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The potential of metabolite profiling as a selection tool for genotype discrimination in Populus.

Identifieur interne : 003F37 ( Main/Exploration ); précédent : 003F36; suivant : 003F38

The potential of metabolite profiling as a selection tool for genotype discrimination in Populus.

Auteurs : Andrew R. Robinson [Canada] ; Rana Gheneim ; Robert A. Kozak ; Dave D. Ellis ; Shawn D. Mansfield

Source :

RBID : pubmed:16143717

Descripteurs français

English descriptors

Abstract

Differences between wild-type Populus tremulaxalba and two transgenic lines with modified lignin monomer composition, were interrogated using metabolic profiling. Analysis of metabolite abundance data by GC-MS, coupled with principal components analysis (PCA), successfully differentiated between lines that had distinct phenotypes, whether samples were taken from the cambial zone or non-lignifying suspension tissue cultures. Interestingly, the GC-MS analysis detected relatively few phenolic metabolites in cambial extracts, although a single metabolite associated with the differentiation between lines was directly related to the phenylpropanoid pathway or other down-stream aspects of lignin biosynthesis. In fact, carbohydrates, which have only an indirect relationship with the modified lignin monomer composition, featured strongly in the line-differentiating aspects of the statistical analysis. Traditional HPLC analysis was employed to verify the GC-MS data. These findings demonstrate that metabolic traits can be dissected reliably and accurately by metabolomic analyses, enabling the discrimination of individual genotypes of the same tree species that exhibit marked differences in industrially relevant wood traits. Furthermore, this validates the potential of using metabolite profiling techniques for marker generation in the context of plant/tree breeding for industrial applications.

DOI: 10.1093/jxb/eri273
PubMed: 16143717


Affiliations:


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Le document en format XML

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<nlm:affiliation>Department of Wood Science, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.</nlm:affiliation>
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<term>Chromatography, High Pressure Liquid (MeSH)</term>
<term>Gas Chromatography-Mass Spectrometry (MeSH)</term>
<term>Gene Expression Profiling (MeSH)</term>
<term>Gene Expression Regulation, Plant (genetics)</term>
<term>Genotype (MeSH)</term>
<term>Lignin (analysis)</term>
<term>Lignin (biosynthesis)</term>
<term>Lignin (chemistry)</term>
<term>Phenotype (MeSH)</term>
<term>Plants, Genetically Modified (MeSH)</term>
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<term>Populus (genetics)</term>
<term>Populus (metabolism)</term>
<term>Principal Component Analysis (MeSH)</term>
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<term>Analyse de profil d'expression de gènes (MeSH)</term>
<term>Analyse en composantes principales (MeSH)</term>
<term>Chromatographie en phase liquide à haute performance (MeSH)</term>
<term>Chromatographie gazeuse-spectrométrie de masse (MeSH)</term>
<term>Génotype (MeSH)</term>
<term>Lignine (analyse)</term>
<term>Lignine (biosynthèse)</term>
<term>Lignine (composition chimique)</term>
<term>Phénotype (MeSH)</term>
<term>Populus (classification)</term>
<term>Populus (génétique)</term>
<term>Populus (métabolisme)</term>
<term>Régulation de l'expression des gènes végétaux (génétique)</term>
<term>Végétaux génétiquement modifiés (MeSH)</term>
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<term>Lignin</term>
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<term>Lignin</term>
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<term>Lignine</term>
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<term>Lignine</term>
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<term>Populus</term>
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<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr">
<term>Lignine</term>
<term>Populus</term>
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<term>Populus</term>
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<div type="abstract" xml:lang="en">Differences between wild-type Populus tremulaxalba and two transgenic lines with modified lignin monomer composition, were interrogated using metabolic profiling. Analysis of metabolite abundance data by GC-MS, coupled with principal components analysis (PCA), successfully differentiated between lines that had distinct phenotypes, whether samples were taken from the cambial zone or non-lignifying suspension tissue cultures. Interestingly, the GC-MS analysis detected relatively few phenolic metabolites in cambial extracts, although a single metabolite associated with the differentiation between lines was directly related to the phenylpropanoid pathway or other down-stream aspects of lignin biosynthesis. In fact, carbohydrates, which have only an indirect relationship with the modified lignin monomer composition, featured strongly in the line-differentiating aspects of the statistical analysis. Traditional HPLC analysis was employed to verify the GC-MS data. These findings demonstrate that metabolic traits can be dissected reliably and accurately by metabolomic analyses, enabling the discrimination of individual genotypes of the same tree species that exhibit marked differences in industrially relevant wood traits. Furthermore, this validates the potential of using metabolite profiling techniques for marker generation in the context of plant/tree breeding for industrial applications.</div>
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