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Secondary ion mass spectrometry imaging and multivariate data analysis reveal co-aggregation patterns of Populus trichocarpa leaf surface compounds on a micrometer scale.

Identifieur interne : 000C86 ( Main/Exploration ); précédent : 000C85; suivant : 000C87

Secondary ion mass spectrometry imaging and multivariate data analysis reveal co-aggregation patterns of Populus trichocarpa leaf surface compounds on a micrometer scale.

Auteurs : Purva Kulkarni [Allemagne] ; Mina Dost [Allemagne] ; Özgül Demir Bulut [Allemagne] ; Alexander Welle [Allemagne] ; Sebastian Böcker [Allemagne] ; Wilhelm Boland [Allemagne] ; Aleš Svatoš [Allemagne]

Source :

RBID : pubmed:29117637

Descripteurs français

English descriptors

Abstract

Spatially resolved analysis of a multitude of compound classes has become feasible with the rapid advancement in mass spectrometry imaging strategies. In this study, we present a protocol that combines high lateral resolution time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging with a multivariate data analysis (MVA) approach to probe the complex leaf surface chemistry of Populus trichocarpa. Here, epicuticular waxes (EWs) found on the adaxial leaf surface of P. trichocarpa were blotted on silicon wafers and imaged using TOF-SIMS at 10 μm and 1 μm lateral resolution. Intense M+● and M-● molecular ions were clearly visible, which made it possible to resolve the individual compound classes present in EWs. Series of long-chain aliphatic saturated alcohols (C21 -C30 ), hydrocarbons (C25 -C33 ) and wax esters (WEs; C44 -C48 ) were clearly observed. These data correlated with the 7 Li-chelation matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis, which yielded mostly molecular adduct ions of the analyzed compounds. Subsequently, MVA was used to interrogate the TOF-SIMS dataset for identifying hidden patterns on the leaf's surface based on its chemical profile. After the application of principal component analysis (PCA), a small number of principal components (PCs) were found to be sufficient to explain maximum variance in the data. To further confirm the contributions from pure components, a five-factor multivariate curve resolution (MCR) model was applied. Two distinct patterns of small islets, here termed 'crystals', were apparent from the resulting score plots. Based on PCA and MCR results, the crystals were found to be formed by C23 or C29 alcohols. Other less obvious patterns observed in the PCs revealed that the adaxial leaf surface is coated with a relatively homogenous layer of alcohols, hydrocarbons and WEs. The ultra-high-resolution TOF-SIMS imaging combined with the MVA approach helped to highlight the diverse patterns underlying the leaf's surface. Currently, the methods available to analyze the surface chemistry of waxes in conjunction with the spatial information related to the distribution of compounds are limited. This study uses tools that may provide important biological insights into the composition of the wax layer, how this layer is repaired after mechanical damage or insect feeding, and which transport mechanisms are involved in deploying wax constituents to specific regions on the leaf surface.

DOI: 10.1111/tpj.13763
PubMed: 29117637


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<term>Plant Epidermis (chemistry)</term>
<term>Plant Leaves (chemistry)</term>
<term>Populus (chemistry)</term>
<term>Principal Component Analysis (MeSH)</term>
<term>Spectrometry, Mass, Secondary Ion (methods)</term>
<term>Waxes (chemistry)</term>
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<term>Cires (composition chimique)</term>
<term>Feuilles de plante (composition chimique)</term>
<term>Populus (composition chimique)</term>
<term>Spectrométrie de masse d'ions secondaires (méthodes)</term>
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<div type="abstract" xml:lang="en">Spatially resolved analysis of a multitude of compound classes has become feasible with the rapid advancement in mass spectrometry imaging strategies. In this study, we present a protocol that combines high lateral resolution time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging with a multivariate data analysis (MVA) approach to probe the complex leaf surface chemistry of Populus trichocarpa. Here, epicuticular waxes (EWs) found on the adaxial leaf surface of P. trichocarpa were blotted on silicon wafers and imaged using TOF-SIMS at 10 μm and 1 μm lateral resolution. Intense M
<sup>+●</sup>
and M
<sup>-●</sup>
molecular ions were clearly visible, which made it possible to resolve the individual compound classes present in EWs. Series of long-chain aliphatic saturated alcohols (C
<sub>21</sub>
-C
<sub>30</sub>
), hydrocarbons (C
<sub>25</sub>
-C
<sub>33</sub>
) and wax esters (WEs; C
<sub>44</sub>
-C
<sub>48</sub>
) were clearly observed. These data correlated with the
<sup>7</sup>
Li-chelation matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis, which yielded mostly molecular adduct ions of the analyzed compounds. Subsequently, MVA was used to interrogate the TOF-SIMS dataset for identifying hidden patterns on the leaf's surface based on its chemical profile. After the application of principal component analysis (PCA), a small number of principal components (PCs) were found to be sufficient to explain maximum variance in the data. To further confirm the contributions from pure components, a five-factor multivariate curve resolution (MCR) model was applied. Two distinct patterns of small islets, here termed 'crystals', were apparent from the resulting score plots. Based on PCA and MCR results, the crystals were found to be formed by C
<sub>23</sub>
or C
<sub>29</sub>
alcohols. Other less obvious patterns observed in the PCs revealed that the adaxial leaf surface is coated with a relatively homogenous layer of alcohols, hydrocarbons and WEs. The ultra-high-resolution TOF-SIMS imaging combined with the MVA approach helped to highlight the diverse patterns underlying the leaf's surface. Currently, the methods available to analyze the surface chemistry of waxes in conjunction with the spatial information related to the distribution of compounds are limited. This study uses tools that may provide important biological insights into the composition of the wax layer, how this layer is repaired after mechanical damage or insect feeding, and which transport mechanisms are involved in deploying wax constituents to specific regions on the leaf surface.</div>
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<AbstractText>Spatially resolved analysis of a multitude of compound classes has become feasible with the rapid advancement in mass spectrometry imaging strategies. In this study, we present a protocol that combines high lateral resolution time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging with a multivariate data analysis (MVA) approach to probe the complex leaf surface chemistry of Populus trichocarpa. Here, epicuticular waxes (EWs) found on the adaxial leaf surface of P. trichocarpa were blotted on silicon wafers and imaged using TOF-SIMS at 10 μm and 1 μm lateral resolution. Intense M
<sup>+●</sup>
and M
<sup>-●</sup>
molecular ions were clearly visible, which made it possible to resolve the individual compound classes present in EWs. Series of long-chain aliphatic saturated alcohols (C
<sub>21</sub>
-C
<sub>30</sub>
), hydrocarbons (C
<sub>25</sub>
-C
<sub>33</sub>
) and wax esters (WEs; C
<sub>44</sub>
-C
<sub>48</sub>
) were clearly observed. These data correlated with the
<sup>7</sup>
Li-chelation matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis, which yielded mostly molecular adduct ions of the analyzed compounds. Subsequently, MVA was used to interrogate the TOF-SIMS dataset for identifying hidden patterns on the leaf's surface based on its chemical profile. After the application of principal component analysis (PCA), a small number of principal components (PCs) were found to be sufficient to explain maximum variance in the data. To further confirm the contributions from pure components, a five-factor multivariate curve resolution (MCR) model was applied. Two distinct patterns of small islets, here termed 'crystals', were apparent from the resulting score plots. Based on PCA and MCR results, the crystals were found to be formed by C
<sub>23</sub>
or C
<sub>29</sub>
alcohols. Other less obvious patterns observed in the PCs revealed that the adaxial leaf surface is coated with a relatively homogenous layer of alcohols, hydrocarbons and WEs. The ultra-high-resolution TOF-SIMS imaging combined with the MVA approach helped to highlight the diverse patterns underlying the leaf's surface. Currently, the methods available to analyze the surface chemistry of waxes in conjunction with the spatial information related to the distribution of compounds are limited. This study uses tools that may provide important biological insights into the composition of the wax layer, how this layer is repaired after mechanical damage or insect feeding, and which transport mechanisms are involved in deploying wax constituents to specific regions on the leaf surface.</AbstractText>
<CopyrightInformation>© 2017 The Authors The Plant Journal © 2017 John Wiley & Sons Ltd.</CopyrightInformation>
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<Affiliation>Institute of Functional Interfaces and Karlsruhe Nano Micro Facility, Karlsruhe Institute of Technology (KIT), 76344, Eggenstein-Leopoldshafen, Germany.</Affiliation>
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<Initials>S</Initials>
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<Affiliation>Lehrstuhl für Bioinformatik, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany.</Affiliation>
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<LastName>Boland</LastName>
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<Affiliation>Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Hans-Knöll-Strasse 8, 07745, Jena, Germany.</Affiliation>
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<LastName>Svatoš</LastName>
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<Initials>A</Initials>
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<Affiliation>Research Group Mass Spectrometry, Max Planck Institute for Chemical Ecology, Hans-Knöll-Strasse 8, 07745, Jena, Germany.</Affiliation>
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<MedlineTA>Plant J</MedlineTA>
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<DescriptorName UI="D019441" MajorTopicYN="N">Plant Epidermis</DescriptorName>
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<DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName>
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<DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName>
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<Keyword MajorTopicYN="N">Populus trichocarpa </Keyword>
<Keyword MajorTopicYN="N">SIMS imaging</Keyword>
<Keyword MajorTopicYN="N">co-localization</Keyword>
<Keyword MajorTopicYN="N">data analysis</Keyword>
<Keyword MajorTopicYN="N">leaf surface</Keyword>
<Keyword MajorTopicYN="N">leaf surface compounds</Keyword>
<Keyword MajorTopicYN="N">multivariate analysis</Keyword>
<Keyword MajorTopicYN="N">secondary ion mass spectrometry</Keyword>
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<Month>08</Month>
<Day>23</Day>
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<Year>2017</Year>
<Month>10</Month>
<Day>13</Day>
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<PubMedPubDate PubStatus="accepted">
<Year>2017</Year>
<Month>10</Month>
<Day>23</Day>
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<PublicationStatus>ppublish</PublicationStatus>
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<ArticleId IdType="doi">10.1111/tpj.13763</ArticleId>
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<li>Allemagne</li>
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<name sortKey="Bocker, Sebastian" sort="Bocker, Sebastian" uniqKey="Bocker S" first="Sebastian" last="Böcker">Sebastian Böcker</name>
<name sortKey="Boland, Wilhelm" sort="Boland, Wilhelm" uniqKey="Boland W" first="Wilhelm" last="Boland">Wilhelm Boland</name>
<name sortKey="Bulut, Ozgul Demir" sort="Bulut, Ozgul Demir" uniqKey="Bulut O" first="Özgül Demir" last="Bulut">Özgül Demir Bulut</name>
<name sortKey="Dost, Mina" sort="Dost, Mina" uniqKey="Dost M" first="Mina" last="Dost">Mina Dost</name>
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<name sortKey="Welle, Alexander" sort="Welle, Alexander" uniqKey="Welle A" first="Alexander" last="Welle">Alexander Welle</name>
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