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dc.contributor.authorBorry​, Maxime
dc.contributor.authorCordova, Bryan
dc.contributor.authorPerri, Angela
dc.contributor.authorWibowo, Marsha
dc.contributor.authorPrasad Honap, Tanvi
dc.contributor.authorKo, Jada
dc.contributor.authorYu, Jie
dc.contributor.authorBritton, Kate
dc.contributor.authorGirdland-Flink, Linus
dc.contributor.authorPower, Robert C.
dc.contributor.authorStuijts, Ingelise
dc.contributor.authorSalazar García, Domingo Carlos ORCID
dc.contributor.authorHofman, Courtney
dc.contributor.authorHagan, Richard
dc.contributor.authorSamdapawindé Kagoné, Thérèse
dc.contributor.authorMeda, Nicolas
dc.contributor.authorCarabin, Helene
dc.contributor.authorJacobson, David
dc.contributor.authorReinhard, Karl
dc.contributor.authorLewis, Cecil
dc.contributor.authorKostic, Aleksandar
dc.contributor.authorJeong, Choongwon
dc.contributor.authorHerbig, Alexander
dc.contributor.authorHübner, Alexander
dc.contributor.authorWarinner, Christina
dc.date.accessioned2020-05-27T08:51:17Z
dc.date.available2020-05-27T08:51:17Z
dc.date.issued2020-04-17
dc.identifier.citationPeerJ 8 : (2020) // Article ID e9001es_ES
dc.identifier.issn2167-8359
dc.identifier.urihttp://hdl.handle.net/10810/43534
dc.description.abstractShotgun 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.es_ES
dc.description.sponsorshipThis work was supported by the US National Institutes of Health R01GM089886 (to Christina Warinner and Cecil Lewis), the Deutsche Forschungsgemeinschaft EXC 2051 #390713860 (to Christina Warinner), and the Max Planck Society. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectcoprolitees_ES
dc.subjectpaleofeceses_ES
dc.subjectmicrobiomees_ES
dc.subjectendogenous DNAes_ES
dc.subjectarcheologyes_ES
dc.subjectmachine learninges_ES
dc.subjectnextflowes_ES
dc.subjectgutes_ES
dc.subjecthumanes_ES
dc.subjectdog molecular analysises_ES
dc.subjectancient DNAes_ES
dc.subjectdietes_ES
dc.subjectdogses_ES
dc.subjectdiversityes_ES
dc.subjectculturees_ES
dc.subjectgenomees_ES
dc.titleCoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA contentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderCopyright 2020 Borry et al. Distributed under Creative Commons CC-BY 4.0es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://peerj.com/articles/9001/#es_ES
dc.identifier.doi10.7717/peerj.9001
dc.departamentoesGeografía, prehistoria y arqueologíaes_ES
dc.departamentoeuGeografia,historiaurrea eta arkeologiaes_ES


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Copyright 2020 Borry et al. Distributed under Creative Commons CC-BY 4.0
Except where otherwise noted, this item's license is described as Copyright 2020 Borry et al. Distributed under Creative Commons CC-BY 4.0