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Characterizing the postmortem human bone microbiome from surface-decomposed remains

Microbial colonization of bone is an important mechanism of postmortem skeletal degradation. However, the types and distributions of bone and tooth colonizing microbes are not well characterized. It is unknown if microbial communities vary in abundance or composition between bone element types, whic...

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Autores principales: Emmons, Alexandra L., Mundorff, Amy Z., Keenan, Sarah W., Davoren, Jonathan, Andronowski, Janna, Carter, David O., DeBruyn, Jennifer M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343130/
https://www.ncbi.nlm.nih.gov/pubmed/32639969
http://dx.doi.org/10.1371/journal.pone.0218636
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author Emmons, Alexandra L.
Mundorff, Amy Z.
Keenan, Sarah W.
Davoren, Jonathan
Andronowski, Janna
Carter, David O.
DeBruyn, Jennifer M.
author_facet Emmons, Alexandra L.
Mundorff, Amy Z.
Keenan, Sarah W.
Davoren, Jonathan
Andronowski, Janna
Carter, David O.
DeBruyn, Jennifer M.
author_sort Emmons, Alexandra L.
collection PubMed
description Microbial colonization of bone is an important mechanism of postmortem skeletal degradation. However, the types and distributions of bone and tooth colonizing microbes are not well characterized. It is unknown if microbial communities vary in abundance or composition between bone element types, which could help explain differences in human DNA preservation. The goals of the present study were to (1) identify the types of microbes capable of colonizing different human bone types and (2) relate microbial abundances, diversity, and community composition to bone type and human DNA preservation. DNA extracts from 165 bone and tooth samples from three skeletonized individuals were assessed for bacterial loading and microbial community composition and structure. Random forest models were applied to predict operational taxonomic units (OTUs) associated with human DNA concentration. Dominant bacterial bone colonizers were from the phyla Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Planctomycetes. Eukaryotic bone colonizers were from Ascomycota, Apicomplexa, Annelida, Basidiomycota, and Ciliophora. Bacterial loading was not a significant predictor of human DNA concentration in two out of three individuals. Random forest models were minimally successful in identifying microbes related to human DNA concentration, which were complicated by high variability in community structure between individuals and body regions. This work expands on our understanding of the types of microbes capable of colonizing the postmortem human skeleton and potentially contributing to human skeletal DNA degradation.
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spelling pubmed-73431302020-07-17 Characterizing the postmortem human bone microbiome from surface-decomposed remains Emmons, Alexandra L. Mundorff, Amy Z. Keenan, Sarah W. Davoren, Jonathan Andronowski, Janna Carter, David O. DeBruyn, Jennifer M. PLoS One Research Article Microbial colonization of bone is an important mechanism of postmortem skeletal degradation. However, the types and distributions of bone and tooth colonizing microbes are not well characterized. It is unknown if microbial communities vary in abundance or composition between bone element types, which could help explain differences in human DNA preservation. The goals of the present study were to (1) identify the types of microbes capable of colonizing different human bone types and (2) relate microbial abundances, diversity, and community composition to bone type and human DNA preservation. DNA extracts from 165 bone and tooth samples from three skeletonized individuals were assessed for bacterial loading and microbial community composition and structure. Random forest models were applied to predict operational taxonomic units (OTUs) associated with human DNA concentration. Dominant bacterial bone colonizers were from the phyla Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Planctomycetes. Eukaryotic bone colonizers were from Ascomycota, Apicomplexa, Annelida, Basidiomycota, and Ciliophora. Bacterial loading was not a significant predictor of human DNA concentration in two out of three individuals. Random forest models were minimally successful in identifying microbes related to human DNA concentration, which were complicated by high variability in community structure between individuals and body regions. This work expands on our understanding of the types of microbes capable of colonizing the postmortem human skeleton and potentially contributing to human skeletal DNA degradation. Public Library of Science 2020-07-08 /pmc/articles/PMC7343130/ /pubmed/32639969 http://dx.doi.org/10.1371/journal.pone.0218636 Text en © 2020 Emmons et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Emmons, Alexandra L.
Mundorff, Amy Z.
Keenan, Sarah W.
Davoren, Jonathan
Andronowski, Janna
Carter, David O.
DeBruyn, Jennifer M.
Characterizing the postmortem human bone microbiome from surface-decomposed remains
title Characterizing the postmortem human bone microbiome from surface-decomposed remains
title_full Characterizing the postmortem human bone microbiome from surface-decomposed remains
title_fullStr Characterizing the postmortem human bone microbiome from surface-decomposed remains
title_full_unstemmed Characterizing the postmortem human bone microbiome from surface-decomposed remains
title_short Characterizing the postmortem human bone microbiome from surface-decomposed remains
title_sort characterizing the postmortem human bone microbiome from surface-decomposed remains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343130/
https://www.ncbi.nlm.nih.gov/pubmed/32639969
http://dx.doi.org/10.1371/journal.pone.0218636
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