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Bacterial Community Specification in PM2.5 in Different Seasons in Xinxiang, Central China

Category: Bioaerosols

Volume: 19 | Issue: 6 | Pages: 1355-1364
DOI: 10.4209/aaqr.2018.12.0467
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To cite this article:
Li, H., Shan, Y., Huang, Y., An, Z., Xu, G., Wei, F., Zhang, G. and Wu, W. (2019). Bacterial Community Specification in PM2.5 in Different Seasons in Xinxiang, Central China. Aerosol Air Qual. Res. 19: 1355-1364. doi: 10.4209/aaqr.2018.12.0467.

Huijun Li1,2, Yifan Shan1,2, Yongchao Huang1,2, Zhen An1,2, Guangcui Xu1,2, Fan Wei1,2, Guicheng Zhang 3, Weidong Wu 1,2

  • 1 School of Public Health, Xinxiang Medical University, Henan 4353003, China
  • 2 Henan International Laboratory for Air Pollution Health Effects and Intervention, Henan 4353003, China
  • 3 School of Public Health, Curtin University, Bentley, Western Australia 6102, Australia


  • PM2.5 bacterial communities vary with seasons.
  • Bacterial community in PM2.5 exhibits the highest species richness in spring.
  • Bacterial community in PM2.5 exhibits the highest diversity in summer.
  • Ozone concentration is significantly correlated with PM2.5 bacterial communities.


In China, air pollution has become a significant environmental threat to human health in recent years. Airborne bacteria are critical constituents of microbial aerosols, which contain numerous pathogens. However, the effects of seasonal variations, environmental factors such as air pollution, and meteorological factors on microbial diversity are poorly understood. In this study, fine particulate matter (PM2.5) samples (n = 12) were collected using a high-volume air sampler over 24-hour periods during all four seasons from April 2017 to January 2018. Concurrently, the average daily concentrations of various air pollutants and the meteorological conditions were monitored. High-throughput sequencing of 16s rRNA was then employed to profile PM2.5 bacterial communities. The results showed that the bacterial communities varied significantly by season. Proteobacteria (35.5%), Firmicutes (23.0%), and Actinobacteria (16.2%) were the most abundant bacterial phyla in the PM2.5 samples. At the genus level, the diversity of the bacterial communities was significantly correlated with the ozone (O3) concentration (r = 0.920, p = 0.001) and air temperature (T) (r = 0.534, p = 0.023). The results of this study can be used as a reference by other bioaerosol research that focuses on the health effects of atmospheric particulate matter.


PM2.5 Bacterial biodiversity Pollutants Meteorological factors Ozone

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