Skip to main content

Advertisement

Log in

The effect of metabarcoding 18S rRNA region choice on diversity of microeukaryotes including phytoplankton

  • Research
  • Published:
World Journal of Microbiology and Biotechnology Aims and scope Submit manuscript

Abstract

Metabarcoding using high throughput sequencing of amplicons of the 18S rRNA gene is one of the widely used methods for assessing the diversity of microeukaryotes in various ecosystems. We investigated the effectiveness of the V4 and V8-V9 regions of the 18S rRNA gene by comparing the results of metabarcoding microeukaryotic communities using the DADA2 (ASV), USEARCH-UNOISE3 (ZOTU), and USEARCH-UPARSE (OTU with 97% similarity) algorithms. Both regions showed similar levels of genetic variability and taxa identification accuracy. Richness for DADA2 datasets of both regions was lower than for UNOISE3 and UPARSE datasets, which is due to more accurate error correction in amplicons. Microeukaryotic communities (autotrophs and heterotrophs) structure identified using both regions showed a significant relationship with phytoplankton (autotrophs) communities structure based on microscopy in a seasonal freshwater sample series. The strongest relationship was found between the phytoplankton species and V8-V9 ASVs produced by DADA2.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data Availability

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.

References

Download references

Acknowledgements

Anonymous reviewers are acknowledged for their honest and constructive comments which have greatly improved this work.

Funding

This work was supported by the Ministry of Science and Higher Education of Russian Federation project no. 0279–2021-0009 “Study of the role of selected genes and proteins of Baikal diatoms by methods of bioinformatics and physicochemical biology”.

Author information

Authors and Affiliations

Authors

Contributions

Yuri Bukin performed methodological planning, statistical analysis, prepared figures, wrote the main text of the manuscript. Ivan Mikhailov performed high-throughput sequencing data analysis, statistical analysis, prepared figures, wrote the main text of the manuscript, organization of expedition work and sampling. Darya Petrova carried out the DNA extraction, quality control of the original DNA preparations. Yuri Galachyants performed methodological planning, performed selection of primers for 18S rRNA. Yulia Zakharova organization of expedition work and sampling. Yelena Likhoshway provided guidance and methodological planning. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ivan S. Mikhailov.

Ethics declarations

Competing interests

The authors have no competing interests to declare that are relevant to the content of this article.

Consent for publication

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bukin, Y.S., Mikhailov, I.S., Petrova, D.P. et al. The effect of metabarcoding 18S rRNA region choice on diversity of microeukaryotes including phytoplankton. World J Microbiol Biotechnol 39, 229 (2023). https://doi.org/10.1007/s11274-023-03678-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11274-023-03678-1

Keywords

Navigation