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. 2022 Sep 26;5:1013. doi: 10.1038/s42003-022-03955-z

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© The Author(s) 2022

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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Fig. 3 — a Pathway enrichment in 49 Candida strains. Significant metabolic pathways highlighted in Candida species indicating genetic pathway potential (Hypergeometric tests on contrasted annotation between AGAu and non-AGAu species, p values < 0.05). b Framework outline of metabolomic analysis of Candida species’ metabolism levels of bioactive metabolites in Candida strains exhausted media. Computer simulations were performed for pathway analysis, and statistical approach was applied for candidate metabolites that have a potential influence on the host. c Enriched metabolites detected in targeted metabolomics between AGAu and non- AGAu groups (Wilcoxon rank-sum tests, P values < 0.05, middle line for median with interquartile range (IQR) and whiskers 1.5× IQR, “Method”).