Evidence map›Paper›PMID 39294129›Full record

ArticleScientific reports2024

Towards predicting the geographical origin of ancient samples with metagenomic data.

Davide Bozzi, Samuel Neuenschwander, Diana Ivette Cruz Dávalos, Bárbara Sousa da Mota, Hannes Schroeder, J Víctor Moreno-Mayar, Morten E Allentoft, Anna-Sapfo Malaspinas

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Davide BozziDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland. davide.bozzi@unil.ch.
Samuel NeuenschwanderDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Diana Ivette Cruz DávalosDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Bárbara Sousa da MotaDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland.
Hannes SchroederGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
J Víctor Moreno-MayarGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Morten E AllentoftLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Anna-Sapfo MalaspinasDepartment of Computational Biology, University of Lausanne, 1015, Lausanne, Switzerland. annasapfo.malaspinas@unil.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstructing the history-such as the place of birth and death-of an individual sample is a fundamental goal in ancient DNA (aDNA) studies. However, knowing the place of death can be particularly challenging when samples come from museum collections with incomplete or erroneous archives. While analyses of human DNA and isotope data can inform us about the ancestry of an individual and provide clues about where the person lived, they cannot specifically trace the place of death. Moreover, while ancient human DNA can be retrieved, a large fraction of the sequenced molecules in ancient DNA studies derive from exogenous DNA. This DNA-which is usually discarded in aDNA analyses-is constituted mostly by microbial DNA from soil-dwelling microorganisms that have colonized the buried remains post-mortem. In this study, we hypothesize that remains of individuals buried in the same or close geographic areas, exposed to similar microbial communities, could harbor more similar metagenomes. We propose to use metagenomic data from ancient samples' shotgun sequencing to locate the place of death of a given individual which can also help to solve cases of sample mislabeling. We used a k-mer-based approach to compute similarity scores between metagenomic samples from different locations and propose a method based on dimensionality reduction and logistic regression to assign a geographical origin to target samples. We apply our method to several public datasets and observe that individual samples from closer geographic locations tend to show higher similarities in their metagenomes compared to those of different origin, allowing good geographical predictions of test samples. Moreover, we observe that the genus Streptomyces commonly infiltrates ancient remains and represents a valuable biomarker to trace the samples' geographic origin. Our results provide a proof of concept and show how metagenomic data can also be used to shed light on the place of origin of ancient samples.

Indexed as

DNA, AncientMetagenomeMetagenomicsGeographyHumansMicrobiotaDNA, Ancient

Identifiers

PMID39294129
PMCPMC11411106

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