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      Peptide mass fingerprinting of preserved collagen in archaeological fish bones for the identification of flatfish in European waters

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          Abstract

          Bones of Pleuronectiformes (flatfish) are often not identified to species due to the lack of diagnostic features on bones that allow adequate distinction between taxa. This hinders in-depth understanding of archaeological fish assemblages and particularly flatfish fisheries throughout history. This is especially true for the North Sea region, where several commercially significant species have been exploited for centuries, yet their archaeological remains continue to be understudied. In this research, eight peptide biomarkers for 18 different species of Pleuronectiformes from European waters are described using MALDI-TOF MS and liquid chromatography tandem mass spectrometry data obtained from modern reference specimens. Bone samples ( n = 202) from three archaeological sites in the UK and France dating to the medieval period ( ca seventh–sixteenth century CE) were analysed using zooarchaeology by mass spectrometry (ZooMS). Of the 201 that produced good quality spectra, 196 were identified as flatfish species, revealing a switch in targeted species through time and indicating that ZooMS offers a more reliable and informative approach for species identification than osteological methods alone. We recommend this approach for future studies of archaeological flatfish remains as the precise species uncovered from a site can tell much about the origin of the fish, where people fished and whether they traded between regions.

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          Probability-based protein identification by searching sequence databases using mass spectrometry data

          Several algorithms have been described in the literature for protein identification by searching a sequence database using mass spectrometry data. In some approaches, the experimental data are peptide molecular weights from the digestion of a protein by an enzyme. Other approaches use tandem mass spectrometry (MS/MS) data from one or more peptides. Still others combine mass data with amino acid sequence data. We present results from a new computer program, Mascot, which integrates all three types of search. The scoring algorithm is probability based, which has a number of advantages: (i) A simple rule can be used to judge whether a result is significant or not. This is particularly useful in guarding against false positives. (ii) Scores can be compared with those from other types of search, such as sequence homology. (iii) Search parameters can be readily optimised by iteration. The strengths and limitations of probability-based scoring are discussed, particularly in the context of high throughput, fully automated protein identification.
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            Species identification by analysis of bone collagen using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry.

            Species identification of fragmentary bone, such as in rendered meat and bone meal or from archaeological sites, is often difficult in the absence of clear morphological markers. Here we present a robust method of analysing genus-specific collagen peptides by mass spectrometry simply by using solid-phase extraction (a C18 ZipTip) for peptide purification, rather than liquid chromatography/mass spectrometry (LC/MS). Analysis of the collagen from 32 different mammal species identified a total of 92 peptide markers that could be used for species identification, for example, in processed food and animal feed. A set of ancient (>100 ka@10 degrees C) bone samples was also analysed to show that the proposed method has applications to archaeological bone identification. Copyright 2009 John Wiley & Sons, Ltd.
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              Unimod: Protein modifications for mass spectrometry.

              Unimod is a database of protein modifications for use in mass spectrometry applications, especially protein identification and de novo sequencing. It contains accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by both natural and artificial modifications.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                July 27, 2022
                July 2022
                July 27, 2022
                : 9
                : 7
                : 220149
                Affiliations
                [ 1 ] Department of Archaeology, University of York, , Heslington YO10 5DD, York, UK
                [ 2 ] Centre National de la Recherche Scientifique, University of Lille, , Lille, France
                [ 3 ] Archaeology Institute, University of the Highlands and Islands, , Kirkwall, UK
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.6098688.

                Author information
                http://orcid.org/0000-0002-9028-7652
                http://orcid.org/0000-0003-2936-525X
                http://orcid.org/0000-0003-1270-100X
                http://orcid.org/0000-0002-2886-085X
                http://orcid.org/0000-0002-4426-381X
                http://orcid.org/0000-0002-3718-1058
                http://orcid.org/0000-0003-4069-8004
                http://orcid.org/0000-0001-8000-3639
                http://orcid.org/0000-0003-0796-8287
                Article
                rsos220149
                10.1098/rsos.220149
                9326269
                35911190
                b0782549-712f-47bb-87db-34c4fd04e875
                © 2022 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : Feburary 11, 2022
                : July 6, 2022
                Funding
                Funded by: H2020 Marie Skłodowska-Curie Actions, http://dx.doi.org/10.13039/100010665;
                Award ID: 813383
                Categories
                1002
                1001
                15
                69
                70
                Earth and Environmental Science
                Research Articles

                zooms,zooarchaeology,ichthyoarchaeology,fish remains,mass spectrometry,pleuronectiformes

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