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. 2019 Apr 4;20:268. doi: 10.1186/s12864-019-5641-1

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© The Author(s). 2019

Open Access This 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. 4 — 16S rRNA clustering statistics. a The relationship between the number of 16S rRNA clustering groups and the number of bacterial genomes represented in each cluster at various percent identity thresholds. b Taxonomic resolution (genus level) based on clustered marker genes for each of the three amplicon datasets. c and d The percentage of genomes whose 16S rRNA genes clustered into one, two, or greater than two different clustering groups for the 16S rRNA and V4 16S rRNA datasets respectively