Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry

Citation
U. Roessner et al., Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry, PLANT J, 23(1), 2000, pp. 131-142
Citations number
34
Categorie Soggetti
Plant Sciences","Animal & Plant Sciences
Journal title
PLANT JOURNAL
ISSN journal
09607412 → ACNP
Volume
23
Issue
1
Year of publication
2000
Pages
131 - 142
Database
ISI
SICI code
0960-7412(200007)23:1<131:SAOMIP>2.0.ZU;2-D
Abstract
A new method is presented in which gas chromatography coupled to mass spect rometry (GC-MS) allows the quantitative and qualitative detection of more t han 150 compounds within a potato tuber, in a highly sensitive and specific manner. In contrast to other methods developed for metabolite analysis in plant systems, this method represents an unbiased and open approach that al lows the detection of unexpected changes in metabolite levels. Although the method represents a compromise for a wide range of metabolites in terms of extraction, chemical modification and GC-MS analysis, for 25 metabolites a nalysed in detail the recoveries were found to be within the generally acce pted range of 70-140%. Further, the reproducibility of the method was high: the error occurring in the analysis procedures was found to be less than 6 % for 30 out of 33 compounds tested. Biological variability exceeded the sy stematic error of the analysis by a factor of up to 10. The method is also suited for upscaling, potentially allowing the simultaneous analysis of a l arge number of samples. As a first example this method has been applied to soil- and in vitro-grown tubers. Due to the simultaneous analysis of a wide range of metabolites it was immediately apparent that these systems differ significantly in their metabolism. Furthermore, the parallel insight into many pathways allows some conclusions to be drawn about the underlying phys iological differences between both tuber systems. As a second example, tran sgenic lines modified in sucrose catabolism or starch synthesis were analys ed. This example illustrates the power of an unbiased approach to detecting unexpected changes in transgenic lines.