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. 2018 Feb 21;13(2):e0192682. doi: 10.1371/journal.pone.0192682

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© 2018 Samsatly et al

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 3 — Principal component analysis (PCA) loading biplots for the effect of 11 antioxidant genes relative transcript abundance on control, infected and surrounding tissues in (A) pathosystem I, (C) pathosystem II, and (E) pathosystem III (P< 0.05). Principal component analysis (PCA) loading coefficient plots for the effect of 11 antioxidant genes relative transcript abundance on control, infected and surrounding tissues in (B) pathosystem I, (D) pathosystem II, and (F) pathosystem III. The scaled loading vectors pc (corr) and t (corr) are displayed for the first and the second component. Outer ellipses represent the Hotelling’s T² at a 95% confidence interval. R²X represents the fraction of the sum of squares of the two principal components. ST: Solanum tuberosum, GM: Glycine max. Diamond represents genes. 1 = STPDX1.1, 2 = STPDX1.2, 3 = STPDX2, 4 = STPLR, 5 = STCAT, 6 = STGST, 7 = GMPDX1.1, 8 = GMPDX1.2, 9 = GMPDX2, 10 = GMPLR, 11 = GMCAT,12 = GMGST, 13 = RsolPDX1, 14 = RsolPDX2, 15 = RsolPLR, 16 = RsolCAT,17 = RsolGST.