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

被引：49
作者：
Beckmann, Manfred [1 ]
Enot, David P. [1 ]
Overy, David P. [1 ]
Draper, John [1 ]
机构：
[1] Aberystwyth Univ, Inst Biol Sci, Aberystwyth SY23 3DA, Dyfed, Wales
来源：
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY | 2007年 / 55卷 / 09期
关键词：
MS-based metabolomics; metabolite fingerprint modeling and data interpretation; crop plant trait analysis; food raw material composition database strategy;
D O I：
10.1021/jf0701842
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
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.
引用
收藏
页码：3444 / 3451
页数：8
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