Relationships between antimicrobial chemicals, features of the built environment, and microbial communities. Relationships between antimicrobial chemicals,

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Presentation transcript:

Relationships between antimicrobial chemicals, features of the built environment, and microbial communities. Relationships between antimicrobial chemicals, features of the built environment, and microbial communities. (a) Distributions of triclosan (TCS), triclocarban (TCC), benzylparaben (BePB), propylparaben (PrPB), methylparaben (MePB), butylparaben (BuPB), and ethylparaben (EtPB) concentrations in dust (ng g−1) across all sampled athletic facilities (n = 116 rooms). (b) Linear correlations between antimicrobial chemicals and building features (results of ANOVA) (Table S1); well-powered building features were retained for analysis using the entropy filter described in Materials and Methods. (c) Chemical profile distance-decay relationship for microbial Bray-Curtis dissimilarities (βBray) and chemical Gower dissimilarities (βGower) between sample pairs. The red line indicates fit from a linear model to raw data. (d) Principal-coordinate analysis (PCoA) visualization of pairwise Bray-Curtis dissimilarities, calculated using Hellinger-transformed species’ relative abundances. Points represent microbial communities from individual rooms, colored and sized by the corresponding triclosan concentration (ng g−1 dust). Contour lines show a surface fitted to triclosan values associated with PCoA point coordinates, using generalized additive models as implemented in the R package vegan. Ashkaan K. Fahimipour et al. mSystems 2018; doi:10.1128/mSystems.00200-18