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Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching

BACKGROUND: The human skin microbiome has been recently investigated as a potential forensic tool, as people leave traces of their potentially unique microbiomes on objects and surfaces with which they interact. In this metagenomic study of four people in Hong Kong, their homes, and public surfaces...

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Autores principales: Wilkins, David, Tong, Xinzhao, Leung, Marcus H. Y., Mason, Christopher E., Lee, Patrick K. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180031/
https://www.ncbi.nlm.nih.gov/pubmed/34090519
http://dx.doi.org/10.1186/s40168-021-01082-1
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author Wilkins, David
Tong, Xinzhao
Leung, Marcus H. Y.
Mason, Christopher E.
Lee, Patrick K. H.
author_facet Wilkins, David
Tong, Xinzhao
Leung, Marcus H. Y.
Mason, Christopher E.
Lee, Patrick K. H.
author_sort Wilkins, David
collection PubMed
description BACKGROUND: The human skin microbiome has been recently investigated as a potential forensic tool, as people leave traces of their potentially unique microbiomes on objects and surfaces with which they interact. In this metagenomic study of four people in Hong Kong, their homes, and public surfaces in their neighbourhoods, we investigated the stability and identifiability of these microbiota traces on a timescale of hours to days. RESULTS: Using a Canberra distance-based method of comparing skin and surface microbiomes, we found that a person could be accurately matched to their household in 84% of tests and to their neighbourhood in 50% of tests, and that matching accuracy did not decay for household surfaces over the 10-day study period, although it did for public surfaces. The time of day at which a skin or surface sample was taken affected matching accuracy, and 160 species across all sites were found to have a significant variation in abundance between morning and evening samples. We hypothesised that daily routines drive a rhythm of daytime dispersal from the pooled public surface microbiome followed by normalisation of a person’s microbiome by contact with their household microbial reservoir, and Dynamic Bayesian Networks (DBNs) supported dispersal from public surfaces to skin as the major dispersal route among all sites studied. CONCLUSIONS: These results suggest that in addition to considering the decay of microbiota traces with time, diurnal patterns in microbiome exposure that contribute to the human skin microbiome assemblage must also be considered in developing this as a potential forensic method. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01082-1.
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spelling pubmed-81800312021-06-07 Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching Wilkins, David Tong, Xinzhao Leung, Marcus H. Y. Mason, Christopher E. Lee, Patrick K. H. Microbiome Research BACKGROUND: The human skin microbiome has been recently investigated as a potential forensic tool, as people leave traces of their potentially unique microbiomes on objects and surfaces with which they interact. In this metagenomic study of four people in Hong Kong, their homes, and public surfaces in their neighbourhoods, we investigated the stability and identifiability of these microbiota traces on a timescale of hours to days. RESULTS: Using a Canberra distance-based method of comparing skin and surface microbiomes, we found that a person could be accurately matched to their household in 84% of tests and to their neighbourhood in 50% of tests, and that matching accuracy did not decay for household surfaces over the 10-day study period, although it did for public surfaces. The time of day at which a skin or surface sample was taken affected matching accuracy, and 160 species across all sites were found to have a significant variation in abundance between morning and evening samples. We hypothesised that daily routines drive a rhythm of daytime dispersal from the pooled public surface microbiome followed by normalisation of a person’s microbiome by contact with their household microbial reservoir, and Dynamic Bayesian Networks (DBNs) supported dispersal from public surfaces to skin as the major dispersal route among all sites studied. CONCLUSIONS: These results suggest that in addition to considering the decay of microbiota traces with time, diurnal patterns in microbiome exposure that contribute to the human skin microbiome assemblage must also be considered in developing this as a potential forensic method. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01082-1. BioMed Central 2021-06-05 /pmc/articles/PMC8180031/ /pubmed/34090519 http://dx.doi.org/10.1186/s40168-021-01082-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wilkins, David
Tong, Xinzhao
Leung, Marcus H. Y.
Mason, Christopher E.
Lee, Patrick K. H.
Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title_full Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title_fullStr Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title_full_unstemmed Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title_short Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
title_sort diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180031/
https://www.ncbi.nlm.nih.gov/pubmed/34090519
http://dx.doi.org/10.1186/s40168-021-01082-1
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