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Metabolic variability of seed material from diverse sugar beet (Beta vulgaris L.) genotypes and of different germination capacities

Published online by Cambridge University Press:  22 December 2015

Manuela Peukert ,
Anke Dittbrenner ,
Juliane Meinhard ,
Uwe Fischer  and
Hans-Peter Mock
Manuela Peukert
Affiliation:
Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstrasse 3, 06466Gatersleben, Germany
Anke Dittbrenner
Affiliation:
Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstrasse 3, 06466Gatersleben, Germany
Juliane Meinhard
Affiliation:
KWS SAAT SE, Grimsehlstr. 31, 37555Einbeck, Germany
Uwe Fischer
Affiliation:
KWS SAAT SE, Grimsehlstr. 31, 37555Einbeck, Germany
Hans-Peter Mock*
Affiliation:
Leibniz Institute of Plant Genetics and Crop Plant Research, Corrensstrasse 3, 06466Gatersleben, Germany
*
*Correspondence E-mail: mock@ipk-gatersleben.de
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Abstract

New trends in crop breeding include analytical approaches to identify metabolic fingerprints that can be used for associations to the genetic background. The biochemical phenotype, as a result of plant endogenous factors and interaction with the environment, has the potential to increase the accuracy of forecasting regarding agronomical quality factors. In this study a metabolite profile analysis by gas chromatography–mass spectrometry (GC–MS) was conducted on sets of seed material from sugar beet. One set represented high-performing varieties with a close genetic background and with a similar quality in terms of germination capacity. The second set contained seed lots from different genotypes comprising different germination capacities. By multivariate statistical analyses high variance in both sample sets was revealed. These data were further allocated to corresponding metabolite classes. It could be shown that an untargeted GC–MS approach has the power to resolve differences in the molecular phenotypes of related offspring lines. Metabolic profiles were found to correlate more to genotypic differences than to differences in the germination capacity.

Keywords

Beta vulgaris L.GCMSgenotypesmetabolite profilingsugar beet fruit
Type
Research Papers
Information
Seed Science Research , Volume 26 , Issue 1 , March 2016 , pp. 57 - 66
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Copyright
Copyright © Cambridge University Press 2015 

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Footnotes

†

Present address: University of Cologne, Cologne Biocentre, Zuelpicherstr. 47b, 50 674 Cologne, Germany.

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