Literature DB >> 34105008

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

Yujiao Sun1, Yujia Huang1, Shangwei Xu2, Jie Li1, Meng Yin1, Hezhong Tian3.   

Abstract

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

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

Mesh:

Substances:

Year:  2021        PMID: 34105008     DOI: 10.1007/s00248-021-01764-1

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  20 in total

1.  Plants as sources of airborne bacteria, including ice nucleation-active bacteria.

Authors:  J Lindemann; H A Constantinidou; W R Barchet; C D Upper
Journal:  Appl Environ Microbiol       Date:  1982-11       Impact factor: 4.792

2.  New insight into PM2.5 pollution patterns in Beijing based on one-year measurement of chemical compositions.

Authors:  Tianyi Tan; Min Hu; Mengren Li; Qingfeng Guo; Yusheng Wu; Xin Fang; Fangting Gu; Yu Wang; Zhijun Wu
Journal:  Sci Total Environ       Date:  2017-12-01       Impact factor: 7.963

3.  Airborne bacteria structure and chemical composition relationships in winter and spring PM10 samples over southeastern Italy.

Authors:  S Romano; S Becagli; F Lucarelli; G Rispoli; M R Perrone
Journal:  Sci Total Environ       Date:  2020-04-28       Impact factor: 7.963

4.  Sources of bacteria in outdoor air across cities in the midwestern United States.

Authors:  Robert M Bowers; Amy P Sullivan; Elizabeth K Costello; Jeff L Collett; Rob Knight; Noah Fierer
Journal:  Appl Environ Microbiol       Date:  2011-07-29       Impact factor: 4.792

5.  Size-related bacterial diversity and tetracycline resistance gene abundance in the air of concentrated poultry feeding operations.

Authors:  Min Gao; Ruizhi Jia; Tianlei Qiu; Meilin Han; Xuming Wang
Journal:  Environ Pollut       Date:  2016-11-08       Impact factor: 8.071

6.  Spatio-temporal variability of airborne bacterial communities and their correlation with particulate matter chemical composition across two urban areas.

Authors:  I Gandolfi; V Bertolini; G Bestetti; R Ambrosini; E Innocente; G Rampazzo; M Papacchini; A Franzetti
Journal:  Appl Microbiol Biotechnol       Date:  2015-01-16       Impact factor: 4.813

7.  Effects of haze pollution on microbial community changes and correlation with chemical components in atmospheric particulate matter.

Authors:  Yujiao Sun; Shangwei Xu; Danyang Zheng; Jie Li; Hezhong Tian; Yong Wang
Journal:  Sci Total Environ       Date:  2018-05-10       Impact factor: 7.963

8.  Inhalable microorganisms in Beijing's PM2.5 and PM10 pollutants during a severe smog event.

Authors:  Chen Cao; Wenjun Jiang; Buying Wang; Jianhuo Fang; Jidong Lang; Geng Tian; Jingkun Jiang; Ting F Zhu
Journal:  Environ Sci Technol       Date:  2014-01-23       Impact factor: 9.028

9.  The occurrence of potato common scab correlates with the community composition and function of the geocaulosphere soil microbiome.

Authors:  Wencong Shi; Mingcong Li; Guangshan Wei; Renmao Tian; Cuiping Li; Bing Wang; Rongshan Lin; Chunyu Shi; Xiuli Chi; Bo Zhou; Zheng Gao
Journal:  Microbiome       Date:  2019-02-01       Impact factor: 14.650

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