Issue 5, 2017

Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China

Abstract

Metabolite profiling of isoflavones and anthocyanins in black soybean seeds (BSSs) collected from different geographical locations in Southwest China was performed. A more rapid and convenient method was established to identify and quantify twelve isoflavones and eight anthocyanins in BSSs by HPLC-MS analyses. The results indicated that β-glucoside (G-type) and malonylglucoside (M-type) derivatives, cyanidin-3-glucoside (CYL) and peonidin-3-glucoside (PEO) are the major compounds found predominantly in the isoflavones and anthocyanins of BSSs. Combined with geographical data and orthogonal partial least-squares discriminant analysis (OPLS-DA), it was demonstrated that higher isoflavone contents were found in the samples grown in the high-longitude areas of Guizhou and Chongqing, while higher anthocyanin contents were found in the samples grown in the high-latitude areas of Chongqing and Sichuan. Geographical location affected the accumulation of secondary metabolites involved in the phenylpropane pathway, especially in the trade-off/balance between isoflavone and anthocyanin biosynthesis in BSSs. Overall, a high-latitude environment has beneficial effects on the metabolism of the phenylpropane pathway, and a high-longitude environment can promote isoflavone biosynthesis, while a low-longitude environment is favorable for anthocyanin biosynthesis in BSSs.

Graphical abstract: Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China

Article information

Article type
Paper
Submitted
30 okt 2016
Accepted
26 des 2016
First published
26 des 2016

Anal. Methods, 2017,9, 792-802

Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China

H. Wu, J. Deng, C. Yang, J. Zhang, Q. Zhang, X. Wang, F. Yang, W. Yang and J. Liu, Anal. Methods, 2017, 9, 792 DOI: 10.1039/C6AY02970A

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