CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content
Borry MPapers in this archive, Cordova BPapers in this archive, Perri APapers in this archive, Wibowo MPapers in this archive, Prasad Honap TPapers in this archive, Ko JPapers in this archive, Yu JPapers in this archive, Britton KPapers in this archive, Girdland-Flink LPapers in this archive, Power RCPapers in this archive, Stuijts IPapers in this archive, Salazar-García DCPapers in this archive, Hofman CPapers in this archive, Hagan RPapers in this archive, Samdapawindé Kagoné TPapers in this archive, Meda NPapers in this archive, Carabin HPapers in this archive, Jacobson DPapers in this archive, Reinhard KPapers in this archive, Lewis CPapers in this archive, Kostic APapers in this archive, Jeong CPapers in this archive, Herbig APapers in this archive, Hübner APapers in this archive, Warinner CPapers in this archive
Abstract
Shotgun metagenomics applied to archaeological feces (paleofeces) can bring new insights into the composition and functions of human and animal gut microbiota from the past. However, paleofeces often undergo physical distortions in archaeological sediments, making their source species difficult to identify on the basis of fecal morphology or microscopic features alone. Here we present a reproducible and scalable pipeline using both host and microbial DNA to infer the host source of fecal material. We apply this pipeline to newly sequenced archaeological specimens and show that we are able to distinguish morphologically similar human and canine paleofeces, as well as non-fecal sediments, from a range of archaeological contexts. Keywords: Coprolite, Paleofeces, Microbiome, Endogenous DNA, Archeology, Machine learning, Nextflow, Gut, Human, Dog
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