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. 2022 Jan 31;7(2):251–261. doi: 10.1038/s41564-021-01054-z

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© The Author(s) 2022

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a, Stacked bar graphs illustrate the number of isolates from each Shigella spp. sequenced from GEMS and used in the current study, grouped by country. The seven countries from GEMS are highlighted in grey on the map and the selected field site(s) from each country are shown in brackets. b, Violin plots of pairwise genomic distances (in SNPs) among Shigella isolates within subgroups. Inset: a magnified plot for S. sonnei. The table below the plots shows the genomic diversity (as measured by the total number of SNPs per kbp (Methods)), the contribution to GEMS shigellosis burden and the shigellosis burden relative to genomic diversity for each species. For S. sonnei, the genomic diversity and shigellosis burden relative to genomic diversity calculated excluding the two outliers are shown in brackets.

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