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. 2019 Dec 4;18:400. doi: 10.1186/s12936-019-3023-4

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© The Author(s) 2019

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. 6 — a, b For each of 100 randomly selected binning threshold (X-axis) ranging from the minimum to the maximum haplotype frequencies for each amplicon (a Pfama1, b Pfcsp), we classified parasites as rare or not, subset the data to include only rare parasites, and calculated F_ST (Y-axis) between Zambia and the DRC using only the subset data. c, d To test whether the reduced sample size was driving patterns in F_ST we randomly permuted the country of origin for each sample 1000 times. For each permutation, we subset the data to include only rare samples based on each binning threshold, and calculated F_ST comparing Zambia and the DRC. Boxplots show the range of F_ST estimates across the 1000 permutation replicates for Pfama1 (c) and Pfcsp (d)