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.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ; ; ; ; ;
Abstract / Bemerkung
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.
Erscheinungsjahr
Zeitschriftentitel
Journal of the science of food and agriculture
Band
94
Ausgabe
13
Seite(n)
2605-2612
ISSN
PUB-ID

Zitieren

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. doi:10.1002/jsfa.6566
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.

1 Zitation in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Metabolomics for organic food authentication: Results from a long-term field study in carrots.
Cubero-Leon E, De Rudder O, Maquet A., Food Chem 239(), 2018
PMID: 28873633

28 References

Daten bereitgestellt von Europe PubMed Central.

Wheat.
Shewry PR., J. Exp. Bot. 60(6), 2009
PMID: 19386614
The global market for organic food and drink
Sahota, 2011
Wheat quality in organic and conventional farming: results of a 21 year field experiment
Mader P, Hahn D, Dubois D, Gunst L, Alfoldi T, Bergmann H, Oehme M, Amado R, Schneider H, Graf U., J. Sci. Food Agric. 87(10), 2007
PMID: IND43975595
Search for diagnostic proteins to prove authenticity of organic wheat grains (Triticum aestivum L.).
Zorb C, Betsche T, Langenkamper G., J. Agric. Food Chem. 57(7), 2009
PMID: 19253955
Finding the "bio" in biobased products: electrophoretic identification of wheat proteins in processed products.
Robertson GH, Hurkman WJ, Cao TK, Tanaka CK, Orts WJ., J. Agric. Food Chem. 58(7), 2010
PMID: 20225876
Multielemental fingerprinting as a tool for authentication of organic wheat, barley, faba bean, and potato.
Laursen KH, Schjoerring JK, Olesen JE, Askegaard M, Halekoh U, Husted S., J. Agric. Food Chem. 59(9), 2011
PMID: 21417209
Metabolite profiling of wheat grains (Triticum aestivum L.) from organic and conventional agriculture.
Zorb C, Langenkamper G, Betsche T, Niehaus K, Barsch A., J. Agric. Food Chem. 54(21), 2006
PMID: 17032043
Levels of compounds and metabolites in wheat ears and grains in organic and conventional agriculture.
Zorb C, Niehaus K, Barsch A, Betsche T, Langenkamper G., J. Agric. Food Chem. 57(20), 2009
PMID: 20560625
Influence of the production method on phytochemical concentrations in whole wheat (Triticum aestivum L.): a comparative study.
Stracke BA, Eitel J, Watzl B, Mader P, Rufer CE., J. Agric. Food Chem. 57(21), 2009
PMID: 19817369
Quality assurance, inspection and certification of organic foods
Elzakker, 2007
Analytical authentication of organic products: an overview of markers
Capuano, J Sci Food Agric 93(), 2013
Food forensics: methods for determining the authenticity of foodstuffs
Primrose, Trends Food Sci Technol 21(), 2010
Metabolome variability in crop plant species--when, where, how much and so what?
Davies HV, Shepherd LV, Stewart D, Frank T, Rohlig RM, Engel KH., Regul. Toxicol. Pharmacol. 58(3 Suppl), 2010
PMID: 20627114
Soil fertility and biodiversity in organic farming.
Mader P, Fliessbach A, Dubois D, Gunst L, Fried P, Niggli U., Science 296(5573), 2002
PMID: 12040197
Yield and baking quality of winter wheat cultivars in different farming systems of the DOK long-term trial
Hildermann Isabell, Thommen Andreas, Dubois David, Boller Thomas, Wiemken Andres, Mader Paul., J. Sci. Food Agric. 89(14), 2009
PMID: IND44272288
MeltDB: a software platform for the analysis and integration of metabolomics experiment data.
Neuweger H, Albaum SP, Dondrup M, Persicke M, Watt T, Niehaus K, Stoye J, Goesmann A., Bioinformatics 24(23), 2008
PMID: 18765459
NetCDF: an interface for scientific data access
Rew, IEEE Comput Graph Appl 10(), 1990
GMD@CSB.DB: the Golm Metabolome Database.
Kopka J, Schauer N, Krueger S, Birkemeyer C, Usadel B, Bergmuller E, Dormann P, Weckwerth W, Gibon Y, Stitt M, Willmitzer L, Fernie AR, Steinhauser D., Bioinformatics 21(8), 2004
PMID: 15613389

R, 2011
Bonferroni and Sidak corrections for multiple comparisons
Abdi, 2007
myo-Inositol metabolism in plants
Loewus, Plant Sci 150(), 2000
myo-Inositol-1,2,3,4,5,6-hexakisphosphate.
Raboy V., Phytochemistry 64(6), 2003
PMID: 14568069
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

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 24425170
PubMed | Europe PMC

Suchen in

Google Scholar