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. 2020 Jul 8;21:468. doi: 10.1186/s12864-020-06795-5

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Panel a: Hierarchical cluster analysis (HCA) of all samples sequenced by RNA-seq. Heatmaps reporting clustering of all samples were generated upon rlog-transformation of DESeq2-normalized expression data. Color key scheme: X axis reports euclidean distances among samples, Y axis reports the number of times a color/value is represented in the graph. Panel b: Principal Component Analysis (PCA) of the samples sequenced by RNA-seq. X-axis represents first component, Y-axis the second component. Dots with the same color indicate same sample, different replicates. Blue ovals enclose NGC samples, red ovals enclose grafted samples. Sample names: M = Mgt 101–14; P = 1103 Paulsen; NGC = not grafted control; Replicate A, B, C. T1 = veraison; T2 = maturity. (PDF 264 kb)