Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems

U. Roessner, A. Luedemann, D. Brust, O. Fiehn, T. Linke, L. Willmitzer, A. R. Fernie

Research output: Contribution to journalArticle

744 Citations (Scopus)

Abstract

Metabolic profiling using gas chromatography-mass spectrometry technologies is a technique whose potential in the field of functional genomics is largely untapped. To demonstrate the general usefulness of this technique, we applied to diverse plant genotypes a recently developed profiling protocol that allows detection of a wide range of hydrophilic metabolites within a single chromatographic run. For this purpose, we chose four independent potato genotypes characterized by modifications in sucrose metabolism. Using data-mining tools, including hierarchical cluster analysis and principle component analysis, we were able to assign clusters to the individual plant systems and to determine relative distances between these clusters. Extraction analysis allowed identification of the most important components of these clusters. Furthermore, correlation analysis revealed close linkages between a broad spectrum of metabolites. In a second, complementary approach, we subjected wild-type potato tissue to environmental manipulations. The metabolic profiles from these experiments were compared with the data sets obtained for the transgenic systems, thus illustrating the potential of metabolic profiling in assessing how a genetic modification can be phenocopied by environmental conditions. In summary, these data demonstrate the use of metabolic profiling in conjunction with datamining tools as a technique for the comprehensive characterization of a plant genotype.

Original languageEnglish (US)
Pages (from-to)11-29
Number of pages19
JournalPlant Cell
Volume13
Issue number1
DOIs
StatePublished - 2001
Externally publishedYes

Fingerprint

metabolomics
Metabolites
Genotype
Solanum tuberosum
phenotype
genotype
Cluster analysis
Metabolism
potatoes
Gas chromatography
metabolites
Mass spectrometry
Data mining
Sucrose
Data Mining
Metabolome
Tissue
Genomics
genetic engineering
Gas Chromatography-Mass Spectrometry

ASJC Scopus subject areas

  • Plant Science
  • Biochemistry, Genetics and Molecular Biology(all)
  • Biochemistry
  • Cell Biology

Cite this

Roessner, U., Luedemann, A., Brust, D., Fiehn, O., Linke, T., Willmitzer, L., & Fernie, A. R. (2001). Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems. Plant Cell, 13(1), 11-29. https://doi.org/10.1105/tpc.13.1.11

Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems. / Roessner, U.; Luedemann, A.; Brust, D.; Fiehn, O.; Linke, T.; Willmitzer, L.; Fernie, A. R.

In: Plant Cell, Vol. 13, No. 1, 2001, p. 11-29.

Research output: Contribution to journalArticle

Roessner, U, Luedemann, A, Brust, D, Fiehn, O, Linke, T, Willmitzer, L & Fernie, AR 2001, 'Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems', Plant Cell, vol. 13, no. 1, pp. 11-29. https://doi.org/10.1105/tpc.13.1.11
Roessner, U. ; Luedemann, A. ; Brust, D. ; Fiehn, O. ; Linke, T. ; Willmitzer, L. ; Fernie, A. R. / Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems. In: Plant Cell. 2001 ; Vol. 13, No. 1. pp. 11-29.
@article{8737b6f23bde40e2ac71ed6ec9e60cb2,
title = "Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems",
abstract = "Metabolic profiling using gas chromatography-mass spectrometry technologies is a technique whose potential in the field of functional genomics is largely untapped. To demonstrate the general usefulness of this technique, we applied to diverse plant genotypes a recently developed profiling protocol that allows detection of a wide range of hydrophilic metabolites within a single chromatographic run. For this purpose, we chose four independent potato genotypes characterized by modifications in sucrose metabolism. Using data-mining tools, including hierarchical cluster analysis and principle component analysis, we were able to assign clusters to the individual plant systems and to determine relative distances between these clusters. Extraction analysis allowed identification of the most important components of these clusters. Furthermore, correlation analysis revealed close linkages between a broad spectrum of metabolites. In a second, complementary approach, we subjected wild-type potato tissue to environmental manipulations. The metabolic profiles from these experiments were compared with the data sets obtained for the transgenic systems, thus illustrating the potential of metabolic profiling in assessing how a genetic modification can be phenocopied by environmental conditions. In summary, these data demonstrate the use of metabolic profiling in conjunction with datamining tools as a technique for the comprehensive characterization of a plant genotype.",
author = "U. Roessner and A. Luedemann and D. Brust and O. Fiehn and T. Linke and L. Willmitzer and Fernie, {A. R.}",
year = "2001",
doi = "10.1105/tpc.13.1.11",
language = "English (US)",
volume = "13",
pages = "11--29",
journal = "Plant Cell",
issn = "1040-4651",
publisher = "American Society of Plant Biologists",
number = "1",

}

TY - JOUR

T1 - Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems

AU - Roessner, U.

AU - Luedemann, A.

AU - Brust, D.

AU - Fiehn, O.

AU - Linke, T.

AU - Willmitzer, L.

AU - Fernie, A. R.

PY - 2001

Y1 - 2001

N2 - Metabolic profiling using gas chromatography-mass spectrometry technologies is a technique whose potential in the field of functional genomics is largely untapped. To demonstrate the general usefulness of this technique, we applied to diverse plant genotypes a recently developed profiling protocol that allows detection of a wide range of hydrophilic metabolites within a single chromatographic run. For this purpose, we chose four independent potato genotypes characterized by modifications in sucrose metabolism. Using data-mining tools, including hierarchical cluster analysis and principle component analysis, we were able to assign clusters to the individual plant systems and to determine relative distances between these clusters. Extraction analysis allowed identification of the most important components of these clusters. Furthermore, correlation analysis revealed close linkages between a broad spectrum of metabolites. In a second, complementary approach, we subjected wild-type potato tissue to environmental manipulations. The metabolic profiles from these experiments were compared with the data sets obtained for the transgenic systems, thus illustrating the potential of metabolic profiling in assessing how a genetic modification can be phenocopied by environmental conditions. In summary, these data demonstrate the use of metabolic profiling in conjunction with datamining tools as a technique for the comprehensive characterization of a plant genotype.

AB - Metabolic profiling using gas chromatography-mass spectrometry technologies is a technique whose potential in the field of functional genomics is largely untapped. To demonstrate the general usefulness of this technique, we applied to diverse plant genotypes a recently developed profiling protocol that allows detection of a wide range of hydrophilic metabolites within a single chromatographic run. For this purpose, we chose four independent potato genotypes characterized by modifications in sucrose metabolism. Using data-mining tools, including hierarchical cluster analysis and principle component analysis, we were able to assign clusters to the individual plant systems and to determine relative distances between these clusters. Extraction analysis allowed identification of the most important components of these clusters. Furthermore, correlation analysis revealed close linkages between a broad spectrum of metabolites. In a second, complementary approach, we subjected wild-type potato tissue to environmental manipulations. The metabolic profiles from these experiments were compared with the data sets obtained for the transgenic systems, thus illustrating the potential of metabolic profiling in assessing how a genetic modification can be phenocopied by environmental conditions. In summary, these data demonstrate the use of metabolic profiling in conjunction with datamining tools as a technique for the comprehensive characterization of a plant genotype.

UR - http://www.scopus.com/inward/record.url?scp=0035105106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035105106&partnerID=8YFLogxK

U2 - 10.1105/tpc.13.1.11

DO - 10.1105/tpc.13.1.11

M3 - Article

VL - 13

SP - 11

EP - 29

JO - Plant Cell

JF - Plant Cell

SN - 1040-4651

IS - 1

ER -