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DRYAD; ZENODO; NARCIS
Dataset . 2018
License: CC 0
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DANS-EASY
Dataset . 2017
Data sources: B2FIND
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Data from: Neandertal and Denisovan DNA from Pleistocene sediments

Authors: Slon, Viviane; Hopfe, Charlotte; Weiss, Clemens L.; Mafessoni, Fabrizio; de la Rasilla, Marco; Lalueza-Fox, Carles;

Data from: Neandertal and Denisovan DNA from Pleistocene sediments

Abstract

Although a rich record of Pleistocene human-associated archaeological assemblages exists, the scarcity of hominin fossils often impedes the understanding of which hominins occupied a site. Using targeted enrichment of mitochondrial DNA we show that cave sediments represent a rich source of ancient mammalian DNA that often includes traces of hominin DNA, even at sites and in layers where no hominin remains have been discovered. By automation-assisted screening of numerous sediment samples we detect Neandertal DNA in eight archaeological layers from four caves in Eurasia. In Denisova Cave we retrieved Denisovan DNA in a Middle Pleistocene layer near the bottom of the stratigraphy. Our work opens the possibility to detect the presence of hominin groups at sites and in areas where no skeletal remains are found.

Multiple sequence alignment files This submission contains multiple sequence alignment files used for phylogenetic reconstructions. Sequences reconstructed from sediments are denominated by the site and layer of origin. The comparative data (identical in all files) is identified by the name of the individual and the accession code of its mtDNA sequence. MSA_sedimentDNA.zip

Peer reviewed

Country
Spain
Related Organizations
Keywords

medicine and health care, http://aims.fao.org/aos/agrovoc/c_2d8abda1, Sedimento, http://aims.fao.org/aos/agrovoc/c_25341, Pleistoceno, ADN, http://aims.fao.org/aos/agrovoc/c_2347, Life Sciences, Medicine

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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