Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems

Bonte A, Neuweger H, Goesmann A, Thonar C, Mäder P, Langenkämper G, Niehaus K (2014)
Journal of the science of food and agriculture 94(13): 2605-2612.

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BACKGROUND: Identification of biomarkers capable of distinguishing organic and conventional products would be highly welcome to improve the strength of food quality assurance. Metabolite profiling was used for biomarker search in organic and conventional wheat grain (Triticum aestivum L.) of 11 different old and new bread wheat cultivars grown in the DOK system comparison trial. Metabolites were extracted using methanol and analysed by gas chromatography-mass spectrometry. RESULTS: Altogether 48 metabolites and 245 non-identified metabolites (TAGs) were detected in the cultivar Runal. Principal component analysis showed a sample clustering according to farming systems and significant differences in peak areas between the farming systems for 10 Runal metabolites. Results obtained from all 11 cultivars indicated a greater influence of the cultivar than the farming system on metabolite concentrations. Nevertheless, a t-test on data of all cultivars still detected 5 metabolites and 11 TAGs with significant differences between the farming systems. CONCLUSION: Based on individual cultivars, metabolite profiling showed promising results for the categorization of organic and conventional wheat. Further investigations are necessary with wheat from more growing seasons and locations before definite conclusions can be drawn concerning the feasibility to evolve a combined set of biomarkers for organically grown wheat using metabolite profiles. © 2014 Society of Chemical Industry.
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Bonte A, Neuweger H, Goesmann A, et al. Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the science of food and agriculture. 2014;94(13):2605-2612.
Bonte, A., Neuweger, H., Goesmann, A., Thonar, C., Mäder, P., Langenkämper, G., & Niehaus, K. (2014). Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the science of food and agriculture, 94(13), 2605-2612.
Bonte, A., Neuweger, H., Goesmann, A., Thonar, C., Mäder, P., Langenkämper, G., and Niehaus, K. (2014). Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the science of food and agriculture 94, 2605-2612.
Bonte, A., et al., 2014. Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the science of food and agriculture, 94(13), p 2605-2612.
A. Bonte, et al., “Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems”, Journal of the science of food and agriculture, vol. 94, 2014, pp. 2605-2612.
Bonte, A., Neuweger, H., Goesmann, A., Thonar, C., Mäder, P., Langenkämper, G., Niehaus, K.: Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems. Journal of the science of food and agriculture. 94, 2605-2612 (2014).
Bonte, Anja, Neuweger, Heiko, Goesmann, Alexander, Thonar, Cécile, Mäder, Paul, Langenkämper, Georg, and Niehaus, Karsten. “Metabolite profiling on wheat grain to enable a distinction of samples from organic and conventional farming systems”. Journal of the science of food and agriculture 94.13 (2014): 2605-2612.
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28 References

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Nutritional quality of organic and conventional wheat
Langenkämper, J Appl Bot Food Qual 80(), 2006
Nutrient use efficiency and arbuscular mycorrhizal root colonisation of winter wheat cultivars in different farming systems of the DOK long-term trial
Hildermann Isabell, Messmer Monika, Dubois David, Boller Thomas, Wiemken Andres, Mader Paul., J. Sci. Food Agric. 90(12), 2010
PMID: IND44413345
Soil phosphorus dynamics in cropping systems managed according to conventional and biological agricultural methods.
Oberson A, Fardeau JC, Besson JM, Sticher H., Biol. Fertil. Soils 16(2), 1993
PMID: IND93053451

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