4.7 Article

Seasonal Variations in the Characteristics of Microbial Community Structure and Diversity in Atmospheric Particulate Matter from Clean Days and Smoggy Days in Beijing

Journal

MICROBIAL ECOLOGY
Volume 83, Issue 3, Pages 568-582

Publisher

SPRINGER
DOI: 10.1007/s00248-021-01764-1

Keywords

Atmospheric particulate matter; Microbial community; Smog pollution; Seasonal variation; Pathogen

Funding

  1. National Natural Science Foundation of China [51178048, 51378064, 51678054]

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This study comprehensively analyzed the variations in the characteristics of the airborne bacterial community in Beijing over one year and found significant seasonal variations. Different seasons and pollution levels showed differences in the sources and dominant communities of atmospheric microorganisms.
Microorganisms are an important part of atmospheric particulate matter and are closely related to human health. In this paper, the variations in the characteristics of the chemical components and bacterial communities in PM10 and PM2.5 grouped according to season, pollution degree, particle size, and winter heating stage were studied. The influence of environmental factors on community structure was also analyzed. The results showed that seasonal variations were significant. NO3- contributed the most to the formation of particulate matter in spring and winter, while SO42- contributed the most in summer and autumn. The community structures in summer and autumn were similar, while the community structure in spring was significantly different. The dominant phyla were similar among seasons, but their proportions were different. The dominant genera were no-rank_c_Cyanobacteria, Acidovorax, Escherichia-Shigella and Sphingomonas in spring; Massilia, Bacillus, Acinetobacter, Rhodococcus, and Brevibacillus in summer and autumn; and Rhodococcus in winter. The atmospheric microorganisms in Beijing mainly came from soil, water, and plants. The few pathogens detected were mainly affected by the microbial source on the sampling day, regardless of pollution level. RDA (redundancy analysis) showed that the bacterial community was positively correlated with the concentration of particulate matter and that the wind speed in spring was positively correlated with NO3- levels, NH4+ levels, temperature, and relative humidity in summer and autumn, but there was no clear consistency among winter samples. This study comprehensively analyzed the variations in the characteristics of the airborne bacterial community in Beijing over one year and provided a reference for understanding the source, mechanism, and assessment of the health effects of different air qualities.

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