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 accessAbstract
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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Self-citationA Statistical View of Some Chemometrics Regression Tools
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Self-citationIntegration of Plant Responses to Environmentally Activated Phytohormonal Signals
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Self-citationTrehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses
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Self-citationControl of plant development and gene expression by sugar signaling
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Cited by
Metabolomics for Functional Genomics, Systems Biology, and Biotechnology
Saito, K., & Matsuda, F. (2010) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.043008.092035 · Cited by 744
Quality control for plant metabolomics: reporting MSI‐compliant studies
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Self-citationSugar signals and molecular networks controlling plant growth
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Starch as a major integrator in the regulation of plant growth
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Self-citationMetabolomics-assisted breeding: a viable option for crop improvement?
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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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