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Forensic analysis of the microbiome of phones and shoes

BACKGROUND: Microbial interaction between human-associated objects and the environments we inhabit may have forensic implications, and the extent to which microbes are shared between individuals inhabiting the same space may be relevant to human health and disease transmission. In this study, two pa...

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Autores principales: Lax, Simon, Hampton-Marcell, Jarrad T, Gibbons, Sean M, Colares, Geórgia Barguil, Smith, Daniel, Eisen, Jonathan A, Gilbert, Jack A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427962/
https://www.ncbi.nlm.nih.gov/pubmed/25969737
http://dx.doi.org/10.1186/s40168-015-0082-9
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author Lax, Simon
Hampton-Marcell, Jarrad T
Gibbons, Sean M
Colares, Geórgia Barguil
Smith, Daniel
Eisen, Jonathan A
Gilbert, Jack A
author_facet Lax, Simon
Hampton-Marcell, Jarrad T
Gibbons, Sean M
Colares, Geórgia Barguil
Smith, Daniel
Eisen, Jonathan A
Gilbert, Jack A
author_sort Lax, Simon
collection PubMed
description BACKGROUND: Microbial interaction between human-associated objects and the environments we inhabit may have forensic implications, and the extent to which microbes are shared between individuals inhabiting the same space may be relevant to human health and disease transmission. In this study, two participants sampled the front and back of their cell phones, four different locations on the soles of their shoes, and the floor beneath them every waking hour over a 2-day period. A further 89 participants took individual samples of their shoes and phones at three different scientific conferences. RESULTS: Samples taken from different surface types maintained significantly different microbial community structures. The impact of the floor microbial community on that of the shoe environments was strong and immediate, as evidenced by Procrustes analysis of shoe replicates and significant correlation between shoe and floor samples taken at the same time point. Supervised learning was highly effective at determining which participant had taken a given shoe or phone sample, and a Bayesian method was able to determine which participant had taken each shoe sample based entirely on its similarity to the floor samples. Both shoe and phone samples taken by conference participants clustered into distinct groups based on location, though much more so when an unweighted distance metric was used, suggesting sharing of low-abundance microbial taxa between individuals inhabiting the same space. CONCLUSIONS: Correlations between microbial community sources and sinks allow for inference of the interactions between humans and their environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-015-0082-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-44279622015-05-13 Forensic analysis of the microbiome of phones and shoes Lax, Simon Hampton-Marcell, Jarrad T Gibbons, Sean M Colares, Geórgia Barguil Smith, Daniel Eisen, Jonathan A Gilbert, Jack A Microbiome Research BACKGROUND: Microbial interaction between human-associated objects and the environments we inhabit may have forensic implications, and the extent to which microbes are shared between individuals inhabiting the same space may be relevant to human health and disease transmission. In this study, two participants sampled the front and back of their cell phones, four different locations on the soles of their shoes, and the floor beneath them every waking hour over a 2-day period. A further 89 participants took individual samples of their shoes and phones at three different scientific conferences. RESULTS: Samples taken from different surface types maintained significantly different microbial community structures. The impact of the floor microbial community on that of the shoe environments was strong and immediate, as evidenced by Procrustes analysis of shoe replicates and significant correlation between shoe and floor samples taken at the same time point. Supervised learning was highly effective at determining which participant had taken a given shoe or phone sample, and a Bayesian method was able to determine which participant had taken each shoe sample based entirely on its similarity to the floor samples. Both shoe and phone samples taken by conference participants clustered into distinct groups based on location, though much more so when an unweighted distance metric was used, suggesting sharing of low-abundance microbial taxa between individuals inhabiting the same space. CONCLUSIONS: Correlations between microbial community sources and sinks allow for inference of the interactions between humans and their environment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-015-0082-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-12 /pmc/articles/PMC4427962/ /pubmed/25969737 http://dx.doi.org/10.1186/s40168-015-0082-9 Text en © Lax et al.; licensee BioMed Central. 2015 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lax, Simon
Hampton-Marcell, Jarrad T
Gibbons, Sean M
Colares, Geórgia Barguil
Smith, Daniel
Eisen, Jonathan A
Gilbert, Jack A
Forensic analysis of the microbiome of phones and shoes
title Forensic analysis of the microbiome of phones and shoes
title_full Forensic analysis of the microbiome of phones and shoes
title_fullStr Forensic analysis of the microbiome of phones and shoes
title_full_unstemmed Forensic analysis of the microbiome of phones and shoes
title_short Forensic analysis of the microbiome of phones and shoes
title_sort forensic analysis of the microbiome of phones and shoes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427962/
https://www.ncbi.nlm.nih.gov/pubmed/25969737
http://dx.doi.org/10.1186/s40168-015-0082-9
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