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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Food Composition and Methods Development Laboratory » Research » Publications at this Location » Publication #357062
Title: Non-targeted metabolomic study of different American cranberry cultivars using UPLC-IM-HRMS

Author
item WANG, YIFEI - Ohio University
item VORSA, NICHOLI - Rutgers University
item HARRINGTON, PETER DE - Ohio University
item Chen, Pei

Submitted to: Journal of Agricultural and Food Chemistry
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/29/2018
Publication Date: 10/29/2018
Citation: Wang, Y., Vorsa, N., Harrington, P.B., Chen, P. 2018. Non-targeted metabolomic study of different American cranberry cultivars using UPLC-IM-HRMS. Journal of Agricultural and Food Chemistry. 66:12206-12216.

Interpretive Summary: The metabolomic profiles of American cranberry (Vaccinium macrocarpon) fruits and their variations among ten different cultivars were investigated by ultra-performance liquid chromatography ion-mobility high-resolution mass spectrometry. Over 80 metabolites, belonging to different phenolic compound groups, were putatively characterized. Based on their metabolite profiles, the ten cultivars can be calassified into four groups based on their metabolomic similarities, which were found to be closely relate to their genetic backgrounds. Anthocyanins exhibited most extensive variations among all cultivars, reflecting the effect of cranberry breeding selection on fruit color. Other phenolic compounds, sucha s flavonols, phenolic acid derivatives, and proanthocyanidins were also identified to have different levels in different cultivars. The non-targeted metabolomic comparison using multivariate analysis proved to be efficient and robust for determining specific metabolites with significance.

Technical Abstract: The metabolomic profiles of American cranberry (Vaccinium macrocarpon) fruits and their variations among ten different cultivars were investigated by ultra-performance liquid chromatography ion-mobility high-resolution mass spectrometry (UPLC-IM-HRMS). Over 80 metabolites, belonging to different phenolic compound groups, were putatively characterized. An HRMS data matrix consisting of 4778 compound ion features across the ten cultivars was built and analyzed by both principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA). The ten cultivars formed four clusters based on their metabolomic similarities, which were found to be closely relate to their genetic backgrounds. Anthocyanins exhibited most extensive variations among all cultivars, reflecting the effect of cranberry breeding selection on fruit color. Flavonols, phenolic acid derivatives, and proanthocyanidins were also identified to have different levels in different cultivars. The non-targeted metabolomic comparison using multivariate analysis proved to be efficient and robust for determining specific metabolites with significance.