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Cited by 243

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Broadscale Ecological Patterns Are Robust to Use of Exact Sequence Variants versus Operational Taxonomic Units

Open access
Glassman, Sydney I., Martiny, Jennifer B. H.·2018·mSphere

Abstract

Microbial ecologists have made exceptional improvements in our understanding of microbiomes in the last decade due to breakthroughs in sequencing technologies. These advances have wide-ranging implications for fields ranging from agriculture to human health. Due to limitations in databases, the majority of microbial ecology studies use a binning approach to approximate taxonomy based on DNA sequence similarity. There remains extensive debate on the best way to bin and approximate this taxonomy. Here we examine two popular approaches using a large field-based data set examining both bacteria and fungi and conclude that there are not major differences in the ecological outcomes. Thus, it appears that standard microbial community analyses are not overly sensitive to the particulars of binning approaches.

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Metadata

Authors
Glassman, S. I., & Martiny, J. B. H.
Venue
mSphere
Published
2018-08-29
Volume
3
Issue
4
ISSN
2379-5042 (ISSN-L)
OpenAlex
W2951922744
Cited by
243
References
2
FWCI
17.38
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Broadscale Ecological Patterns Are Robust to Use of Exact Sequence Variants versus Operational Taxonomic Units. https://app.cochat.ai/papers/10.1128/msphere.00148-18
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Glassman, S. I., & Martiny, J. B. H. (2018). Broadscale Ecological Patterns Are Robust to Use of Exact Sequence Variants versus Operational Taxonomic Units. mSphere. https://doi.org/10.1128/msphere.00148-18

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.