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Optimized DNA sampling of ancient bones using Computed Tomography scans

  • The prevalence of contaminant microbial DNA in ancient bone samples represents the principal limiting factor for palaeogenomic studies, as it may comprise more than 99% of DNA molecules obtained. Efforts to exclude or reduce this contaminant fraction have been numerous but also variable in their success. Here, we present a simple but highly effective method to increase the relative proportion of endogenous molecules obtained from ancient bones. Using computed tomography (CT) scanning, we identify the densest region of a bone as optimal for sampling. This approach accurately identifies the densest internal regions of petrous bones, which are known to be a source of high-purity ancient DNA. For ancient long bones, CT scans reveal a high-density outermost layer, which has been routinely removed and discarded prior to DNA extraction. For almost all long bones investigated, we find that targeted sampling of this outermost layer provides an increase in endogenous DNA content over that obtained from softer, trabecular bone. This targetedThe prevalence of contaminant microbial DNA in ancient bone samples represents the principal limiting factor for palaeogenomic studies, as it may comprise more than 99% of DNA molecules obtained. Efforts to exclude or reduce this contaminant fraction have been numerous but also variable in their success. Here, we present a simple but highly effective method to increase the relative proportion of endogenous molecules obtained from ancient bones. Using computed tomography (CT) scanning, we identify the densest region of a bone as optimal for sampling. This approach accurately identifies the densest internal regions of petrous bones, which are known to be a source of high-purity ancient DNA. For ancient long bones, CT scans reveal a high-density outermost layer, which has been routinely removed and discarded prior to DNA extraction. For almost all long bones investigated, we find that targeted sampling of this outermost layer provides an increase in endogenous DNA content over that obtained from softer, trabecular bone. This targeted sampling can produce as much as 50-fold increase in the proportion of endogenous DNA, providing a directly proportional reduction in sequencing costs for shotgun sequencing experiments. The observed increases in endogenous DNA proportion are not associated with any reduction in absolute endogenous molecule recovery. Although sampling the outermost layer can result in higher levels of human contamination, some bones were found to have more contamination associated with the internal bone structures. Our method is highly consistent, reproducible and applicable across a wide range of bone types, ages and species. We predict that this discovery will greatly extend the potential to study ancient populations and species in the genomics era.show moreshow less

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Author details:Federica AlbertiORCiD, Javier Gonzalez, Johanna L. A. PaijmansORCiDGND, Nikolas BaslerORCiD, Michaela PreickORCiD, Kirstin Henneberger, Alexandra Trinks, Gernot Rabeder, Nicholas J. Conard, Susanne C. Muenzel, Ulrich Joger, Guido Fritsch, Thomas Hildebrandt, Michael HofreiterORCiDGND, Axel BarlowORCiDGND
DOI:https://doi.org/10.1111/1755-0998.12911
ISSN:1755-098X
ISSN:1755-0998
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/29877032
Title of parent work (English):Molecular ecology resources
Publisher:Wiley
Place of publishing:Hoboken
Publication type:Article
Language:English
Date of first publication:2018/06/07
Publication year:2018
Release date:2021/07/08
Tag:ancient DNA; computer tomography; palaeogenomics; paleogenetics; petrous bone
Volume:18
Issue:6
Number of pages:13
First page:1196
Last Page:1208
Funding institution:ERC consolidator grant GeneFlow [310763]; Klaus Tschira foundation [00.298.2016]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer review:Referiert
Publishing method:Open Access / Green Open-Access
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