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Fig. 6 | BMC Plant Biology

Fig. 6

From: Comparative physiological, metabolomic, and transcriptomic analyses reveal developmental stage-dependent effects of cluster bagging on phenolic metabolism in Cabernet Sauvignon grape berries

Fig. 6

Identification of potential phenolic biomarkers via partial least squares-discriminant analysis (PLS-DA). Score scatter plot of the two-component PLS-DA model based on the concentration of detected phenolic compounds during the 2012 (a) and 2013 (b) seasons showing the discrimination between the control and cluster bagging-treated groups. Loading scatter plot of PLS-DA showing the important phenolic compounds (|Pcorr| value ≥0.8 and VIP value ≥1) during the 2012 (c) and 2013 (d) seasons that contributed significantly to the distinction between the control and cluster bagging-treated groups. M15, dephinidin-3-O-glucoside; M17, petunidin-3-O-glucoside; M18, peonidin-3-O-glucoside; M19, malvidin-3-O-glucoside; M20, dephinidin-3-O-(6-O-acetyl)-glucoside; M21, cyanidin-3-O-(6-O-acetyl)-glucoside; M22, petunidin-3-O-(6-O-acetyl)-glucoside; M23, dephinidin-3-O-(6-O-coumaryl)-glucoside; M24, peonidin-3-O-(6-O-acetyl)-glucoside; M25, malvidin-3-O-(6-O-acetyl)-glucoside; M26, petunidin-3-O-(6-O-caffeoyl)-glucoside; M32, peonidin-3-O-(trans-6-O-coumaryl)-glucoside; M33, malvidin-3-O-(trans-6-O-coumaryl)-glucoside; M36, myricetin-3-O-glucoside; M39, rutin; M41, laricitrin-3-O-glucoside

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