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. 2017 Jun 26;8:1074. doi: 10.3389/fpls.2017.01074

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Copyright © 2017 Paaso, Keski-Saari, Keinänen, Karvinen, Silfver, Rousi and Mikola.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Principal component analysis (PCA) graphs of the secondary metabolite data in (A) senescent leaves and (B) decomposed litter and the loadings of the compounds responsible for the variation on the PC axes as p(corr) values in (C) senescent leaves and (D) decomposed litter. In (A,B), the 19 genotypes are shown as mean axes scores with the vertical and horizontal error bars depicting ±1 SE (n = 4–6). CouQAs, Coumaroylquinic acids; F, Flavonoid aglycone; FG, Flavonol glycosides; Kgal, Kaempferol 3-galactoside; Krh, Kaempferol 3-rhamnoside; Mgal, Myricetin 3-galactoside; Mglc, Myricetin 3-glucoside; Qap, Quercetin 3-arabinopyranoside; Qgal, Quercetin 3-galactoside; Qrh, Quercetin 3-rhamnoside; T, Triterpenoid.