The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Differential metabolic networks unravel the effects of silent plant phenotypes
Open accessAbstract
Current efforts aim to functionally characterize each gene in model plants. Frequently, however, no morphological or biochemical phenotype can be ascribed for antisense or knock-out plant genotypes. This is especially the case when gene suppression or knockout is targeted to isoenzymes or gene families. Consequently, pleiotropic effects and gene redundancy are responsible for phenotype resistance. Here, techniques are presented to detect unexpected pleiotropic changes in such instances despite very subtle changes in overall metabolism. The method consists of the relative quantitation of >1,000 compounds by GC/time-of-flight MS, followed by classical statistics and multivariate clustering. Complementary to these tools, metabolic networks are constructed from pair-wise analysis of linear metabolic correlations. The topology of such networks reflects the underlying regulatory pathway structure. A differential analysis of network connectivity was applied for a silent potato plant line suppressed in expression of sucrose synthase isoform II. Metabolic alterations could be assigned to carbohydrate and amino acid metabolism even if no difference in average metabolite levels was found.
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Self-citationIntegrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network
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Cited by
GMD@CSB.DB: the Golm Metabolome Database
Kopka, J., Schauer, N., Krueger, S., Birkemeyer, C., Usadel, B., Bergmuller, E., Dormann, P., Weckwerth, W., Gibon, Y., Stitt, M., et al. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti236 · Cited by 1,382
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Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies
Szymańska, E., Saccenti, E., Smilde, A. K., & Westerhuis, J. A. (2012) · Metabolomics · doi:10.1007/s11306-011-0330-3 · Cited by 908
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
Characterization of the ABA‐regulated global responses to dehydration in Arabidopsis by metabolomics
Urano, K., Maruyama, K., Ogata, Y., Morishita, Y., Takeda, M., Sakurai, N., Suzuki, H., Saito, K., Shibata, D., Kobayashi, M., et al. (2009) · The Plant Journal · doi:10.1111/j.1365-313x.2008.03748.x · Cited by 591
Metadata
- Authors
- Weckwerth, W., Loureiro, M. E., Wenzel, K., & Fiehn, O.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-05-10
- Volume
- 101
- Issue
- 20
- Pages
- 7809-7814
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2072040767
- Cited by
- 400
- References
- 35
- FWCI
- 44.99
- Type
- journal article
- Language
- en
- Open access
- green
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- Weckwerth, W., Loureiro, M. E., Wenzel, K., & Fiehn, O. (2004). Differential metabolic networks unravel the effects of silent plant phenotypes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0303415101
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