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Identification of lignin and polysaccharide modifications in Populus wood by chemometric analysis of 2D NMR spectra from dissolved cell walls.

Identifieur interne : 003595 ( Main/Exploration ); précédent : 003594; suivant : 003596

Identification of lignin and polysaccharide modifications in Populus wood by chemometric analysis of 2D NMR spectra from dissolved cell walls.

Auteurs : Mattias Hedenström [Suède] ; Susanne Wiklund-Lindström ; Tommy Oman ; Fachuang Lu ; Lorenz Gerber ; Paul Schatz ; Björn Sundberg ; John Ralph

Source :

RBID : pubmed:19825670

Descripteurs français

English descriptors

Abstract

2D 13C-(1)H HSQC NMR spectroscopy of acetylated cell walls in solution gives a detailed fingerprint that can be used to assess the chemical composition of the complete wall without extensive degradation. We demonstrate how multivariate analysis of such spectra can be used to visualize cell wall changes between sample types as high-resolution 2D NMR loading spectra. Changes in composition and structure for both lignin and polysaccharides can subsequently be interpreted on a molecular level. The multivariate approach alleviates problems associated with peak picking of overlapping peaks, and it allows the deduction of the relative importance of each peak for sample discrimination. As a first proof of concept, we compare Populus tension wood to normal wood. All well established differences in cellulose, hemicellulose, and lignin compositions between these wood types were readily detected, confirming the reliability of the multivariate approach. In a second example, wood from transgenic Populus modified in their degree of pectin methylesterification was compared to that of wild-type trees. We show that differences in both lignin and polysaccharide composition that are difficult to detect with traditional spectral analysis and that could not be a priori predicted were revealed by the multivariate approach. 2D NMR of dissolved cell wall samples combined with multivariate analysis constitutes a novel approach in cell wall analysis and provides a new tool that will benefit cell wall research.

DOI: 10.1093/mp/ssp047
PubMed: 19825670


Affiliations:


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Le document en format XML

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<name sortKey="Oman, Tommy" sort="Oman, Tommy" uniqKey="Oman T" first="Tommy" last="Oman">Tommy Oman</name>
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<name sortKey="Lu, Fachuang" sort="Lu, Fachuang" uniqKey="Lu F" first="Fachuang" last="Lu">Fachuang Lu</name>
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<term>Cell Wall (chemistry)</term>
<term>Cell Wall (metabolism)</term>
<term>Lignin (chemistry)</term>
<term>Multivariate Analysis (MeSH)</term>
<term>Nuclear Magnetic Resonance, Biomolecular (MeSH)</term>
<term>Polysaccharides (chemistry)</term>
<term>Populus (chemistry)</term>
<term>Wood (chemistry)</term>
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<term>Analyse multifactorielle (MeSH)</term>
<term>Bois (composition chimique)</term>
<term>Lignine (composition chimique)</term>
<term>Paroi cellulaire (composition chimique)</term>
<term>Paroi cellulaire (métabolisme)</term>
<term>Polyosides (composition chimique)</term>
<term>Populus (composition chimique)</term>
<term>Résonance magnétique nucléaire biomoléculaire (MeSH)</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en">
<term>Lignin</term>
<term>Polysaccharides</term>
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<term>Cell Wall</term>
<term>Populus</term>
<term>Wood</term>
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<term>Bois</term>
<term>Lignine</term>
<term>Paroi cellulaire</term>
<term>Polyosides</term>
<term>Populus</term>
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<term>Paroi cellulaire</term>
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<term>Multivariate Analysis</term>
<term>Nuclear Magnetic Resonance, Biomolecular</term>
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<div type="abstract" xml:lang="en">2D 13C-(1)H HSQC NMR spectroscopy of acetylated cell walls in solution gives a detailed fingerprint that can be used to assess the chemical composition of the complete wall without extensive degradation. We demonstrate how multivariate analysis of such spectra can be used to visualize cell wall changes between sample types as high-resolution 2D NMR loading spectra. Changes in composition and structure for both lignin and polysaccharides can subsequently be interpreted on a molecular level. The multivariate approach alleviates problems associated with peak picking of overlapping peaks, and it allows the deduction of the relative importance of each peak for sample discrimination. As a first proof of concept, we compare Populus tension wood to normal wood. All well established differences in cellulose, hemicellulose, and lignin compositions between these wood types were readily detected, confirming the reliability of the multivariate approach. In a second example, wood from transgenic Populus modified in their degree of pectin methylesterification was compared to that of wild-type trees. We show that differences in both lignin and polysaccharide composition that are difficult to detect with traditional spectral analysis and that could not be a priori predicted were revealed by the multivariate approach. 2D NMR of dissolved cell wall samples combined with multivariate analysis constitutes a novel approach in cell wall analysis and provides a new tool that will benefit cell wall research.</div>
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