Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Improving taxonomic inference from ancient environmental metagenomes by masking microbial-like regions in reference genomes
Lund University Department of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, , SE-223 62 Lund ,.ORCID iD: 0000-0001-5326-8893
Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Centre for Palaeogenetics , Svante Arrhenius väg 20C, SE-10691 Stockholm ,;Swedish Museum of Natural History Department of Bioinformatics and Genetics, , SE-104 05 Stockholm ,;Stockholm University Department of Zoology, , SE-106 91 Stockholm ,.ORCID iD: 0000-0002-2392-7090
Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Centre for Palaeogenetics , Svante Arrhenius väg 20C, SE-10691 Stockholm ,;Swedish Museum of Natural History Department of Bioinformatics and Genetics, , SE-104 05 Stockholm ,;Stockholm University Department of Zoology, , SE-106 91 Stockholm ,.ORCID iD: 0000-0003-1364-9135
Swedish Museum of Natural History, Department of Bioinformatics and Genetics. Centre for Palaeogenetics , Svante Arrhenius väg 20C, SE-10691 Stockholm ,;Swedish Museum of Natural History Department of Bioinformatics and Genetics, , SE-104 05 Stockholm ,.ORCID iD: 0000-0002-9922-2118
Show others and affiliations
2025 (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
National Category
Bioinformatics and Computational Biology
Research subject
Diversity of life
Identifiers
URN: urn:nbn:se:nrm:diva-5977DOI: 10.1093/gigascience/giaf108OAI: oai:DiVA.org:nrm-5977DiVA, id: diva2:2006017
Funder
Knut and Alice Wallenberg Foundation, KAW 2021.0048 [P.D.H., F.W.]Knut and Alice Wallenberg Foundation, KAW 2022.0033 [P.D.H.]Swedish Research Council, VR 2020-04808Available from: 2025-10-13 Created: 2025-10-13 Last updated: 2025-10-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttps://academic.oup.com/gigascience/article/doi/10.1093/gigascience/giaf108/8271467

Search in DiVA

By author/editor
Oskolkov, NikolayJin, ChenyuLópez Clinton, SamanthaGuinet, BenjaminWijnands, FloreJohnson, ErnstKutschera, Verena EKinsella, Cormac MHeintzman, Peter Dvan der Valk, Tom
By organisation
Department of Bioinformatics and Genetics
In the same journal
GigaScience
Bioinformatics and Computational Biology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf