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Shell palaeoproteomics: first application of peptide mass fingerprinting for the rapid identification of mollusc shells in archaeology

Authors :
Barbara Pergolizzi
Beatrice Demarchi
Frédéric Marin
Jorune Sakalauskaite
Department of Life Sciences and Systems Biology [University of Turin]
University of Turin
Biogéosciences [UMR 6282] [Dijon] (BGS)
Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Department of Biological and Clinical Sciences
Supported by the PHC Galilée programme, Italo-French University (UIF/UFI) (project G18-464/39612SB), by support of the Campus France fund obtained through the program 'Eiffel', and by the 'Giovani Ricercatori - Rita Levi Montalcini' Programme (MIUR
Ministero dell'Istruzionedell'Università e della Ricerca).
Università degli studi di Torino = University of Turin (UNITO)
Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)
Source :
Journal of Proteomics, Journal of Proteomics, Elsevier, 2020, 227, pp.103920. ⟨10.1016/j.jprot.2020.103920⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

10 pages; International audience; Molluscs were one of the most widely-used natural resources in the past, and their shells are abundant among archaeological findings. However, our knowledge of the variety of shells that were circulating in prehistoric times (and thus their socio-economic and cultural value) is scarce due to the difficulty of achieving taxonomic determination of fragmented and/or worked remains. This study aims to obtain molecular barcodes based on peptide mass fingerprints (PMFs) of intracrystalline proteins, in order to obtain shell identification. Palaeoproteomic applications on shells are challenging, due to low concentration of molluscan proteins and an incomplete understanding of their sequences. We explore different approaches for protein extraction from small-size samples (

Details

Language :
English
ISSN :
18743919 and 18767737
Database :
OpenAIRE
Journal :
Journal of Proteomics, Journal of Proteomics, Elsevier, 2020, 227, pp.103920. ⟨10.1016/j.jprot.2020.103920⟩
Accession number :
edsair.doi.dedup.....fe22d4a1bc2952ce5911ce4f99b1513a