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Cited by 408

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

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

Open access
Meyer, Rhonda C., Steinfath, Matthias, Lisec, Jan, Becher, Martina, Witucka-Wall, Hanna, Törjék, Ottó, Fiehn, Oliver, Eckardt, Änne, Willmitzer, Lothar, Selbig, Joachim, Altmann, Thomas·2007·Proceedings of the National Academy of Sciences

Abstract

The decline of available fossil fuel reserves has triggered world-wide 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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Crossref · 10.1073/pnas.0609709104

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Metadata

Authors
Meyer, R. C., Steinfath, M., Lisec, J., Becher, M., Witucka-Wall, H., Törjék, O., Fiehn, O., Eckardt, Ä., Willmitzer, L., Selbig, J., & Altmann, T.
Venue
Proceedings of the National Academy of Sciences
Published
2007-03-13
Volume
104
Issue
11
Pages
4759-4764
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2168377231
Cited by
408
References
33
FWCI
57.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The metabolic signature related to high plant growth rate in Arabidopsis thaliana. https://app.cochat.ai/papers/10.1073/pnas.0609709104
The paper
Meyer, R. C., Steinfath, M., Lisec, J., Becher, M., Witucka-Wall, H., Törjék, O., Fiehn, O., Eckardt, Ä., Willmitzer, L., Selbig, J., & Altmann, T. (2007). The metabolic signature related to high plant growth rate in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0609709104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.