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. 2023 Apr 20;23:206. doi: 10.1186/s12870-023-04221-y

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© The Author(s) 2023

Open AccessThis 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. 6 — Screening of potential interacting genes based on WGCNA. (a) Clustering dendrogram of the average network adjacency for identifying potential interacting genes. The genes in modules are marked with different colors. (b) Gene networks in blue, brown and turquoise modules. The CsAP2/ERFs in these three modules are severally colored with the module color, and the orange dots show the bud break related genes. The dot size represents the degree values. (c) The expression profiles of the selected genes from the blue, brown and turquoise modules