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Title: metaPR² : a database of eukaryotic 18S rRNA metabarcodes with an emphasis on protists
Authors: Vaulot, Daniel
Sim, Clarence Wei Hung
Ong, Denise
Teo, Bryan
Biwer, Charlie
Jamy, Mahwash
Lopes Dos Santos, Adriana
Keywords: Engineering::Environmental engineering
Science::Biological sciences
Issue Date: 2022
Source: Vaulot, D., Sim, C. W. H., Ong, D., Teo, B., Biwer, C., Jamy, M. & Lopes Dos Santos, A. (2022). metaPR² : a database of eukaryotic 18S rRNA metabarcodes with an emphasis on protists. Molecular Ecology Resources, 22(8), 3188-3201.
Project: RG26/19 
Journal: Molecular Ecology Resources 
Abstract: In recent years, metabarcoding has become the method of choice for investigating the composition and assembly of microbial eukaryotic communities. The number of environmental data sets published has increased very rapidly. Although unprocessed sequence files are often publicly available, processed data, in particular clustered sequences, are rarely available in a usable format. Clustered sequences are reported as operational taxonomic units (OTUs) with different similarity levels or more recently as amplicon sequence variants (ASVs). This hampers comparative studies between different environments and data sets, for example examining the biogeographical patterns of specific groups/species, as well analysing the genetic microdiversity within these groups. Here, we present a newly-assembled database of processed 18S rRNA metabarcodes that are annotated with the PR2 reference sequence database. This database, called metaPR2 , contains 41 data sets corresponding to more than 4000 samples and 90,000 ASVs. The database, which is accessible through both a web-based interface ( and an R package, should prove very useful to all researchers working on protist diversity in a variety of systems.
ISSN: 1755-098X
DOI: 10.1111/1755-0998.13674
Schools: Asian School of the Environment 
Rights: © 2022 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles

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