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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5610413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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