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Cited by 394

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

The effect of 16S rRNA region choice on bacterial community metabarcoding results

Open access
Bukin, Yu. S., Galachyants, Yu. P., Morozov, I. V., Bukin, S. V., Zakharenko, A. S., Zemskaya, T. I.·2019·Scientific Data

Abstract

In this work, we compare the resolution of V2-V3 and V3-V4 16S rRNA regions for the purposes of estimating microbial community diversity using paired-end Illumina MiSeq reads, and show that the fragment, including V2 and V3 regions, has higher resolution for lower-rank taxa (genera and species). It allows for a more precise distance-based clustering of reads into species-level OTUs. Statistically convergent estimates of the diversity of major species (defined as those that together are covered by 95% of reads) can be achieved at the sample sizes of 10000 to 15000 reads. The relative error of the Shannon index estimate for this condition is lower than 4%.

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Metadata

Authors
Bukin, Y. S., Galachyants, Y. P., Morozov, I. V., Bukin, S. V., Zakharenko, A. S., & Zemskaya, T. I.
Venue
Scientific Data
Published
2019-02-05
Volume
6
Issue
1
Pages
190007-190007
ISSN
2052-4463 (ISSN-L)
OpenAlex
W2912323350
Cited by
394
References
54
Type
data paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: The effect of 16S rRNA region choice on bacterial community metabarcoding results. https://app.cochat.ai/papers/10.1038/sdata.2019.7
The paper
Bukin, Y. S., Galachyants, Y. P., Morozov, I. V., Bukin, S. V., Zakharenko, A. S., & Zemskaya, T. I. (2019). The effect of 16S rRNA region choice on bacterial community metabarcoding results. Scientific Data. https://doi.org/10.1038/sdata.2019.7

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