Benchmarking a targeted 16S ribosomal RNA gene enrichment approach to reconstruct ancient microbial communities.

16S rRNA gene Ancient DNA Bioinformatics Dental calculus Hybridization capture Oral microbiome Paleomicrobiology Shotgun metagenomics

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2024
Historique:
received: 31 08 2023
accepted: 16 12 2023
medline: 5 3 2024
pubmed: 5 3 2024
entrez: 5 3 2024
Statut: epublish

Résumé

The taxonomic characterization of ancient microbiomes is a key step in the rapidly growing field of paleomicrobiology. While PCR amplification of the 16S ribosomal RNA (rRNA) gene is a widely used technique in modern microbiota studies, this method has systematic biases when applied to ancient microbial DNA. Shotgun metagenomic sequencing has proven to be the most effective method in reconstructing taxonomic profiles of ancient dental calculus samples. Nevertheless, shotgun sequencing approaches come with inherent limitations that could be addressed through hybridization enrichment capture. When employed together, shotgun sequencing and hybridization capture have the potential to enhance the characterization of ancient microbial communities. Here, we develop, test, and apply a hybridization enrichment capture technique to selectively target 16S rRNA gene fragments from the libraries of ancient dental calculus samples generated with shotgun techniques. We simulated data sets generated from hybridization enrichment capture, indicating that taxonomic identification of fragmented and damaged 16S rRNA gene sequences was feasible. Applying this enrichment approach to 15 previously published ancient calculus samples, we observed a 334-fold increase of ancient 16S rRNA gene fragments in the enriched samples when compared to unenriched libraries. Our results suggest that 16S hybridization capture is less prone to the effects of background contamination than 16S rRNA amplification, yielding a higher percentage of on-target recovery. While our enrichment technique detected low abundant and rare taxa within a given sample, these assignments may not achieve the same level of specificity as those achieved by unenriched methods.

Identifiants

pubmed: 38440408
doi: 10.7717/peerj.16770
pii: 16770
pmc: PMC10911074
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16770

Informations de copyright

© 2024 Eisenhofer et al.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

Auteurs

Raphael Eisenhofer (R)

The Globe Institute, University of Copenhagen, Copenhagan, Denmark.

Sterling Wright (S)

Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania, United States.

Laura Weyrich (L)

Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania, United States.
Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, United States.
School of Biological Sciences, University of Adelaide, Adelaide, Australia.

Classifications MeSH