Quantitative profiling of built environment bacterial and fungal communities reveals dynamic material dependent growth patterns and microbial interactions. (28th August 2020)

• Record Type: Journal Article
• Authors: Xu, Ying; Tandon, Ruby; Ancheta, Chrislyn; Arroyo, Pablo; Gilbert, Jack A.; Stephens, Brent; Kelley, Scott T.
• Is Part Of: Indoor air. Volume 31:Number 1(2021)
• Page Start: 188
• Page End: 205
• Publication Date: 2020-08-28
• Subjects: 16S rRNA -- bacterial diversity -- built environment -- culture‐independent methods -- FACS analysis -- fungal diversity -- indoor microbial ecology -- ITS‐1 -- live‐dead cell sorting -- microscopy counting -- next‐generation sequencing -- quantitative abundance; Indoor air pollution -- Periodicals; Sick building syndrome -- Periodicals; Ventilation -- Periodicals; 613.5
• DOI: 10.1111/ina.12727
• Languages: English
• ISSNs: 0905-6947

Abstract

Abstract: Indoor microbial communities vary in composition and diversity depending on material type, moisture levels, and occupancy. In this study, we integrated bacterial cell counting, fungal biomass estimation, and fluorescence‐assisted cell sorting (FACS) with amplicon sequencing of bacterial (16S rRNA) and fungal (ITS) communities to investigate the influence of wetting on medium density fiberboard (MDF) and gypsum wallboard. Surface samples were collected longitudinally from wetted materials maintained at high relative humidity (~95%). Bacterial and fungal growth patterns were strongly time‐dependent and material‐specific. Fungal growth phenotypes differed between materials: spores dominated MDF surfaces while fungi transitioned from spores to hyphae on gypsum. FACS confirmed that most of the bacterial cells were intact (viable) on both materials over the course of the study. Integrated cell count and biomass data (quantitative profiling) revealed that small changes in relative abundance often resulted from large changes in absolute abundance, while negative correlations in relative abundances were explained by rapid growth of only one group of bacteria or fungi. Comparisons of bacterial‐bacterial and fungal‐bacterial networks suggested a top‐down control of fungi on bacterial growth, possibly via antibiotic production. In conclusion, quantitative profiling provides novel insights into microbial growth dynamics on building materials with potential implications for human health.