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      Daylight exposure modulates bacterial communities associated with household dust

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          Abstract

          Background

          Microbial communities associated with indoor dust abound in the built environment. The transmission of sunlight through windows is a key building design consideration, but the effects of light exposure on dust communities remain unclear. We report results of an experiment and computational models designed to assess the effects of light exposure and wavelengths on the structure of the dust microbiome. Specifically, we placed household dust in replicate model “rooms” with windows that transmitted visible, ultraviolet, or no light and measured taxonomic compositions, absolute abundances, and viabilities of the resulting bacterial communities.

          Results

          Light exposure per se led to lower abundances of viable bacteria and communities that were compositionally distinct from dark rooms, suggesting preferential inactivation of some microbes over others under daylighting conditions. Differences between communities experiencing visible and ultraviolet light wavelengths were relatively minor, manifesting primarily in abundances of dead human-derived taxa. Daylighting was associated with the loss of a few numerically dominant groups of related microorganisms and apparent increases in the abundances of some rare groups, suggesting that a small number of microorganisms may have exhibited modest population growth under lighting conditions. Although biological processes like population growth on dust could have generated these patterns, we also present an alternate statistical explanation using sampling models from ecology; simulations indicate that artefactual, apparent increases in the abundances of very rare taxa may be a null expectation following the selective inactivation of dominant microorganisms in a community.

          Conclusions

          Our experimental and simulation-based results indicate that dust contains living bacterial taxa that can be inactivated following changes in local abiotic conditions and suggest that the bactericidal potential of ordinary window-filtered sunlight may be similar to ultraviolet wavelengths across dosages that are relevant to real buildings.

          Electronic supplementary material

          The online version of this article (10.1186/s40168-018-0559-4) contains supplementary material, which is available to authorized users.

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          Most cited references58

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants.

            Because human activities impact the timing, location, and degree of pollutant exposure, they play a key role in explaining exposure variation. This fact has motivated the collection of activity pattern data for their specific use in exposure assessments. The largest of these recent efforts is the National Human Activity Pattern Survey (NHAPS), a 2-year probability-based telephone survey (n=9386) of exposure-related human activities in the United States (U.S.) sponsored by the U.S. Environmental Protection Agency (EPA). The primary purpose of NHAPS was to provide comprehensive and current exposure information over broad geographical and temporal scales, particularly for use in probabilistic population exposure models. NHAPS was conducted on a virtually daily basis from late September 1992 through September 1994 by the University of Maryland's Survey Research Center using a computer-assisted telephone interview instrument (CATI) to collect 24-h retrospective diaries and answers to a number of personal and exposure-related questions from each respondent. The resulting diary records contain beginning and ending times for each distinct combination of location and activity occurring on the diary day (i.e., each microenvironment). Between 340 and 1713 respondents of all ages were interviewed in each of the 10 EPA regions across the 48 contiguous states. Interviews were completed in 63% of the households contacted. NHAPS respondents reported spending an average of 87% of their time in enclosed buildings and about 6% of their time in enclosed vehicles. These proportions are fairly constant across the various regions of the U.S. and Canada and for the California population between the late 1980s, when the California Air Resources Board (CARB) sponsored a state-wide activity pattern study, and the mid-1990s, when NHAPS was conducted. However, the number of people exposed to environmental tobacco smoke (ETS) in California seems to have decreased over the same time period, where exposure is determined by the reported time spent with a smoker. In both California and the entire nation, the most time spent exposed to ETS was reported to take place in residential locations.
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              Community assembly: when should history matter?

              Community assembly provides a conceptual foundation for understanding the processes that determine which and how many species live in a particular locality. Evidence suggests that community assembly often leads to a single stable equilibrium, such that the conditions of the environment and interspecific interactions determine which species will exist there. In such cases, regions of local communities with similar environmental conditions should have similar community composition. Other evidence suggests that community assembly can lead to multiple stable equilibria. Thus, the resulting community depends on the assembly history, even when all species have access to the community. In these cases, a region of local communities with similar environmental conditions can be very dissimilar in their community composition. Both regional and local factors should determine the patterns by which communities assemble, and the resultant degree of similarity or dissimilarity among localities with similar environments. A single equilibrium in more likely to be realized in systems with small regional species pools, high rates of connectance, low productivity and high disturbance. Multiple stable equilibria are more likely in systems with large regional species pools, low rates of connectance, high productivity and low disturbance. I illustrate preliminary evidence for these predictions from an observational study of small pond communities, and show important effects on community similarity, as well as on local and regional species richness.
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                Author and article information

                Contributors
                ashkaan.fahimipour@gmail.com
                erica.hartmann@northwestern.edu
                a.siemens@auckland.ac.nz
                jkline@uoregon.edu
                dlevin@uoregon.edu
                hewilson86@gmail.com
                clarissebetancourt@gmail.com
                gzbrown@uoregon.edu
                mark.fretz@zgf.com
                tdnorth@uoregon.edu
                k.siemens@auckland.ac.nz
                chuttenh@hsph.harvard.edu
                jlgreen@uoregon.edu
                kevinvdw@uoregon.edu
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                18 October 2018
                18 October 2018
                2018
                : 6
                : 175
                Affiliations
                [1 ]ISNI 0000 0004 1936 8008, GRID grid.170202.6, Biology and the Built Environment Center, University of Oregon, ; 13th Ave, Eugene, OR USA
                [2 ]ISNI 0000 0001 2299 3507, GRID grid.16753.36, Department of Civil and Environmental Engineering, , Northwestern University, ; Chicago, IL USA
                [3 ]ISNI 0000 0004 1936 8008, GRID grid.170202.6, Energy Studies in Buildings Laboratory, University of Oregon, ; Eugene, OR USA
                [4 ]ISNI 0000 0004 1936 8008, GRID grid.170202.6, Department of Mathematics, , University of Oregon, ; Eugene, OR USA
                [5 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Biostatistics, Harvard T.H. Chan School of Public Health, ; Boston, MA USA
                [6 ]ISNI 0000 0001 1941 1940, GRID grid.209665.e, Santa Fe Institute, ; Santa Fe, NM USA
                Author information
                http://orcid.org/0000-0001-9138-3593
                Article
                559
                10.1186/s40168-018-0559-4
                6193304
                30333051
                95b5b9e5-5612-4029-8287-fb5cb2a1bedc
                © The Author(s) 2018

                Open Access This 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.

                History
                : 7 December 2017
                : 19 September 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000879, Alfred P. Sloan Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100000879, Alfred P. Sloan Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100000879, Alfred P. Sloan Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: P50 GM098911
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                dust,daylight,microbiome,built environment
                dust, daylight, microbiome, built environment

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