Metagenomic characterization of ambulances across the USA

Abstract 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 use...

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Main Authors: Niamh B. O’Hara, Harry J. Reed, Ebrahim Afshinnekoo, Donell Harvin, Nora Caplan, Gail Rosen, Brook Frye, Stephen Woloszynek, Rachid Ounit, Shawn Levy, Erin Butler, Christopher E. Mason
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Microbiome
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40168-017-0339-6
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spelling doaj-c8f47af631634d338cee740480d6ed6f2020-11-25T00:45:39ZengBMCMicrobiome2049-26182017-09-015112010.1186/s40168-017-0339-6Metagenomic characterization of ambulances across the USANiamh B. O’Hara0Harry J. Reed1Ebrahim Afshinnekoo2Donell Harvin3Nora Caplan4Gail Rosen5Brook Frye6Stephen Woloszynek7Rachid Ounit8Shawn Levy9Erin Butler10Christopher E. Mason11Jacobs Technion-Cornell Institute, Cornell TechDepartment of Physiology and Biophysics, Weill Cornell MedicineDepartment of Physiology and Biophysics, Weill Cornell MedicineSUNY Downstate Medical Center, State University of New YorkSUNY Downstate Medical Center, State University of New YorkElectrical and Computer Engineering, Drexel UniversitySchool of Public Health and Health Sciences, University of MassachusettsElectrical and Computer Engineering, Drexel UniversityDepartment of Computer Science and Engineering, University of CaliforniaHudson AlphaDepartment of Physiology and Biophysics, Weill Cornell MedicineDepartment of Physiology and Biophysics, Weill Cornell MedicineAbstract 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.http://link.springer.com/article/10.1186/s40168-017-0339-6AmbulanceClassificationTaxonomyPre-hospital settingHospital-acquired infectionsNosocomial pathogens
collection DOAJ
language English
format Article
sources DOAJ
author Niamh B. O’Hara
Harry J. Reed
Ebrahim Afshinnekoo
Donell Harvin
Nora Caplan
Gail Rosen
Brook Frye
Stephen Woloszynek
Rachid Ounit
Shawn Levy
Erin Butler
Christopher E. Mason
spellingShingle Niamh B. O’Hara
Harry J. Reed
Ebrahim Afshinnekoo
Donell Harvin
Nora Caplan
Gail Rosen
Brook Frye
Stephen Woloszynek
Rachid Ounit
Shawn Levy
Erin Butler
Christopher E. Mason
Metagenomic characterization of ambulances across the USA
Microbiome
Ambulance
Classification
Taxonomy
Pre-hospital setting
Hospital-acquired infections
Nosocomial pathogens
author_facet Niamh B. O’Hara
Harry J. Reed
Ebrahim Afshinnekoo
Donell Harvin
Nora Caplan
Gail Rosen
Brook Frye
Stephen Woloszynek
Rachid Ounit
Shawn Levy
Erin Butler
Christopher E. Mason
author_sort Niamh B. O’Hara
title Metagenomic characterization of ambulances across the USA
title_short 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_sort metagenomic characterization of ambulances across the usa
publisher BMC
series Microbiome
issn 2049-2618
publishDate 2017-09-01
description Abstract 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.
topic Ambulance
Classification
Taxonomy
Pre-hospital setting
Hospital-acquired infections
Nosocomial pathogens
url http://link.springer.com/article/10.1186/s40168-017-0339-6
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