Open Access

Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity

  • Yan He1,
  • J. Gregory Caporaso2, 3,
  • Xiao-Tao Jiang1,
  • Hua-Fang Sheng1,
  • Susan M. Huse4,
  • Jai Ram Rideout3,
  • Robert C. Edgar5,
  • Evguenia Kopylova6,
  • William A. Walters7,
  • Rob Knight6, 8 and
  • Hong-Wei Zhou1Email author
Microbiome20153:34

https://doi.org/10.1186/s40168-015-0098-1

Received: 22 July 2015

Accepted: 22 July 2015

Published: 31 July 2015

The original article was published in Microbiome 2015 3:20

Correction

After publication of this work [1], we noted that one of the references in the introduction was not described properly. With respect to the original authors, we clarify that this sentence in introduction: “Due to the lack of a gold standard of ‘correct’ OTUs, several measurements have been used to evaluate the performance of clustering methods, for example, rationality of OTU structure [2, 3], computational efficiency (that is, runtime and memory requirements) [4], and the ability to cope with OTU inflation [5]” should be stated as “Due to the lack of a gold standard of ‘correct’ OTUs, several measurements have been used to evaluate the performance of clustering methods, for example, rationality of OTU structure [2], use of the Matthew’s Correlation Coefficient [3], computational efficiency (that is, runtime and memory requirements) [4], and the ability to cope with OTU inflation [5]”.

Notes

Declarations

Authors’ Affiliations

(1)
State Key Laboratory of Organ Failure Research, Department of Environmental Health, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health and Tropical Medicine, Southern Medical University
(2)
Department of Biological Sciences, Northern Arizona University
(3)
Center for Microbial Genetics and Genomics, Northern Arizona University
(4)
Department of Pathology and Laboratory Science, Warren Alpert Medical School, Brown University
(5)
(6)
Department of Pediatrics, University of California at San Diego
(7)
Department of Molecular Biology and Genetics, Cornell University
(8)
Department of Computer Science and Engineering, University of California at San Diego

References

  1. He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, et al. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015;3:20.PubMed CentralPubMedView ArticleGoogle Scholar
  2. Jiang X-T, Zhang H, Sheng H-F, Wang Y, He Y, Zou F, et al. Two-Stage Clustering (TSC): a pipeline for selecting operational taxonomic units for the high-throughput sequencing of PCR amplicons. PLoS ONE. 2012;7.Google Scholar
  3. Schloss PD, Westcott SL. Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis. Appl Environ Microbiol. 2011;77:3219–26.PubMed CentralPubMedView ArticleGoogle Scholar
  4. Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26:2460–1.PubMedView ArticleGoogle Scholar
  5. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods. 2013;10:996–8.PubMedView ArticleGoogle Scholar

Copyright

© He et al. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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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