Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal region

doi:10.1007/s11783-020-1334-x

Front. Environ. Sci. Eng.

2021, Vol. 15

Issue (3) : 42 https://doi.org/10.1007/s11783-020-1334-x

RESEARCH ARTICLE

Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal region

Manman Ma^1,^2,³, Bo Zhang^1,³, Ye Chen^1,^2,⁴, Wenrong Feng^1,³, Tiezhu Mi^1,^2,³, Jianhua Qi^1,^2,³, Wenshuai Li⁵, Zhigang Yu^2,⁶, Yu Zhen^1,^2,³(

)

¹. Key Laboratory of Marine Environment and Ecology (Ministry of Education), Ocean University of China, Qingdao 266100, China
². Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
³. College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
⁴. College of Marine life Science, Ocean University of China, Qingdao 266003, China
⁵. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
⁶. Key Laboratory of Marine Chemistry Theory and Technology (Ministry of Education); Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China

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Abstract

• Light haze had little effect on bacterial communities.

• Fog and heavy haze had significant effects on these communities.

• Air pollution exerted a greater influence than particle size on bacterial community.

Here, we report the characteristics of bacterial communities in aerosols with different particle sizes during two persistent fog and haze events in December of 2015 and 2016 in Qingdao, China. In the early stage of pollution, the accumulation of PM_2.5 led to the accumulation of microorganisms, thus increasing the bacterial richness and diversity of fine particle sizes. With the persistence and aggravation of pollution, the toxic effect was strengthened, and the bacterial richness and diversity of each particle size decreased. When the particle concentration was highest, the richness and diversity were low for each particle size. Light haze had little influence on bacterial communities. The occurrence of highly polluted humid weather and heavy haze resulted in significant changes in bacterial community diversity, composition and structure, and air pollution exerted a greater influence than particle size on bacterial community structure. During persistent fog and haze events, with the increase of pollutants, bacteria associated with each particle size may be extensively involved in aerosol chemistry, but the degree of participation varies, which requires further study.

Keywords Bacterial community Persistent fog and haze Particle size

Corresponding Author(s): Yu Zhen

Issue Date: 13 November 2020

Cite this article:

Manman Ma,Bo Zhang,Ye Chen, et al. Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal region[J]. Front. Environ. Sci. Eng., 2021, 15(3): 42.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-020-1334-x
https://academic.hep.com.cn/fese/EN/Y2021/V15/I3/42

Tab.1 Meteorological parameters and air quality parameters at sampling in December of 2015 (A1220–A1227) and December of 2016 (B1214–B1223)

Fig.1 Diversity changes in bacterial communities in aerosols during persistent fog and haze events in December 2015 (a) and December 2016 (b).

Fig.2 Venn diagram of OTUs in aerosols in December 2015 (a) and December 2016 (b) and relative abundances of dominant phyla in December 2015 (c) and December 2016 (d).

Fig.3 Relative abundances of microbial groups in aerosols with different particle sizes at the genus level in December 2015 (a) and December 2016 (b).

Fig.4 Cluster analysis of samples collected in December of 2015 (a) and December of 2016 (b) and principal component analysis (PCA) of bacterial community structure in aerosols with different particle sizes in December of 2015 (c) and December of 2016 (d).

Fig.5 Correlation between environmental factors and bacterial community structure in December of 2015 (a) and December of 2016 (b).

Fig.6 Air mass 48 h backward trajectory analysis at the time of sampling.

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