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. 2023 Sep 21;14:1254777. doi: 10.3389/fmicb.2023.1254777

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Copyright © 2023 Leeper, Tolar, Griswold, Vidyaprakash, Hise, Williams, Im, Chen, Pouseele and Carleton.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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K-means analysis results for one representative outbreak (outbreak 03) using cgMLST, wgMLST (chrom), and hqSNP pairwise genomic differences. Top row: hierarchical clustering results of the dataset show partitioning of outbreak (blue) isolate sequences and sporadic (orange) isolate sequences. Bottom row: elliptical cluster plots show outbreak (blue) and sporadic (orange) isolates plotted separately on a two-dimensional plane, with ellipses fit to the points in the two clusters. On elliptical plots, the sum of values on the x and y-axis scales indicate that a principle component analysis (Ding and He, 2004) accounts for 93.0% (cgMLST), 89.8% [wgMLST(chrom)], and 92.1% (hqSNP) of variation.