicotiana tabacum defence responses against Phytophthora nicotianae using direct infrared laser desorption ionization mass spectrometry and principal component analysis.</ArticleTitle><Pagination><MedlinePgn>14</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1746-4811-6-14</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Successful defence of tobacco plants against attack from the oomycete Phytophthora nicotianae includes a type of local programmed cell death called the hypersensitive response. Complex and not completely understood signaling processes are required to mediate the development of this defence in the infected tissue. Here, we demonstrate that different families of metabolites can be monitored in small pieces of infected, mechanically-stressed, and healthy tobacco leaves using direct infrared laser desorption ionization orthogonal time-of-flight mass spectrometry. The defence response was monitored for 1 - 9 hours post infection.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Infrared laser desorption ionization orthogonal time-of-flight mass spectrometry allows rapid and simultaneous detection in both negative and positive ion mode of a wide range of naturally occurring primary and secondary metabolites. An unsupervised principal component analysis was employed to identify correlations between changes in metabolite expression (obtained at different times and sample treatment conditions) and the overall defence response.A one-dimensional projection of the principal components 1 and 2 obtained from positive ion mode spectra was used to generate a Biological Response Index (BRI). The BRI obtained for each sample treatment was compared with the number of dead cells found in the respective tissue. The high correlation between these two values suggested that the BRI provides a rapid assessment of the plant response against the pathogen infection. Evaluation of the loading plots of the principal components (1 and 2) reveals a correlation among three metabolic cascades and the defence response generated in infected leaves. Analysis of selected phytohormones by liquid chromatography electrospray ionization mass spectrometry verified our findings.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The described methodology allows for rapid assessment of infection-specific changes in the plant metabolism, in particular of phenolics, alkaloids, oxylipins, and carbohydrates. Moreover, potential novel biomarkers can be detected and used to predict the quality of plant infections.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ibáñez</LastName><ForeName>Alfredo J</ForeName><Initials>AJ</Initials><AffiliationInfo><Affiliation>Institute of Medical Physics and Biophysics, Westfälische Wilhelms-Universität Münster, Robert-Koch-Str, 31, D-48149 Münster, Germany. dreisew@uni-muenster.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Scharte</LastName><ForeName>Judith</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Bones</LastName><ForeName>Philipp</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Pirkl</LastName><ForeName>Alexander</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Meldau</LastName><ForeName>Stefan</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Baldwin</LastName><ForeName>Ian T</ForeName><Initials>IT</Initials></Author><Author ValidYN="Y"><LastName>Hillenkamp</LastName><ForeName>Franz</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Weis</LastName><ForeName>Engelbert</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Dreisewerd</LastName><ForeName>Klaus</ForeName><Initials>K</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>06</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Plant Methods</MedlineTA><NlmUniqueID>101245798</NlmUniqueID><ISSNLinking>1746-4811</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>03</Month><Day>31</Day></PubMedPubDate><PubMedPubDate 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|texte= Rapid metabolic profiling of Nicotiana tabacum defence responses against Phytophthora nicotianae using direct infrared laser desorption ionization mass spectrometry and principal component analysis.
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HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:20534155" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhytophthoraV1
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