Cargando…

Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City

In densely populated urban environments, the distribution of microbes and the drivers of microbial community assemblages are not well understood. In sprawling metropolitan habitats, the “urban microbiome” may represent a mix of human-associated and environmental taxa. Here we carried out a baseline...

Descripción completa

Detalles Bibliográficos
Autores principales: Bik, Holly M., Maritz, Julia M., Luong, Albert, Shin, Hakdong, Dominguez-Bello, Maria Gloria, Carlton, Jane M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112336/
https://www.ncbi.nlm.nih.gov/pubmed/27904880
http://dx.doi.org/10.1128/mSphere.00226-16
_version_ 1782467976789753856
author Bik, Holly M.
Maritz, Julia M.
Luong, Albert
Shin, Hakdong
Dominguez-Bello, Maria Gloria
Carlton, Jane M.
author_facet Bik, Holly M.
Maritz, Julia M.
Luong, Albert
Shin, Hakdong
Dominguez-Bello, Maria Gloria
Carlton, Jane M.
author_sort Bik, Holly M.
collection PubMed
description In densely populated urban environments, the distribution of microbes and the drivers of microbial community assemblages are not well understood. In sprawling metropolitan habitats, the “urban microbiome” may represent a mix of human-associated and environmental taxa. Here we carried out a baseline study of automated teller machine (ATM) keypads in New York City (NYC). Our goal was to describe the biodiversity and biogeography of both prokaryotic and eukaryotic microbes in an urban setting while assessing the potential source of microbial assemblages on ATM keypads. Microbial swab samples were collected from three boroughs (Manhattan, Queens, and Brooklyn) during June and July 2014, followed by generation of Illumina MiSeq datasets for bacterial (16S rRNA) and eukaryotic (18S rRNA) marker genes. Downstream analysis was carried out in the QIIME pipeline, in conjunction with neighborhood metadata (ethnicity, population, age groups) from the NYC Open Data portal. Neither the 16S nor 18S rRNA datasets showed any clustering patterns related to geography or neighborhood demographics. Bacterial assemblages on ATM keypads were dominated by taxonomic groups known to be associated with human skin communities (Actinobacteria, Bacteroides, Firmicutes, and Proteobacteria), although SourceTracker analysis was unable to identify the source habitat for the majority of taxa. Eukaryotic assemblages were dominated by fungal taxa as well as by a low-diversity protist community containing both free-living and potentially pathogenic taxa (Toxoplasma, Trichomonas). Our results suggest that ATM keypads amalgamate microbial assemblages from different sources, including the human microbiome, eukaryotic food species, and potentially novel extremophilic taxa adapted to air or surfaces in the built environment. DNA obtained from ATM keypads may thus provide a record of both human behavior and environmental sources of microbes. IMPORTANCE Automated teller machine (ATM) keypads represent a specific and unexplored microhabitat for microbial communities. Although the number of built environment and urban microbial ecology studies has expanded greatly in recent years, the majority of research to date has focused on mass transit systems, city soils, and plumbing and ventilation systems in buildings. ATM surfaces, potentially retaining microbial signatures of human inhabitants, including both commensal taxa and pathogens, are interesting from both a biodiversity perspective and a public health perspective. By focusing on ATM keypads in different geographic areas of New York City with distinct population demographics, we aimed to characterize the diversity and distribution of both prokaryotic and eukaryotic microbes, thus making a unique contribution to the growing body of work focused on the “urban microbiome.” In New York City, the surface area of urban surfaces in Manhattan far exceeds the geographic area of the island itself. We have only just begun to describe the vast array of microbial taxa that are likely to be present across diverse types of urban habitats.
format Online
Article
Text
id pubmed-5112336
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-51123362016-11-30 Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City Bik, Holly M. Maritz, Julia M. Luong, Albert Shin, Hakdong Dominguez-Bello, Maria Gloria Carlton, Jane M. mSphere Research Article In densely populated urban environments, the distribution of microbes and the drivers of microbial community assemblages are not well understood. In sprawling metropolitan habitats, the “urban microbiome” may represent a mix of human-associated and environmental taxa. Here we carried out a baseline study of automated teller machine (ATM) keypads in New York City (NYC). Our goal was to describe the biodiversity and biogeography of both prokaryotic and eukaryotic microbes in an urban setting while assessing the potential source of microbial assemblages on ATM keypads. Microbial swab samples were collected from three boroughs (Manhattan, Queens, and Brooklyn) during June and July 2014, followed by generation of Illumina MiSeq datasets for bacterial (16S rRNA) and eukaryotic (18S rRNA) marker genes. Downstream analysis was carried out in the QIIME pipeline, in conjunction with neighborhood metadata (ethnicity, population, age groups) from the NYC Open Data portal. Neither the 16S nor 18S rRNA datasets showed any clustering patterns related to geography or neighborhood demographics. Bacterial assemblages on ATM keypads were dominated by taxonomic groups known to be associated with human skin communities (Actinobacteria, Bacteroides, Firmicutes, and Proteobacteria), although SourceTracker analysis was unable to identify the source habitat for the majority of taxa. Eukaryotic assemblages were dominated by fungal taxa as well as by a low-diversity protist community containing both free-living and potentially pathogenic taxa (Toxoplasma, Trichomonas). Our results suggest that ATM keypads amalgamate microbial assemblages from different sources, including the human microbiome, eukaryotic food species, and potentially novel extremophilic taxa adapted to air or surfaces in the built environment. DNA obtained from ATM keypads may thus provide a record of both human behavior and environmental sources of microbes. IMPORTANCE Automated teller machine (ATM) keypads represent a specific and unexplored microhabitat for microbial communities. Although the number of built environment and urban microbial ecology studies has expanded greatly in recent years, the majority of research to date has focused on mass transit systems, city soils, and plumbing and ventilation systems in buildings. ATM surfaces, potentially retaining microbial signatures of human inhabitants, including both commensal taxa and pathogens, are interesting from both a biodiversity perspective and a public health perspective. By focusing on ATM keypads in different geographic areas of New York City with distinct population demographics, we aimed to characterize the diversity and distribution of both prokaryotic and eukaryotic microbes, thus making a unique contribution to the growing body of work focused on the “urban microbiome.” In New York City, the surface area of urban surfaces in Manhattan far exceeds the geographic area of the island itself. We have only just begun to describe the vast array of microbial taxa that are likely to be present across diverse types of urban habitats. American Society for Microbiology 2016-11-16 /pmc/articles/PMC5112336/ /pubmed/27904880 http://dx.doi.org/10.1128/mSphere.00226-16 Text en Copyright © 2016 Bik et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Bik, Holly M.
Maritz, Julia M.
Luong, Albert
Shin, Hakdong
Dominguez-Bello, Maria Gloria
Carlton, Jane M.
Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title_full Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title_fullStr Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title_full_unstemmed Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title_short Microbial Community Patterns Associated with Automated Teller Machine Keypads in New York City
title_sort microbial community patterns associated with automated teller machine keypads in new york city
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112336/
https://www.ncbi.nlm.nih.gov/pubmed/27904880
http://dx.doi.org/10.1128/mSphere.00226-16
work_keys_str_mv AT bikhollym microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity
AT maritzjuliam microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity
AT luongalbert microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity
AT shinhakdong microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity
AT dominguezbellomariagloria microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity
AT carltonjanem microbialcommunitypatternsassociatedwithautomatedtellermachinekeypadsinnewyorkcity