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. 2023 Nov 24;14:150. doi: 10.1186/s40104-023-00944-y

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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. 1 — Sampling and population analysis of geese using whole-genome sequencing (WGS) data. A Distribution of the goose breeds used in this study (It is important to emphasize that all goose samples, including those of the Landes goose and White Roman goose, were exclusively collected in China). The color of the dots indicates the name of the goose breed. B The phylogenetic tree and population structure analysis of geese based on the whole genome SNP sites. The colors of the phylogenetic tree correspond to the annotations on the right side