Tracing microbial communities associated with archaeological human samples in Latvia, 7–11th centuries AD

Jānis Ķimsis, Alise Pokšāne, Alisa Kazarina, Antonija Vilcāne, Elina Petersone-Gordina, Pawel Zayakin, Guntis Gerhards, Renate Ranka (Corresponding Author)

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
14 Downloads (Pure)

Abstract

In the grave environment, microorganisms are major ecological participants in the successional decomposition of vertebrates and could infiltrate the skeleton/skeletal material during taphonomic processes. The diversity of archaeological skeleton-associated microbial assemblages and the impact of various factors are poorly understood. This study aimed to evaluate the taxonomic microbial composition of archaeological human bone and teeth samples from the 7th to 11th centuries AD from two burial sites in Latvia. Samples were analysed by a shotgun metagenomics-based approach. The results showed a strong presence of the environmental DNA in the samples, and variability in microbial community structure between individual samples. Differences in microbial composition were observed between bone and tooth samples, as well as between different burial sites. Furthermore, the presence of endogenous ancient DNA (aDNA) in tooth samples was detected. Overall, compositions of microbial communities associated with archaeological human remains in Latvia dated 7–11th century AD were influenced by the sample type and burial location. These findings indicate that, while the content of historical DNA in archaeological samples is low, the comparison of archaeological skeleton-associated microbial assemblages across time and space, along with aDNA damage profile analysis, is important and could help to reveal putative ancient microorganisms.

Original languageEnglish
Pages (from-to)383-391
Number of pages9
JournalEnvironmental Microbiology Reports
Volume15
Issue number5
DOIs
Publication statusPublished - Oct 2023
Externally publishedYes

Field of Science*

  • 3.1 Basic medicine
  • 1.6 Biological sciences

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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