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. 2018 Aug 6;17:285. doi: 10.1186/s12936-018-2432-0

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© The Author(s) 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

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Fig. 2 — Principal component analysis (PCA) plots of the Anopheles gambiae genome-wide SNP dataset (N = 79). In a–c each dot represents an individual mosquito that was sequenced by RADseq technology. Entomological sampling sites are color-coded according to the legend as follows: BK (Bukasa); BL (Bugala); EB (Entebbe); NZ (Nsadzi); SY (Sserinya), and WL (Wamala). The first principal component (PC1) and its percentage variance are represented by the y-axis and, likewise, the x-axis represents the second principal component (PC2) and its percentage variance. a Plot of 5175 SNPs mapped to the AgamP4 genome [42]. b Plot of 1078 SNPs mapped to chromosome 2L [42]. c Plot of 4097 SNPs mapped to the AgamP4 genome [42] after removal of chromosome 2L SNPs