title: Characterizing the bacterial communities in retail stores in the United States.
abstract: The microorganisms present in retail environments have not been studied in detail despite the fact that these environments represent a potentially important location for exposure. In this study, HVAC filter dust samples in 13 US retail stores were collected and analyzed via pyrosequencing to characterize the indoor bacterial communities and to explore potential relationships between these communities and building and environmental parameters. Although retail stores contained a diverse bacterial community of 788 unique genera, over half of the nearly 118K sequences were attributed to the Proteobacteria phylum. Streptophyta, Bacillus, Corynebacterium, Pseudomonas, and Acinetobacter were the most prevalent genera detected. The recovered indoor airborne microbial community was statistically associated with both human oral and skin microbiota, indicating occupants are important contributors, despite a relatively low occupant density per unit volume in retail stores. Bacteria generally associated with outdoor environments were present in the indoor communities with no obvious association with air exchange rate, even when considering relative abundance. No significant association was observed between the indoor bacterial community recovered and store location, store type, or season. However, predictive functional gene profiling showed significant associations between the indoor community and season. The microbiome recovered from multiple samples collected months apart from the same building varied significantly indicating that caution is warranted when trying to characterize the bacterial community with a single sampling event.
authors.affiliation: Department of Civil and Environmental Engineering, The United States Air Force Academy, Colorado Springs, CO, USA.
authors.forename: A
authors.initials: A
authors.lastname: Hoisington
authors.affiliation: Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA.
authors.forename: J P
authors.identifier: 0000-0001-6766-6462
authors.initials: JP
authors.lastname: Maestre
authors.affiliation: Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA.
authors.forename: K A
authors.initials: KA
authors.lastname: Kinney
authors.affiliation: Department of Civil Engineering, University of Toronto, Toronto, ON, Canada.|Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
authors.forename: J A
authors.initials: JA
authors.lastname: Siegel
mesh_terms: D000391:Air Microbiology; D000393:Air Pollutants / Q000032:analysis*; D016902:Air Pollution, Indoor / Q000032:analysis*; D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000302:isolation & purification*; D003132:Commerce; D004269:DNA, Bacterial / Q000235:genetics; D004784:Environmental Monitoring; D006801:Humans; D064307:Microbiota / Q000235:genetics*; D014481:United States; D014691:Ventilation
chemical_list: D000393:Air Pollutants; D004269:DNA, Bacterial
keywords: 16S; Bacteria; HVAC filter dust; Human microbiome; Pyrosequencing; Retail stores