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. 2024 Nov 8;14:27215. doi: 10.1038/s41598-024-77249-1

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 1 — Phylogeographic analysis of Pintomyia monticola populations based on COI sequences in Brazil. Left: Bayesian maximum credibility (MCC) tree with terminal labels being GenBank accession numbers. The color pattern of tip shapes and labels corresponds to the sampling localities. Values near nodes are posterior probabilities > 0.95. Bars adjacent to terminals represent MOTU delimitation made by corresponding algorithms and are colored according to the intermediate scenario given by PTP. Top right: Median Joining Haplotype network. Bottom right: Map of sample localities. The different locations were grouped and highlighted according to the main geographical regions mentioned in the methods section: NDR North of the Doce River, SDR South of the Doce River, SMC Serra do Mar Coastal Forest, ARA Araucaria moist Forest, APA Alto Paraná Atlantic Forest, BIF Bahia Interior Forest.