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Metagenomic characterization of ambulances across the USA

BACKGROUND: Microbial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this a...

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Autores principales: O’Hara, Niamh B., Reed, Harry J., Afshinnekoo, Ebrahim, Harvin, Donell, Caplan, Nora, Rosen, Gail, Frye, Brook, Woloszynek, Stephen, Ounit, Rachid, Levy, Shawn, Butler, Erin, Mason, Christopher E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610413/
https://www.ncbi.nlm.nih.gov/pubmed/28938903
http://dx.doi.org/10.1186/s40168-017-0339-6
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author O’Hara, Niamh B.
Reed, Harry J.
Afshinnekoo, Ebrahim
Harvin, Donell
Caplan, Nora
Rosen, Gail
Frye, Brook
Woloszynek, Stephen
Ounit, Rachid
Levy, Shawn
Butler, Erin
Mason, Christopher E.
author_facet O’Hara, Niamh B.
Reed, Harry J.
Afshinnekoo, Ebrahim
Harvin, Donell
Caplan, Nora
Rosen, Gail
Frye, Brook
Woloszynek, Stephen
Ounit, Rachid
Levy, Shawn
Butler, Erin
Mason, Christopher E.
author_sort O’Hara, Niamh B.
collection PubMed
description BACKGROUND: Microbial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals. RESULTS: We sequenced 398 samples from 137 ambulances across the USA using shotgun sequencing. We analyzed these data to explore the microbial ecology of ambulances including characterizing microbial community composition, nosocomial pathogens, patterns of diversity, presence of functional pathways and antimicrobial resistance, and potential spatial and environmental factors that may contribute to community composition. We found that the top 10 most abundant species are either common built environment microbes, microbes associated with the human microbiome (e.g., skin), or are species associated with nosocomial infections. We also found widespread evidence of antimicrobial resistance markers (hits ~ 90% samples). We identified six factors that may influence the microbial ecology of ambulances including ambulance surfaces, geographical-related factors (including region, longitude, and latitude), and weather-related factors (including temperature and precipitation). CONCLUSIONS: While the vast majority of microbial species classified were beneficial, we also found widespread evidence of species associated with nosocomial infections and antimicrobial resistance markers. This study indicates that metagenomics may be useful to characterize the microbial ecology of pre-hospital ambulance settings and that more rigorous testing and cleaning of ambulances may be warranted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0339-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-56104132017-10-10 Metagenomic characterization of ambulances across the USA O’Hara, Niamh B. Reed, Harry J. Afshinnekoo, Ebrahim Harvin, Donell Caplan, Nora Rosen, Gail Frye, Brook Woloszynek, Stephen Ounit, Rachid Levy, Shawn Butler, Erin Mason, Christopher E. Microbiome Research BACKGROUND: Microbial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals. RESULTS: We sequenced 398 samples from 137 ambulances across the USA using shotgun sequencing. We analyzed these data to explore the microbial ecology of ambulances including characterizing microbial community composition, nosocomial pathogens, patterns of diversity, presence of functional pathways and antimicrobial resistance, and potential spatial and environmental factors that may contribute to community composition. We found that the top 10 most abundant species are either common built environment microbes, microbes associated with the human microbiome (e.g., skin), or are species associated with nosocomial infections. We also found widespread evidence of antimicrobial resistance markers (hits ~ 90% samples). We identified six factors that may influence the microbial ecology of ambulances including ambulance surfaces, geographical-related factors (including region, longitude, and latitude), and weather-related factors (including temperature and precipitation). CONCLUSIONS: While the vast majority of microbial species classified were beneficial, we also found widespread evidence of species associated with nosocomial infections and antimicrobial resistance markers. This study indicates that metagenomics may be useful to characterize the microbial ecology of pre-hospital ambulance settings and that more rigorous testing and cleaning of ambulances may be warranted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0339-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-22 /pmc/articles/PMC5610413/ /pubmed/28938903 http://dx.doi.org/10.1186/s40168-017-0339-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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
O’Hara, Niamh B.
Reed, Harry J.
Afshinnekoo, Ebrahim
Harvin, Donell
Caplan, Nora
Rosen, Gail
Frye, Brook
Woloszynek, Stephen
Ounit, Rachid
Levy, Shawn
Butler, Erin
Mason, Christopher E.
Metagenomic characterization of ambulances across the USA
title Metagenomic characterization of ambulances across the USA
title_full Metagenomic characterization of ambulances across the USA
title_fullStr Metagenomic characterization of ambulances across the USA
title_full_unstemmed Metagenomic characterization of ambulances across the USA
title_short Metagenomic characterization of ambulances across the USA
title_sort metagenomic characterization of ambulances across the usa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610413/
https://www.ncbi.nlm.nih.gov/pubmed/28938903
http://dx.doi.org/10.1186/s40168-017-0339-6
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