Comparison of airborne bacterial communities in PM2.5 between a dry-season haze period and a wet-season non-haze period in thailand

Thailand experiencing severe air pollution for over a decade. Although the physical and chemical properties of particulate matter have been extensively studied, the biological aspects, particularly microorganisms present in fine particles during haze and non-haze periods, are still unclear. To address this gap, we aim to profile the bacterial communities in PM2.5 in Bangkok and Chiang Mai, Thailand. The samples were collected during the haze and non-haze periods in 2021-2022. Using 16 S rRNA gene sequencing, we identified a markedly higher number of bacterial genera in Chiang Mai (247) compared to Bangkok (31). In Bangkok, Actinobacteriota (80.4%) and Proteobacteria (18.3%) dominated, whereas Chiang Mai's samples were enriched with Firmicutes (52.2%) and Bacteroidota (13.0%). Interestingly, Bangkok's samples were dominated by Cutibacterium (68.4%) and Enhydrobacter (14.6%), while Chiang Mai had Bacillus (11.0%) and Blautia (7.6%). Despite substantially higher PM2.5 levels during haze, alpha diversity analyses showed that bacterial community structure was more strongly influenced by geographic location than by haze conditions. Chiang Mai consistently exhibited greater microbial richness and evenness than Bangkok. These findings highlight the importance of biological factors in urban air pollution studies and underscore the need to incorporate the biological aspects into health risk assessments and air quality management strategies.

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Publication Details

Journal
Scientific Reports
Published
2025-04-15
DOI
https://doi.org/10.1038/s41598-025-97966-5
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
2.40

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Comparison of airborne bacterial communities in PM2.5 between a dry-season haze period and a wet-season non-haze period in thailand

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2 citations
Scientific Reports
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article

Comparison of airborne bacterial communities in PM2.5 between a dry-season haze period and a wet-season non-haze period in thailand

Kraichat Tantrakarnapa, Wantanasak Suksong, Nopadol Precha, Suwalee Worakhunpiset, Yanin Limpanont, Wissanupong Kliengchuay, Naomichi Yamamoto, Kittipong Chaisiri
article en
2 citations

Abstract

Thailand experiencing severe air pollution for over a decade. Although the physical and chemical properties of particulate matter have been extensively studied, the biological aspects, particularly microorganisms present in fine particles during haze and non-haze periods, are still unclear. To address this gap, we aim to profile the bacterial communities in PM2.5 in Bangkok and Chiang Mai, Thailand. The samples were collected during the haze and non-haze periods in 2021-2022. Using 16 S rRNA gene sequencing, we identified a markedly higher number of bacterial genera in Chiang Mai (247) compared to Bangkok (31). In Bangkok, Actinobacteriota (80.4%) and Proteobacteria (18.3%) dominated, whereas Chiang Mai's samples were enriched with Firmicutes (52.2%) and Bacteroidota (13.0%). Interestingly, Bangkok's samples were dominated by Cutibacterium (68.4%) and Enhydrobacter (14.6%), while Chiang Mai had Bacillus (11.0%) and Blautia (7.6%). Despite substantially higher PM2.5 levels during haze, alpha diversity analyses showed that bacterial community structure was more strongly influenced by geographic location than by haze conditions. Chiang Mai consistently exhibited greater microbial richness and evenness than Bangkok. These findings highlight the importance of biological factors in urban air pollution studies and underscore the need to incorporate the biological aspects into health risk assessments and air quality management strategies.

Scientific ReportsVol. 15(1)
Seoul National University (KR), Mahidol University (TH), Mahidol Oxford Tropical Medicine Research Unit (TH), King Mongkut's University of Technology Thonburi (TH), Walailak University (TH)
Mahidol University, National Research Council of Thailand, Faculty of Tropical Medicine, Mahidol University
Climate action
Openalex Percentile: Top 13%
Air Quality and Health Impacts
2.40
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