Functional adaptation of PM2.5 microbiomes to varying environmental conditions in Northeast Asia: Ulaanbaatar, Seoul, and Noto.

This study examined the bacterial and fungal communities associated with PM2.5 collected from three geographically distinct locations in Northeast Asia-Ulaanbaatar (high pollution), Seoul (moderate pollution), and Noto (low pollution)-which collectively represent a gradient of urbanization and environmental conditions during the spring sampling period from March 15 to April 7, 2022. Ulaanbaatar exhibited the highest abundance of both bacteria and fungi, yet exhibited the lowest fungal diversity. In contrast, Noto exhibited the lowest microbial abundance but the highest fungal diversity, while Seoul displayed intermediate values. Dominant bacterial genera, including Caldalkalibacillus, Halomonas, and Nesterenkonia, demonstrated notable resilience across all three locations, highlighting their adaptability to diverse environmental conditions. The dominant fungal genera were Cladosporium and Candida. Analyses revealed significant correlations between microbial community structures and environmental factors. In Ulaanbaatar, microbial communities were strongly associated with meteorological parameters such as temperature, humidity, and wind speed. In Seoul, stronger correlations were observed with polycyclic aromatic hydrocarbons (PAHs). Noto exhibited weaker correlations with both meteorological factors and organic compounds. Across all sites, bacteria consistently showed broader niche breadths compared to fungi, reflecting their greater metabolic versatility and resource utilization capacity. Both bacterial and fungal niche breadths generally increased at intermediate concentrations of alkanes and DCAs but declined at extreme concentrations, suggesting optimal survival ranges. These findings highlight the complex interplay of environmental factors and pollutants in shaping microbial community structures and functional diversity across diverse geographical settings during the spring season.