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Record W4408610641 · doi:10.1101/2025.03.14.643068

New methods on the block: Taxonomic identification of archaeological bones in resin-embedded sediments through palaeoproteomics

2025· preprint· en· W4408610641 on OpenAlex
Zandra Fagernäs, Gaudry Troché, Paul Goldberg, Jean‐Jacques Hublin, Shannon P. McPherron, William Chase Murphree, Jesper V. Olsen, Dennis Sandgathe, Nikolay Sirakov, Marie Soressi, Tsenka Tsanova, Alain Turq, Michael Wierer, Frido Welker, Vera Aldeias

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIdentification (biology)ArchaeologyBlock (permutation group theory)GeologyGeographyBiologyMathematicsEcologyGeometry

Abstract

fetched live from OpenAlex

Abstract The integration of biomolecular studies of past organisms with geoarchaeological studies can significantly improve our understanding of the relative chronology and context of archaeologically (in)visible behaviours. However, the complexity and sedimentological heterogeneity of archaeological deposits at a microscopic scale is often not taken into consideration in biomolecular studies. Here, we investigate the preservation and retrieval of palaeoproteomic data from bone fragments embedded in Pleistocene resin-impregnated sediment blocks. We show that resin impregnation has minimal effect on skeletal protein taxonomic identifications in modern skeletal material, but observe an increase in oxidation-related post-translational modifications. We then successfully retrieve proteins from resin-impregnated blocks from the Palaeolithic sites of Bacho Kiro Cave, La Ferrassie and Quinçay. The taxonomic identifications of minute bones encased in resin are in line with previous analyses of the faunal communities of these sites, with a diversity of taxa ( Bos sp./ Bison sp., Equus sp., Ursus sp., and Caprinae) observed at a microscale in Bacho Kiro. This differs from results from La Ferrassie where most of the samples are identified as a single taxon ( Bos sp./ Bison sp.) across different areas of the site. The block from Quinçay only provided taxonomic identification of two out of eleven bone-derived samples, likely due to diagenesis. Our work indicates that palaeoproteomes can be retrieved from bone fragments at a microstratigraphic resolution, enabling the detailed study of faunal community composition at a scale that more closely matches that of past human occupations. Significance Statement Resin-embedded sediment blocks are widely used in archaeology and soil sciences to reconstruct past environments and human behavior, but their potential for biomolecular analysis is underexplored. Here, we demonstrate that ancient proteins can be successfully retrieved from bone fragments embedded in resin-impregnated sediment blocks from Pleistocene archaeological sites. Our findings show that resin impregnation has a minimal impact on protein recovery and that palaeoproteomics enables taxonomic identification of Pleistocene bone fragments at a microstratigraphic scale. This approach allows for reconstructing past faunal communities with unprecedented detail, improving our understanding of ancient ecosystems and the environmental contexts of early hominin occupations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.324
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.278
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it