Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivars

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dc.contributor.author Beckmann, Manfred
dc.contributor.author Enot, David P.
dc.contributor.author Overy, David P.
dc.contributor.author Draper, John
dc.date.accessioned 2008-12-11T11:40:53Z
dc.date.available 2008-12-11T11:40:53Z
dc.date.issued 2007-04-07
dc.identifier.citation Beckmann , M , Enot , D P , Overy , D P & Draper , J 2007 , ' Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivars ' Journal of Agricultural and Food Chemistry , vol 55 , no. 9 , pp. 3444-3451 . en
dc.identifier.issn 1520-5118
dc.identifier.other PURE: 92079
dc.identifier.other dspace: 2160/1525
dc.identifier.uri http://hdl.handle.net/2160/1525
dc.identifier.uri http://pubs3.acs.org/acs/journals/doilookup?in_doi=10.1021/jf0701842 en
dc.description Manfred Beckmann, David P. Enot, David P. Overy, and John Draper (2007). Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivars. Journal of Agricultural and Food Chemistry, 55 (9) pp.3444-3451 RAE2008 en
dc.description.abstract Understanding attributes of crop varieties and food raw materials underlying desirable characteristics is a significant challenge. Metabolomics technology based on flow infusion electrospray ionization mass spectrometry (FIE-MS) has been used to investigate the chemical composition of potato cultivars associated with quality traits in harvested tubers. Through the combination of metabolite fingerprinting with random forest data modeling, a subset of metabolome signals explanatory of compositional differences between individual genotypes were ranked for importance. Interpretative analysis of highlighted signals based on ranking behavior, intensity correlations, and mathematical relationships of ion masses correctly predicted metabolites associated with flavor and pigmentation traits in potato tubers. GC-MS profiling was used to further validate proposed compositional differences. The potential for the development of a database strategy for large scale, long-term projects requiring comparison of chemical composition in plant breeding, mutant population analysis in functional genomics experiments, or food raw material analysis is described. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof Journal of Agricultural and Food Chemistry en
dc.title Representation, comparison, and interpretation of metabolome fingerprint data for total composition analysis and quality trait investigation in potato cultivars en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1021/jf0701842
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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