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. 2017 Oct 30;8:1188. doi: 10.1038/s41467-017-01312-x

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© The Author(s) 2017

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 — Effects of curation with the LULU algorithm for clustering methods at 97% level. OTU table metrics before (red = raw) and after (blue = curated) curation with LULU. a correspondence of OTU (plant ITS2 sequence data) richness vs. plant richness for each of the 130 sampling sites, b total number of OTUs compared to total plant species recorded (564 species, dashed line), c percentage of OTUs having taxonomically redundant annotation, d OTU β-diversity (total richness/mean site richness) compared to plant β-diversity (17.23, dashed line), e distribution of best reference database (GenBank) match for OTUs retained and discarded by LULU