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. 2021 Dec 14;22:894. doi: 10.1186/s12864-021-08200-1

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© The Author(s) 2021

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. 4 — Principal components analysis based on MAF or pairwise Fst. PCA plots of (a) allele frequency of Aedes aegypti samples (MAF > 0.1, minimal coverage > 50); (b, d) pairwise Fst throughout the genome with 100 kbp non-overlapping windows, and (c, e) pairwise Fst within genes. Colors in (b, c) represent geographical comparisons. The blue color in (d, e) represents comparisons between Wolbachia-infected and uninfected samples, while red represents comparisons within Wolbachia-infected samples and green represents the comparison within uninfected samples. The 95% confidence ellipses show data clustering