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  The metabolic signature related to high plant growth rate in Arabidopsis thaliana

Meyer, R. C., Steinfath, M., Lisec, J., Becher, M., Witucka-Wall, H., Torjek, O., et al. (2007). The metabolic signature related to high plant growth rate in Arabidopsis thaliana. Proceedings of the National Academy of Sciences of the United States of America, 104(11), 4759-4764. doi:10.1073/pnas.0609709104.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-28C5-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-28C6-F
Genre: Journal Article

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Meyer-2007-The metabolic signat.pdf (Any fulltext), 2MB
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 Creators:
Meyer, R. C.1, Author              
Steinfath, M.2, Author              
Lisec, J.3, Author              
Becher, M.4, Author              
Witucka-Wall, H.5, Author
Torjek, O.1, Author              
Fiehn, O.6, Author              
Eckardt, A.3, Author              
Willmitzer, L.3, Author              
Selbig, J.2, Author              
Altmann, T.1, Author              
Affiliations:
1Developmental Physiology and Genomics, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753313              
2BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              
3Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753340              
4Metal Homeostasis, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753309              
5External Organizations, ou_persistent22              
6Metabolomic Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753345              

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Free keywords: biomass canonical correlation metabolic profiling recombinant inbred line population biomarker trehalose 6-phosphate ascorbic-acid classification lines
 Abstract: The decline of available fossil fuel reserves has triggered worldwide efforts to develop alternative energy sources based on plant biomass. Detailed knowledge of the relations of metabolism and biomass accumulation can be expected to yield powerful novel tools to accelerate and enhance energy plant breeding programs. We used metabolic profiling in the model Arabidopsis to study the relation between biomass and metabolic composition using a recombinant inbred line (RIL) population. A highly significant canonical correlation (0.73) was observed, revealing a close link between biomass and a specific combination of metabolites. Dividing the entire data set into training and test sets resulted in a median correlation between predicted and true biomass of 0.58. The demonstrated high predictive power of metabolic composition for biomass features this composite measure as an excellent biomarker and opens new opportunities to enhance plant breeding specifically in the context of renewable resources.

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Language(s): eng - English
 Dates: 2007-03-162007
 Publication Status: Published in print
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 Table of Contents: -
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 Identifiers: ISI: ISI:000244972700091
DOI: 10.1073/pnas.0609709104
ISSN: 0027-8424 (Print) 0027-8424 (Linking)
URI: ://000244972700091 http://www.pnas.org/content/104/11/4759.full.pdf
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Title: Proceedings of the National Academy of Sciences of the United States of America
Source Genre: Journal
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Pages: - Volume / Issue: 104 (11) Sequence Number: - Start / End Page: 4759 - 4764 Identifier: -