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Implications of PM2.5 chemical composition in modulating microbial community dynamics during spring in Seoul
- Title
- Implications of PM2.5 chemical composition in modulating microbial community dynamics during spring in Seoul
- Authors
- Kang; Sookyung; Lee; Ji Yi; Cho; Kyung-Suk
- Ewha Authors
- 조경숙; 이지이
- SCOPUS Author ID
- 조경숙; 이지이
- Issue Date
- 2024
- Journal Title
- Environmental Pollution
- ISSN
- 0269-7491
- Citation
- Environmental Pollution vol. 348
- Keywords
- Air pollutants; Chemical composition; Correlation; Microbial diversity; PM<sub>2.5</sub>; Seoul
- Publisher
- Elsevier Ltd
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- Particulate matter with an aerodynamic diameter of 2.5 μm or less (PM2.5) harbors a diverse microbial community. To assess the ecological dynamics and potential health risks associated with airborne microorganisms, it is crucial to understand the factors influencing microbial communities within PM2.5. This study investigated the influence of abiotic parameters, including air pollutants, PM2.5 chemical composition (water-soluble ions and organics), and meteorological variables, on microbial communities in PM2.5 samples collected in Seoul during the spring season. Results revealed a significant correlation between air pollutants and water-soluble ions of PM2.5 with microbial α-diversity indices. Additionally, air pollutants exerted a dominant effect on the microbial community structure, with stronger correlations observed for fungi than bacteria, whereas meteorological variables including temperature, pressure, wind speed, and humidity exerted a limited influence on fungal α-diversity. Furthermore, the results revealed specific water-soluble ions, such as SO42−, NO3−, and NH4+, as important factors influencing fungal α-diversity, whereas K+ negatively correlated with both microbial α-diversity. Moreover, PM2.5 microbial diversity was affected by organic compounds within PM2.5, with fatty acids exhibited a positive correlation with fungal diversity, while dicarboxylic acids exhibited a negative correlation with it. Furthermore, network analysis revealed direct links between air pollutants and dominant bacterial and fungal genera. The air pollutants exhibited a strong correlation with bacterial genera, such as Arthrospira and Clostridium, and fungal genera, including Aureobasidium and Cladosporium. These results will contribute to our understanding of the ecological dynamics of airborne microorganisms and provide insights into the potential risks associated with PM2.5 exposure. © 2024 Elsevier Ltd
- DOI
- 10.1016/j.envpol.2024.123834
- Appears in Collections:
- 공과대학 > 환경공학과 > Journal papers
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