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. 2017 Aug 4;7:7343. doi: 10.1038/s41598-017-07566-1

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© The Author(s) 2017

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Amino acid metabolism. A general view of the metabolites detected belonging to amino acids including: (A) The OPLS-DA score plot showed a clear separation between two genotypes with p(CV-ANOVA) = 1.99925E-23. (B) A plot formed by VIP scores and p(corr) revealed using OPLS-DA. The criteria VIP > 1.0 and |p(corr)|>0.5 were used to select potential metabolites (red) showing marked changes due to the loss of dG9a. (C) Essential amino acids (D) Non-essential amino acids (E) Uric acid (F) Urea. 4–5 replications for each time point. *The metabolites were significantly different in “genotype” between the wild-type and dG9a^RG5 mutant in a two-way ANOVA with P < 0.05.