The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Metabolomics—the link between genotypes and phenotypes
Abstract
Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. In parallel to the terms 'transcriptome' and proteome', the set of metabolites synthesized by a biological system constitute its 'metabolome'. Yet, unlike other functional genomics approaches, the unbiased simultaneous identification and quantification of plant metabolomes has been largely neglected. Until recently, most analyses were restricted to profiling selected classes of compounds, or to fingerprinting metabolic changes without sufficient analytical resolution to determine metabolite levels and identities individually. As a prerequisite for metabolomic analysis, careful consideration of the methods employed for tissue extraction, sample preparation, data acquisition, and data mining must be taken. In this review, the differences among metabolite target analysis, metabolite profiling, and metabolic fingerprinting are clarified, and terms are defined. Current approaches are examined, and potential applications are summarized with a special emphasis on data mining and mathematical modelling of metabolism.
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“Up to 200,000 different metabolites are estimated to occur in the plant kingdom, and combinations of several hundreds of secondary metabolites generally characterize each edible plant (6,64,65).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [64]
Citations
Cites
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
The Large-Scale Organization of Metabolic Networks
Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35036627 · Cited by 4,972
Metabolite profiling for plant functional genomics
Fiehn, O., Kopka, J., Dörmann, P., Altmann, T., Trethewey, R. N., & Willmitzer, L. (2000) · Nature Biotechnology · doi:10.1038/81137 · Cited by 2,129
Self-citationHeinrich, R., & Rapoport, T. A. (1974) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1974.tb03318.x · Cited by 1,400
Systematic functional analysis of the yeast genome
Oliver, S. G. (1998) · Trends in biotechnology · doi:10.1016/s0167-7799(98)01214-1 · Cited by 1,374
Simultaneous analysis of metabolites in potato tuber by gas chromatography–mass spectrometry
Roessner, U., Wagner, C., Kopka, J., Trethewey, R. N., & Willmitzer, L. (2000) · The Plant Journal · doi:10.1046/j.1365-313x.2000.00774.x · Cited by 1,154
A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., BERDEN, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., et al. (2001) · Nature Biotechnology · doi:10.1038/83496 · Cited by 1,021
Research works printed but not linked: 10
- Castioni, P., Christen, P. and Veuthey J.L. 1995. Supercritical fluid extraction of compounds from plant origin. Analusis 23: 95–106.
- Fell, D.A. 1997. Understanding the control of metabolism. Snell (ed.) Portland Press, London. Portland Press Frontiers in metabolism 2: 301 pp.
- Kacser, H. and Burns, J.A.. 1973. The control of flux. Symp. Soc. Exp. Biol. 27: 65–105. Reprinted in 1995 in Biochem. Soc. Trans. 23: 341-366.
- Namiesnik, J. and Gorecki, T. 2000. Sample preparation for chromatographic analysis of plant material. J. Plan. Chromatogr. 13: 404–413.
- Ning, C., Kuhara, T., Inoue, Y., Zhang, C.H., Matsumoto, M., Shinka, T., Furumoto, T., Yokota, K. and Matsumoto. I. 1996. Gas chromatographic mass spectrometric metabolic profiling of patients with fatal infantile mitochondrial myopathy with de Toni-Fanconi-Debre syndrome. Acta Paed. Japon. 38: 661–666.
- Park, S.M., Klapa, M.I., Sinskey, A.J. and Stephanopoulos, G. 1999. Metabolite and isotopomer balancing in the analysis of metabolic cycles. II. Applications. Biotechnol. Bioeng. 62: 392–401. · DOI
- Schuster, S. 1999. Studies on the stoichiometric structure of enzymatic reaction systems. Theory Biosci. 118: 125–139.
- Wiechert, W. and de Graaf, A.A. 1997a. Bidirectional reaction steps in metabolic networks. I. Modeling and simulation of carbon isotope labelling experiments. Biotechnol. Bioeng. 55: 112–117.
- Wiechert, W., Möllney, M., Isermann, N., Wurzel, M. and de Graaf, A.A. 1999. Bidirectional reaction steps in metabolic networks. III. Explicit solution and analysis of isotopomer systems. Biotechnol. Bioeng. 66: 69–85. · DOI
- World Health Organization. 2000. Safety aspects of genetically modified foods of plant origins. In: Report of a joint FAO/WHO expert consultation on foods derived from biotechnology, held in Geneva, Switzerland, 29 May-2 June 2000. World Health Organization, Geneva, pp. 1–35.
Cited by
Sorted by citations
The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
Biosynthesis of plant pigments: anthocyanins, betalains and carotenoids
Tanaka, Y., Sasaki, N., & Ohmiya, A. (2008) · The Plant Journal · doi:10.1111/j.1365-313x.2008.03447.x · Cited by 2,434
van den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-142 · Cited by 2,450
Assessment of PLSDA Cross Validation
Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., van Duijnhoven, J. P. M., & van Dorsten, F. A. (2008) · Metabolomics · doi:10.1007/s11306-007-0099-6 · Cited by 1,471
Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum
Gieger, C., Geistlinger, L., Altmaier, E., Hrabé de Angelis, M., Kronenberg, F., Meitinger, T., Mewes, H.-W., Wichmann, H.-E., Weinberger, K. M., Adamski, J., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000282 · Cited by 737
Metadata
- Authors
- Fiehn, O.
- Affiliations
- Max Planck Institute of Molecular Plant Physiology (DE)
- Corresponding author
- Fiehn, Oliver
- ORCID
- Fiehn, Oliver
- Venue
- Plant Molecular Biology
- Published
- 2002-01
- Volume
- 48
- Issue
- 1-2
- Pages
- 155-171
- ISSN
- 0167-4412 (ISSN-L)
- 1573-5028
- OpenAlex
- W4294326454
- Cited by
- 3,445
- References
- 110
- Citations by year
- 2026: 153 · 2025: 135 · 2024: 174 · 2023: 151 · 2022: 194 · 2021: 181 · 2020: 201 · 2019: 191 · 2018: 176 · 2017: 178 · 2016: 195 · 2015: 157 · 2014: 157 · 2013: 173 · 2012: 131
- FWCI
- 23.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Plant Molecular Biology (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
- Keywords
- plant metabolomics, metabolome, genotype-phenotype correlation, metabolite profiling, metabolic fingerprinting, plant tissue extraction, sample preparation, data mining, plant metabolism
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