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Quantitative metaproteomics of medieval dental calculus reveals individual oral health status

The composition of ancient oral microbiomes has recently become accessible owing to advanced biomolecular methods such as metagenomics and metaproteomics, but the utility of metaproteomics for such analyses is less explored. Here, we use quantitative metaproteomics to characterize the dental calculu...

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Autores principales: Jersie-Christensen, Rosa R., Lanigan, Liam T., Lyon, David, Mackie, Meaghan, Belstrøm, Daniel, Kelstrup, Christian D., Fotakis, Anna K., Willerslev, Eske, Lynnerup, Niels, Jensen, Lars J., Cappellini, Enrico, Olsen, Jesper V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6246597/
https://www.ncbi.nlm.nih.gov/pubmed/30459334
http://dx.doi.org/10.1038/s41467-018-07148-3
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author Jersie-Christensen, Rosa R.
Lanigan, Liam T.
Lyon, David
Mackie, Meaghan
Belstrøm, Daniel
Kelstrup, Christian D.
Fotakis, Anna K.
Willerslev, Eske
Lynnerup, Niels
Jensen, Lars J.
Cappellini, Enrico
Olsen, Jesper V.
author_facet Jersie-Christensen, Rosa R.
Lanigan, Liam T.
Lyon, David
Mackie, Meaghan
Belstrøm, Daniel
Kelstrup, Christian D.
Fotakis, Anna K.
Willerslev, Eske
Lynnerup, Niels
Jensen, Lars J.
Cappellini, Enrico
Olsen, Jesper V.
author_sort Jersie-Christensen, Rosa R.
collection PubMed
description The composition of ancient oral microbiomes has recently become accessible owing to advanced biomolecular methods such as metagenomics and metaproteomics, but the utility of metaproteomics for such analyses is less explored. Here, we use quantitative metaproteomics to characterize the dental calculus associated with the remains of 21 humans retrieved during the archeological excavation of the medieval (ca. 1100–1450 CE) cemetery of Tjærby, Denmark. We identify 3671 protein groups, covering 220 bacterial species and 81 genera across all medieval samples. The metaproteome profiles of bacterial and human proteins suggest two distinct groups of archeological remains corresponding to health-predisposed and oral disease-susceptible individuals, which is supported by comparison to the calculus metaproteomes of healthy living individuals. Notably, the groupings identified by metaproteomics are not apparent from the bioarchaeological analysis, illustrating that quantitative metaproteomics has the potential to provide additional levels of molecular information about the oral health status of individuals from archeological contexts.
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spelling pubmed-62465972018-11-26 Quantitative metaproteomics of medieval dental calculus reveals individual oral health status Jersie-Christensen, Rosa R. Lanigan, Liam T. Lyon, David Mackie, Meaghan Belstrøm, Daniel Kelstrup, Christian D. Fotakis, Anna K. Willerslev, Eske Lynnerup, Niels Jensen, Lars J. Cappellini, Enrico Olsen, Jesper V. Nat Commun Article The composition of ancient oral microbiomes has recently become accessible owing to advanced biomolecular methods such as metagenomics and metaproteomics, but the utility of metaproteomics for such analyses is less explored. Here, we use quantitative metaproteomics to characterize the dental calculus associated with the remains of 21 humans retrieved during the archeological excavation of the medieval (ca. 1100–1450 CE) cemetery of Tjærby, Denmark. We identify 3671 protein groups, covering 220 bacterial species and 81 genera across all medieval samples. The metaproteome profiles of bacterial and human proteins suggest two distinct groups of archeological remains corresponding to health-predisposed and oral disease-susceptible individuals, which is supported by comparison to the calculus metaproteomes of healthy living individuals. Notably, the groupings identified by metaproteomics are not apparent from the bioarchaeological analysis, illustrating that quantitative metaproteomics has the potential to provide additional levels of molecular information about the oral health status of individuals from archeological contexts. Nature Publishing Group UK 2018-11-20 /pmc/articles/PMC6246597/ /pubmed/30459334 http://dx.doi.org/10.1038/s41467-018-07148-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jersie-Christensen, Rosa R.
Lanigan, Liam T.
Lyon, David
Mackie, Meaghan
Belstrøm, Daniel
Kelstrup, Christian D.
Fotakis, Anna K.
Willerslev, Eske
Lynnerup, Niels
Jensen, Lars J.
Cappellini, Enrico
Olsen, Jesper V.
Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title_full Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title_fullStr Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title_full_unstemmed Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title_short Quantitative metaproteomics of medieval dental calculus reveals individual oral health status
title_sort quantitative metaproteomics of medieval dental calculus reveals individual oral health status
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6246597/
https://www.ncbi.nlm.nih.gov/pubmed/30459334
http://dx.doi.org/10.1038/s41467-018-07148-3
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