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      Comparative analysis of impact of human occupancy on indoor microbiomes

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          Abstract

          Educational facilities serve as community hubs and consequently hotspots for exposure to pathogenic microorganisms. Therefore, it is of critical importance to understand processes shaping the indoor microbiomes in educational facilities to protect public health by reducing potential exposure risks of students and the broader community. In this study, the indoor surface bacterial microbiomes were characterized in two multifunctional university buildings with contrasting levels of human occupancy, of which one was recently constructed with minimal human occupancy while the other had been in full operation for six years. Higher levels of human occupancy in the older building were shown to result in greater microbial abundance in the indoor environment and greater proportion of the indoor surface bacterial microbiomes contributed from human-associated microbiota, particularly the skin microbiota. It was further revealed that human-associated microbiota had greater influence on the indoor surface bacterial microbiomes in areas of high occupancy than areas of low occupancy. Consistent with minimal impact from human occupancy in a new construction, the indoor microbiomes in the new building exhibited significantly lower influence from human-associated microbiota than in the older building, with microbial taxa originating from soil and plants representing the dominant constituents of the indoor surface bacterial microbiomes. In contrast, microbial taxa in the older building with extensive human occupancy were represented by constituents of the human microbiota, likely from occupants. These findings provide insights into processes shaping the indoor microbiomes which will aid the development of effective strategies to control microbial exposure risks of occupants in educational facilities.

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          Most cited references35

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          Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing.
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            The genus Stenotrophomonas comprises at least eight species. These bacteria are found throughout the environment, particularly in close association with plants. Strains of the most predominant species, Stenotrophomonas maltophilia, have an extraordinary range of activities that include beneficial effects for plant growth and health, the breakdown of natural and man-made pollutants that are central to bioremediation and phytoremediation strategies and the production of biomolecules of economic value, as well as detrimental effects, such as multidrug resistance, in human pathogenic strains. Here, we discuss the versatility of the bacteria in the genus Stenotrophomonas and the insight that comparative genomic analysis of clinical and endophytic isolates of S. maltophilia has brought to our understanding of the adaptation of this genus to various niches.
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              Longitudinal analysis of microbial interaction between humans and the indoor environment.

              The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to their dwellings. Draft genomes of potential human pathogens observed on a kitchen counter could be matched to the hands of occupants. After a house move, the microbial community in the new house rapidly converged on the microbial community of the occupants' former house, suggesting rapid colonization by the family's microbiota. Copyright © 2014, American Association for the Advancement of Science.
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                Author and article information

                Contributors
                sli48@utk.edu
                qianghe@utk.edu
                Journal
                Front Environ Sci Eng
                Front Environ Sci Eng
                Frontiers of Environmental Science & Engineering
                Higher Education Press (Beijing )
                2095-2201
                2095-221X
                10 December 2020
                2021
                : 15
                : 5
                : 89
                Affiliations
                [1 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Civil and Environmental Engineering, , The University of Tennessee, ; Knoxville, TN 37996 USA
                [2 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Institute for a Secure and Sustainable Environment, , The University of Tennessee, ; Knoxville, TN 37996 USA
                Article
                1383
                10.1007/s11783-020-1383-1
                7783699
                33425458
                1e8ca976-b410-42dd-801e-cfdff2827cfb
                © Higher Education Press 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 30 July 2020
                : 20 October 2020
                : 23 October 2020
                Categories
                Research Article
                Custom metadata
                © Higher Education Press 2020

                built environment,indoor microbiome,occupant,building,sequencing

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