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Improving taxonomic inference from ancient environmental metagenomes by masking microbial-like regions in reference genomes
Stockholm University, Faculty of Science, Department of Zoology. Swedish Museum of Natural History, Sweden.ORCID iD: 0000-0002-2392-7090
Stockholm University, Faculty of Science, Department of Zoology. Swedish Museum of Natural History, Sweden.ORCID iD: 0000-0003-1364-9135
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Number of Authors: 102025 (English)In: GigaScience, E-ISSN 2047-217X, Vol. 14, article id giaf108Article in journal (Refereed) Published
Abstract [en]

Ancient environmental DNA is increasingly vital for reconstructing past ecosystems, particularly when paleontological and archaeological tissue remains are absent. Detecting ancient plant and animal DNA in environmental samples relies on using extensive eukaryotic reference genome databases for profiling metagenomics data. However, many eukaryotic genomes contain regions with high sequence similarity to microbial DNA, which can lead to the misclassification of bacterial and archaeal reads as eukaryotic. This issue is especially problematic in ancient eDNA datasets, where plant and animal DNA is typically present at very low abundance. In this study, we present a method for identifying bacterial- and archaeal-like sequences in eukaryotic genomes and apply it to nearly 3,000 reference genomes from NCBI RefSeq and GenBank (vertebrates, invertebrates, plants) as well as the 1,323 PhyloNorway plant genome assemblies from herbarium material from northern high-latitude regions. We find that microbial-like regions are widespread across eukaryotic genomes and provide a comprehensive resource of their genomic coordinates and taxonomic annotations. This resource enables the masking of microbial-like regions during profiling analyses, thereby improving the reliability of ancient environmental metagenomic datasets for downstream analyses.

Place, publisher, year, edition, pages
2025. Vol. 14, article id giaf108
Keywords [en]
ancient metagenomics, environmental DNA, microbial-like regions
National Category
Genetics and Genomics
Identifiers
URN: urn:nbn:se:su:diva-248483DOI: 10.1093/gigascience/giaf108ISI: 001585813800001PubMedID: 41041810Scopus ID: 2-s2.0-105017743900OAI: oai:DiVA.org:su-248483DiVA, id: diva2:2008865
Available from: 2025-10-24 Created: 2025-10-24 Last updated: 2025-10-24Bibliographically approved

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Jin, ChenyuLópez Clinton, SamanthaWijnands, FloreJohnson, ErnstKutschera, Verena E.Heintzman, Peter

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Jin, ChenyuLópez Clinton, SamanthaWijnands, FloreJohnson, ErnstKutschera, Verena E.Heintzman, Peter
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Department of ZoologyDepartment of Geological SciencesThe Bolin Centre for Climate Research (together with KTH & SMHI)Department of Biochemistry and BiophysicsScience for Life Laboratory (SciLifeLab)
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