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. 2019 May 21;9:7664. doi: 10.1038/s41598-019-43979-w

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© The Author(s) 2019

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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Analysis of interacting gene networks in the ‘oxidoreductase’ category of the V. parvula differentially expressed gene dataset. Where possible, genes were assigned names based on the V. parvula DSM2008 genome nomenclature by homology searching. The gene list was uploaded to the STRING database, which predicts potential interactions based on factors such as gene environment, protein function or text-mining. The strength of evidence for interactions is indicated by the thickness of edges, with thicker lines indicating stronger interactions. Color coding is based on k-means clustering. The largest network is centered upon Vpar_1637, a predicted glutamate synthase.