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. 2022 Oct 13;13:1016511. doi: 10.3389/fpls.2022.1016511

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Copyright © 2022 Liu, Tian, Liu, Zhuo, Shi, Xu, Xu, Liu, Ye, Sun and Liao

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) and the copyright owner(s) 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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Metabolomic analysis of fresh tea leaves from pruned plants. (A) Cluster analysis of tea leaf samples. (B) Heatmap analysis of differential metabolites. Heat map values are normalized for the relative content of differential metabolites, and the average is calculated for each of the two pruning types of tea plant. (C) Class analysis of differential metabolites. (D) KEGG enrichment analyses of differential metabolites. (E) Random forest analysis of characteristic differential metabolites in fresh tea leaves. MDG, mean decrease Gini, MDA, mean decrease accuracy.