ParaRef: a decontaminated reference database for parasite detection in ancient and modern metagenomic datasets
Shotgun metagenomics holds great potential for identifying parasite DNA in biological samples, but its effectiveness is limited by widespread contamination in publicly available reference genomes, which hinders accurate detection. In this study, we systematically quantify and remove contamination from 831 published endoparasite genomes to create ParaRef, a curated reference database for species-level parasite detection. We show that decontamination significantly reduces false detection rates and improves overall detection accuracy. Our study highlights the pervasive issue of contamination in public databases and offers a resource that will enhance the reliability of parasite detection using metagenomics.
Authors
- Martin Sikora (ORCID: https://orcid.org/0000-0003-2818-8319)
- Yue-Jiao Huang
- Robert R. Dunn (ORCID: https://orcid.org/0000-0002-6030-4837)
- Liam Thomas Lanigan (ORCID: https://orcid.org/0000-0001-6415-3506)
- Hannes Schroeder (ORCID: https://orcid.org/0000-0002-6743-0270)
- Jonas Niemann (ORCID: https://orcid.org/0000-0002-3304-8882)
- Arve L. Willingham Grijalba
Institutions
- University of Copenhagen (DK)
- Centre National de la Recherche Scientifique (FR)
- North Carolina State University (US)
- Institut Pasteur (FR)
- Université Paris Cité (FR)
- Department of Archaeology (LK)
Publication Details
- Journal
- Genome biology
- Published
- 2025-10-23
- DOI
- https://doi.org/10.1186/s13059-025-03818-w
- Primary Topic
- Parasite Biology and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- HORIZON EUROPE Framework Programme