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pr2-Wormifier: A Bioinformatics Pipeline to Create Custom Reference Databases for Improved Metabarcoding of Marine
Stefanie Knell1,2, Juliane Romahn1,2,3, Miklós Bálint1,2,3
1Justus Liebig University Giessen, Giessen, Germany.
Molecular Ecology Resources
|June 23, 2026
Summary
pr2-wormifier creates custom marine protist databases for environmental DNA (eDNA) studies. This improves taxonomic identification accuracy in metabarcoding, addressing limitations of existing resources.
Area of Science:
- Marine biology
- Bioinformatics
- Genomics
Background:
- Metabarcoding of environmental DNA (eDNA) and sedimentary ancient DNA (sedaDNA) is crucial for marine community assessment.
- Existing reference databases for 18S rRNA gene metabarcoding, especially for protists, lack comprehensiveness and taxonomic resolution.
- This limits the accuracy of biodiversity monitoring and paleoenvironmental reconstructions.
Purpose of the Study:
- To introduce pr2-wormifier, a bioinformatics pipeline for generating customized and improved 18S rRNA-based reference databases.
- To enhance taxonomic assignments for marine protists, including ciliates and dinoflagellates, at genus and species levels.
- To address limitations of current databases, such as low resolution and missing taxa.
Main Methods:
- The pr2-wormifier pipeline integrates sequences from PR2 and NCBI databases.
- It incorporates taxonomic information from the World Register of Marine Species (WoRMS) and AlgaeBase.
- The pipeline was benchmarked using a Baltic Sea sedimentary ancient DNA dataset.
Main Results:
- pr2-wormifier successfully generated customized reference databases for marine protists.
- The customized database improved taxonomic assignments at genus and species levels compared to using PR2 alone.
- The pipeline maintained taxonomic consistency and quality in sequence identification.
Conclusions:
- pr2-wormifier provides a flexible and scalable solution for creating tailored reference databases.
- It enhances the accuracy and resolution of protist identification in metabarcoding studies.
- This tool facilitates more reliable biodiversity assessments in marine and paleoenvironmental research.

