Short-range contributions of local sources to ambient air. Issue 2 (14th April 2022)

• Record Type: Journal Article
• Authors: Gusareva, Elena S; Gaultier, Nicolas E; Uchida, Akira; Premkrishnan, Balakrishnan N V; Heinle, Cassie E; Phung, Wen J; Wong, Anthony; Lau, Kenny J X; Yap, Zhei H; Koh, Yanqing; Ang, Poh N; Putra, Alexander; Panicker, Deepa; Lee, Jessica G H; Neves, Luis C; Drautz-Moses, Daniela I; Schuster, Stephan C
• Editors: Nelson, Karen E
• Is Part Of: PNAS nexus. Volume 1:Issue 2(2022)
• Publication Date: 2022-04-14
• Subjects: air microbiome -- bioaerosols -- microbial ecology -- local and remote microbial sources -- eDNA; Science -- Periodicals; 505
• DOI: 10.1093/pnasnexus/pgac043
• Languages: English
• ISSNs: 2752-6542

Abstract

Abstract: Recent developments in aerobiology have enabled the investigation of airborne biomass with high temporal and taxonomic resolution. In this study, we assess the contributions of local sources to ambient air within a 160, 000 m 2 tropical avian park (AP). We sequenced and analyzed 120 air samples from seven locations situated 160 to 400 m apart, representing distinct microhabitats. Each microhabitat contained a characteristic air microbiome, defined by the abundance and richness of its airborne microbial community members, supported by both, PCoA and Random Forest analysis. Each outdoor microhabitat contained 1% to 18.6% location-specific taxa, while a core microbiome of 27.1% of the total taxa was shared. To identify and assess local sources, we compared the AP dataset with a DVE reference dataset from a location 2 km away, collected during a year-round sampling campaign. Intersection of data from the two sites demonstrated 61.6% of airborne species originated from local sources of the AP, 34.5% from ambient air background, and only 3.9% of species were specific to the DVE reference site. In-depth taxonomic analysis demonstrated association of bacteria-dominated air microbiomes with indoor spaces, while fungi-dominated airborne microbial biomass was predominant in outdoor settings with ample vegetation. The approach presented here demonstrates an ability to identify local source contributions against an ambient air background, despite the prevailing mixing of air masses caused by atmospheric turbulences.