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. 2023 Aug 28;24:494. doi: 10.1186/s12864-023-09617-6

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Weighted gene co-expression network analysis (WGCNA). A Gene cluster dendrograms and module detecting. B Heat map of module-trait correlation. C-H Gene co-expression network analysis in six modules of magenta, salmon, pink, midnight, lightcyan and blue. The abscissa represents different traits, the vertical ordinate represents different modules. Red color of each box represents the positive correlation between module and trait; blue color represents the negative relationships between module and trait. Candidate hub genes are shown in red. Each node represents a gene, and each edge represents the co-expression correlation between genes