Assessing Metagenomic Signals Recovered from Lyuba, a 42,000-Year-Old Permafrost-Preserved Woolly Mammoth Calf

The reconstruction of ancient metagenomes from archaeological material, and their implication in human health and evolution, is one of the most recent advances in paleomicrobiological studies. However, as for all ancient DNA (aDNA) studies, environmental and laboratory contamination need to be speci...

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Bibliographic Details
Published in:Genes
Main Authors: Ferrari, Giada, Lischer, Heidi E L, Neukamm, Judith, Rayo, Enrique, Borel, Nicole, Pospischil, Andreas, Ruhli, Frank J, Bouwman, Abigail, Campana, Michael G
Format: Article in Journal/Newspaper
Language:English
Published: M D P I AG 2019
Subjects:
Online Access:http://hdl.handle.net/10852/71907
http://urn.nb.no/URN:NBN:no-75027
https://doi.org/10.3390/genes9090436
Description
Summary:The reconstruction of ancient metagenomes from archaeological material, and their implication in human health and evolution, is one of the most recent advances in paleomicrobiological studies. However, as for all ancient DNA (aDNA) studies, environmental and laboratory contamination need to be specifically addressed. Here we attempted to reconstruct the tissue-specific metagenomes of a 42,000-year-old, permafrost-preserved woolly mammoth calf through shotgun high-throughput sequencing. We analyzed the taxonomic composition of all tissue samples together with environmental and non-template experimental controls and compared them to metagenomes obtained from permafrost and elephant fecal samples. Preliminary results suggested the presence of tissue-specific metagenomic signals. We identified bacterial species that were present in only one experimental sample, absent from controls, and consistent with the nature of the samples. However, we failed to further authenticate any of these signals and conclude that, even when experimental samples are distinct from environmental and laboratory controls, this does not necessarily indicate endogenous presence of ancient host-associated microbiomic signals.