Evidence map›Paper›PMID 40670577›Full record

ArticleScientific reports2025

New insights from the application of ZooMS to Late Pleistocene fauna from Grotta di Castelcivita, southern Italy.

Annette Oertle, Jacopo Crezzini, Adriana Moroni, Annamaria Ronchitelli, Stefano Benazzi, Armando Falcucci, Giulia Marciani, Matteo Rossini, Ivan Martini, Simona Arrighi and 3 more

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Annette OertleDepartment of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria. annette.oertle@univie.ac.at.
Jacopo CrezziniDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Adriana MoroniDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Annamaria RonchitelliDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Stefano BenazziDepartment of Cultural Heritage, University of Bologna, Bologna, Italy.
Armando FalcucciDepartment of Geosciences, Prehistory and Archaeological Sciences Research Unit, Eberhard Karls University of Tübingen, Tübingen, Germany.
Giulia MarcianiDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Matteo RossiniDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Ivan MartiniDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Simona ArrighiDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Tom HighamDepartment of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Francesco BoschinDepartment of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy.
Katerina DoukaDepartment of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria.

Funding

HORIZON EUROPE European Research Council 101019659HORIZON EUROPE European Research Council 324130HORIZON EUROPE European Research Council 715069HORIZON EUROPE European Research Council 724046
6 · The paper itself

Abstract

The Middle to Upper Paleolithic cave site of Grotta di Castelcivita (Campania, Southern Italy) contains a key archaeological sequence exhibiting Late Mousterian occupation followed by the Uluzzian techno-complex and an Aurignacian sequence (Protoaurignacian and Early Aurignacian). Abundant faunal remains are found throughout the sequence with variations in taxa present in each period. Previous studies of the morphologically identifiable faunal remains have provided valuable information on species abundance and diversity to reconstruct subsistence behaviour. However, like in many Pleistocene sequences, much of the faunal assemblage is fragmented and unidentifiable. Here we focus on these unidentified fragmentary bones to add greater dimension to the observed patterns. The application of collagen peptide mass fingerprinting (or Zooarchaeology by Mass Spectrometry; ZooMS) on 1263 unidentified bones revealed distinct changes in ZooMS NISP values in the Uluzzian and Protoaurignacian periods where equids and bovids nearly doubled in quantity compared to the original morphologically identified macrofaunal assemblage. New ZooMS identifications of rhinoceros, bear, and canids were made in layers deeper than previous recorded zooarchaeological analyses, extending the presence of these taxa at the site. The unexpectedly high level of collagen preservation in the bones from the cave confirms the potential for further applications of biomolecular approaches to Pleistocene bones from southern Italy.

Indexed as

Bone and BonesFossilsAnimalsArchaeologyCollagenItalyMass SpectrometryCollagenPaleolithic assemblageZooarchaeologyZooarchaeology by mass spectrometry (ZooMS)

Identifiers

PMID40670577
PMCPMC12267457

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