Comparing extraction method efficiency for high‑throughput palaeoproteomic bone species identification

Mylopotamitaki, D., Harking, F. S., Taurozzi, A. J., Fagernäs, Z., Godhinho, R. M., Smith, G. M. ORCID: https://orcid.org/0000-0001-7155-5140, Weiss, M., Schüler, T., McPherron, S. P., Mellar, H., Cascalheira, J., Bicho, N., Olsen, J. V., Hublin, J.-J. and Welker, F. (2023) Comparing extraction method efficiency for high‑throughput palaeoproteomic bone species identification. Scientific Reports, 13. 18345. ISSN 2045-2322 doi: 10.1038/s41598-023-44885-y

Abstract/Summary

High-throughput proteomic analysis of archaeological skeletal remains provides information about past fauna community compositions and species dispersals in time and space. Archaeological skeletal remains are a fnite resource, however, and therefore it becomes relevant to optimize methods of skeletal proteome extraction. Ancient proteins in bone specimens can be highly degraded and consequently, extraction methods for well-preserved or modern bone might be unsuitable for the processing of highly degraded skeletal proteomes. In this study, we compared six proteomic extraction methods on Late Pleistocene remains with variable levels of proteome preservation. We tested the accuracy of species identifcation, protein sequence coverage, deamidation, and the number of post-translational modifcations per method. We fnd striking diferences in obtained proteome complexity and sequence coverage, highlighting that simple acid-insoluble proteome extraction methods perform better in highly degraded contexts. For well-preserved specimens, the approach using EDTA demineralization and protease-mix proteolysis yielded a higher number of identifed peptides. The protocols presented here allowed protein extraction from ancient bone with a minimum number of working steps and equipment and yielded protein extracts within three working days. We expect further development along this route to beneft large-scale screening applications of relevance to archaeological and human evolution research.

Item Type	Article
URI	https://centaur.reading.ac.uk/id/eprint/123387
Identification Number/DOI	10.1038/s41598-023-44885-y
Refereed	Yes
Divisions	Science > School of Archaeology, Geography and Environmental Science > Scientific Archaeology Science > School of Archaeology, Geography and Environmental Science > Department of Archaeology
Publisher	Nature Publishing Group
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