Human population dynamics in Upper Paleolithic Europe inferred from fossil dental phenotypes

Author:

Rathmann Hannes12ORCID,Vizzari Maria T.3ORCID,Beier Judith24ORCID,Bailey Shara E.5ORCID,Ghirotto Silvia3ORCID,Harvati Katerina124ORCID

Affiliation:

1. Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.

2. Paleoanthropology Section, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.

3. Department of Life Sciences and Biotechnology, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy.

4. DFG Center for Advanced Studies “Words, Bones, Genes, Tools,” University of Tübingen, Rümelinstrasse 23, 72070 Tübingen, Germany.

5. Department of Anthropology, New York University, 25 Waverly Place, New York, NY 10003, USA.

Abstract

Despite extensive archaeological research, our knowledge of the human population history of Upper Paleolithic Europe remains limited, primarily due to the scarce availability and poor molecular preservation of fossil remains. As teeth dominate the fossil record and preserve genetic signatures in their morphology, we compiled a large dataset of 450 dentitions dating between ~47 and 7 thousand years ago (ka), outnumbering existing skeletal and paleogenetic datasets. We tested a range of competing demographic scenarios using a coalescent-based machine learning Approximate Bayesian Computation (ABC) framework that we modified for use with phenotypic data. Mostly in agreement with but also challenging some of the hitherto available evidence, we identified a population turnover in western Europe at ~28 ka, isolates in western and eastern refugia between ~28 and 14.7 ka, and bottlenecks during the Last Glacial Maximum. Methodologically, this study marks the pioneering application of ABC to skeletal phenotypes, paving the way for exciting future research avenues.

Publisher

American Association for the Advancement of Science (AAAS)

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