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. 2020 Oct 13;10:17063. doi: 10.1038/s41598-020-73391-8

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

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Summary of differential gene expression analysis patterns. (A) Venn diagrams summarizing the total number of genes demonstrating significant FDR-corrected (5%) effects, including (left) genes with treatment, region, or interaction effects, (center) genes differentially expressed among CT_MAX, CT_MIN, and control treatments for the 296 genes exhibiting treatment effects alone, and (right) 55 genes with region effects alone. See Dataset S2G for details. (B) Network analysis of co-expression with WGCNA grouped genes into 26 modules, six of which (labeled 1–6 on heat map edges) demonstrated a significant relationship (likelihood ratio test, P < 0.05) with critical thermal temperature (CT_TEMP), Annual Mean Temperature (AMT), or some combination of the two. The strongest relationship was observed for Module 2 with CT_TEMP (black box; Dataset S3). (C) The eigengene value (expression analog) of module 2 genes (top) and expression of the module 2 hub gene, dnaJ protein homolog 1-like (bottom) as functions of Annual Mean Temperature for each treatment.