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. 2024 May 14;24:396. doi: 10.1186/s12870-024-05102-8

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© The Author(s) 2024

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. 9 — Protein–protein interaction (PPI) networks of DoAINV proteins. The network was generated based on the potential interaction data for 1,363 DEGs, extracted from the latest STRING database (STRING v11.5) and screened for transcriptomic data in cold stress treatment at 6 h compared to 0 h. Node size indicates its connectivity measured as node degree (i.e., the number of edges connecting the node); the bigger node means higher connectivity. Blue, green, and orange nodes represent different degrees of importance, with orange nodes indicating a Betweenness (BC) value > 1,000, green nodes presenting 1,000 > BC > 400, and blue nodes at BC < 400. Red nodes represent DoAINV family members. The edges (the connecting line) indicate the interaction between two genes, with the weight of the edges measuring their interaction strength. Thick edges denote strong interaction, whereas thin edges represent weak interaction