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. 2020 Jul 6;10:11116. doi: 10.1038/s41598-020-68096-x

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© The Author(s) 2020

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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The spring-embedded network indicating the individual correlations between the significantly discriminant secondary metabolite levels and (a) the 1-Octen-3-ol gradient treatments, T_grad. (b) mycelial growth rates, K_r (c) conidial density, Cd (d) sclerotial counts, Sc and (e) secreted α-amylase activity, Aa for A. flavus subjected to varying VOC treatments. The nodes of the network represent the metabolites indicated with unique codes while the edges display the significant correlations (Pearson's coefficient r, 0.4 > and < − 0.4 at p < 0.01) for multiple testing. The positive and negative correlations are indicated with red and blue colored nodes, respectively.