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. 2022 Apr 5;16(7):1776–1787. doi: 10.1038/s41396-022-01230-x

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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. 4 — The results of two types of GO enrichment analyses are shown: ORA (in topGO, Fisher’s exact test, elim algorithm) and GSEA (in CAMERA), after removal of redundant terms by REVIGO. For ORA, we classified the total set of DE genes in the average response into two categories, distinguishing between genes that are up- or downregulated in low salinities, regardless of salinity contrast (see Supplementary Methods for details). For CAMERA, we performed GSEA analyses on each individual contrast separately, showing only the 8–24 contrast in this figure. Barplot height indicates the proportion of genes that are DE with a given GO term to the total number of genes with this GO term in the genome of S. marinoi. The barplots are colored according to p value. Within the set of up- and downregulated genes, the GO terms are ranked from lowest to highest p value, using the lowest of two p values from ORA or GSEA. Symbols indicate major categories of cellular processes to which a GO term belongs. Only Biological Process GO terms are shown.