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. 2023 Aug 25;13:13948. doi: 10.1038/s41598-023-40935-7

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© The Author(s) 2023, corrected publication 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/.

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Discriminant analysis of principal component (DAPC) in samples from Vietnam (2000–2016). DAPC was performed using all markers genotyped in the pfTSCA and the SNP barcode. Scatter plot shows discriminant analysis (DA) eigenvalues 1 and 2, in which populations are differentiated by color (geographical region) and shape (time). Alleles contributing most to the DAPC are listed in Supplementary Table S9.