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. 2021 Dec 21;11:24333. doi: 10.1038/s41598-021-03548-6

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© The Author(s) 2021

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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Identification of F_ST outlier loci using (a) Mcheza and (b) BayeScan and (c) the Venn diagram summarizing the number of loci identified as F_ST outlier loci by Mcheza and BayeScan and significantly associated with environmental variables by Samβada and LFMM. In (a) F_ST values were plotted against its heterozygosity (H_E). The dashed lines represent the 99% confidence intervals. Loci under positive selection are indicated as red dots, those under balancing selection as blue dots, and neutral as grey dots. Loci under positive selection detected also by BayeScan are underlined while those identified by Samβada are shown in italics. In (b) F_ST values were plotted against the log₁₀ of the posterior odds (PO). The vertical line shows the critical PO used for identifying outlier markers [FDR < 0.01; PO = 29,03; log₁₀(PO) = 1463]. Loci under positive selection detected also by Mcheza are underlined while those identified by Samβada are shown in italics.