Literature DB >> 33160104

On the standardization of ZooMS nomenclature.

Samantha Brown1, Katerina Douka2, Matthew J Collins3, Kristine Korzow Richter4.   

Abstract

Zooarchaeology by Mass Spectrometry (ZooMS) is rapidly becoming a staple in archaeological and cultural heritage science. Developed a decade ago, this peptide mass fingerprinting technique is expanding from a small group of researchers mainly involved in method development to a broader group of scientists using it as another tool in their toolboxes. With new researchers beginning to use the method, it is imperative that a user-friendly, standardized approach be established. A major barrier has been the often haphazard and changing nomenclature used to label peptide markers necessary for taxonomic identification. Consistent, reliable, and easy-to-understand nomenclature is key to the growth of ZooMS, particularly as the reference library continues to expand. We propose a new set of standardized guidelines for peptide markers based on their position in the type I collagen sequence from the beginning of the highly conserved, helical region. Since this region has no insertions or deletions over a wide range of taxonomic groups, the proposed nomenclature system can be used reliably and consistently across all vertebrate taxa. We propose to label ZooMS peptide markers with the gene, followed by the position of the first and last amino acid of the marker from the start of the helical region. SIGNIFICANCE STATEMENT: We propose a standardized nomenclature system for ZooMS peptide markers that provides consistent labels across multiple, broad taxonomic groups. This system unambiguously locates the marker peptides in the type I collagen sequence, avoids duplication of marker names, and facilitates the creation of large ZooMS databases which can include all vertebrates.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Collagen; MALDI-TOF-MS; Peptide mass fingerprinting; ZooMS; Zooarcheology

Mesh:

Substances:

Year:  2020        PMID: 33160104     DOI: 10.1016/j.jprot.2020.104041

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

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Authors:  Christina Warinner; Kristine Korzow Richter; Matthew J Collins
Journal:  Chem Rev       Date:  2022-07-15       Impact factor: 72.087

Review 2.  A primer for ZooMS applications in archaeology.

Authors:  Kristine Korzow Richter; Maria C Codlin; Melina Seabrook; Christina Warinner
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-10       Impact factor: 12.779

Review 3.  Leveraging palaeoproteomics to address conservation and restoration agendas.

Authors:  Carli Peters; Kristine K Richter; Jens-Christian Svenning; Nicole Boivin
Journal:  iScience       Date:  2022-04-04

4.  SPIN enables high throughput species identification of archaeological bone by proteomics.

Authors:  Patrick Leopold Rüther; Immanuel Mirnes Husic; Pernille Bangsgaard; Kristian Murphy Gregersen; Pernille Pantmann; Milena Carvalho; Ricardo Miguel Godinho; Lukas Friedl; João Cascalheira; Alberto John Taurozzi; Marie Louise Schjellerup Jørkov; Michael M Benedetti; Jonathan Haws; Nuno Bicho; Frido Welker; Enrico Cappellini; Jesper Velgaard Olsen
Journal:  Nat Commun       Date:  2022-05-05       Impact factor: 17.694

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

Authors:  Katrien Dierickx; Samantha Presslee; Richard Hagan; Tarek Oueslati; Jennifer Harland; Jessica Hendy; David Orton; Michelle Alexander; Virginia L Harvey
Journal:  R Soc Open Sci       Date:  2022-07-27       Impact factor: 3.653

6.  Zooarchaeology through the lens of collagen fingerprinting at Denisova Cave.

Authors:  Samantha Brown; Naihui Wang; Annette Oertle; Maxim B Kozlikin; Michael V Shunkov; Anatoly P Derevianko; Daniel Comeskey; Blair Jope-Street; Virginia L Harvey; Manasij Pal Chowdhury; Michael Buckley; Thomas Higham; Katerina Douka
Journal:  Sci Rep       Date:  2021-07-29       Impact factor: 4.379

  6 in total

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