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

Юрий Букин, Юрий Галачьянц, Игорь Владимирович Морозов, Сергей Букин, А. Захаренко, Тамара Земская

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

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%.

Original languageEnglish
Article number190007
Pages (from-to)190007
Number of pages14
JournalScientific Data
Volume6
DOIs
Publication statusPublished - 5 Feb 2019

Keywords

  • Bacteria/genetics
  • Computational Biology/methods
  • DNA Barcoding, Taxonomic/methods
  • High-Throughput Nucleotide Sequencing
  • Lakes
  • Metagenomics/methods
  • Microbiota/genetics
  • RNA, Ribosomal, 16S/genetics
  • Russia
  • Sequence Analysis, DNA
  • Water Microbiology

OECD FOS+WOS

  • 1.02 COMPUTER AND INFORMATION SCIENCES
  • 1.01 MATHEMATICS
  • 5.03 EDUCATIONAL SCIENCES

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