Please wait a minute...
Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

邮发代号 80-973

2018 Impact Factor: 3.883

Frontiers of Environmental Science & Engineering  2021, Vol. 15 Issue (3): 37   https://doi.org/10.1007/s11783-020-1329-7
  本期目录
Diverse bacterial populations of PM2.5 in urban and suburb Shanghai, China
Caihong Xu1, Jianmin Chen1,2,3(), Zhikai Wang1, Hui Chen1,3, Hao Feng1, Lujun Wang3, Yuning Xie3, Zhenzhen Wang1, Xingnan Ye1,3, Haidong Kan1,4, Zhuohui Zhao1,4, Abdelwahid Mellouki5
1. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan Tyndall Centre, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
2. Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
3. Institute of Eco-Chongming (IEC), Yangtze River Delta Estuary Wetland Station, School of Geographic Sciences, East China Normal University, Shanghai 200062, China
4. School of Public Health, Key Laboratory of Public Health Safety (Ministry of Education), NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
5. Institut de Combustion, Aérothermique, Réactivité et Environnement, CNRS, 45071 Orléans Cedex 02, France
 全文: PDF(1238 KB)   HTML
Abstract

• Urban aerosols harbour diverse bacterial communities in Shanghai.

• The functional groups were associated with nitrogen, carbon, and sulfur cycling.

• Temperature, SO2, and wind speed were key drivers for the bacterial community.

Airborne bacteria play key roles in terrestrial and marine ecosystems and human health, yet our understanding of bacterial communities and their response to the environmental variables lags significantly behind that of other components of PM2.5. Here, atmospheric fine particles obtained from urban and suburb Shanghai were analyzed by using the qPCR and Illumina Miseq sequencing. The bacteria with an average concentration of 2.12 × 103 cells/m3, were dominated by Sphingomonas, Curvibacter, Acinetobacter, Bradyrhizobium, Methylobacterium, Halomonas, Aliihoeflea, and Phyllobacterium, which were related to the nitrogen, carbon, sulfur cycling and human health risk. Our results provide a global survey of bacterial community across urban, suburb, and high-altitude sites. In Shanghai (China), urban PM2.5 harbour more diverse and dynamic bacterial populations than that in the suburb. The structural equation model explained about 27%, 41%, and 20%–78% of the variance found in bacteria diversity, concentration, and discrepant genera among urban and suburb sites. This work furthered the knowledge of diverse bacteria in a coastal Megacity in the Yangtze river delta and emphasized the potential impact of environmental variables on bacterial community structure.

Key wordsPM2.5    Bacteria    16S rRNA    SEM analysis    Shanghai City
收稿日期: 2020-04-21      出版日期: 2020-11-10
Corresponding Author(s): Jianmin Chen   
 引用本文:   
. [J]. Frontiers of Environmental Science & Engineering, 2021, 15(3): 37.
Caihong Xu, Jianmin Chen, Zhikai Wang, Hui Chen, Hao Feng, Lujun Wang, Yuning Xie, Zhenzhen Wang, Xingnan Ye, Haidong Kan, Zhuohui Zhao, Abdelwahid Mellouki. Diverse bacterial populations of PM2.5 in urban and suburb Shanghai, China. Front. Environ. Sci. Eng., 2021, 15(3): 37.
 链接本文:  
https://academic.hep.com.cn/fese/CN/10.1007/s11783-020-1329-7
https://academic.hep.com.cn/fese/CN/Y2021/V15/I3/37
Fig.1  
Fig.2  
Factors Unit Summer Winter
Urban Suburb Urban Suburb
PM2.5 Mass Conc. mg/m3 30.4±19.4 22.3±17.2 51.0±27.3 41.3±26.3
CO mg/m3 687.1±170.2 595.9±197.8 967.3±331.6 745.5±247.7
O3 mg/m3 80.8±26.1 77.6±39.7 39.4±14.0 48.7±18.9
NO2 mg/m3 41.3±16.9 29.4±15.2 64.5±24.4 47.0±13.8
SO2 mg/m3 7.3±1.4 7.5±1.4 10.4±3.2 6.65±2.0
Temperature °C 20.7±4.7 26.6±2.1 5.7±3.7 5.6±2.0
Relative humidity % 72.6±11.9 86.6±7.0 70.9±11.6 79.0±14.0
Wind speed m/s 1.7±0.3 2.3±1.0 1.9±0.6 1.2±0.5
OTUs 783±393 491±201 863±261 847±300
Chao1 847±415 550±227 1000±282 973±371
Shannon 4.95±0.6 3.44±1.07 2.96±0.65 3.53±0.53
Simpson 0.03±0.02 0.15±0.13 0.24±0.09 0.12±0.06
Tab.1  
Fig.3  
Fig.4  
1 K Anantharaman, B Hausmann, S P Jungbluth, R Kantor, A Lavy, L A Warren, M S Rappé, M Pester, A Loy, B C Thomas, J F Banfield (2018). Expanded diversity of microbial groups that shape the dissimilatory sulfur cycle. ISME Journal, 12(7): 1715–1728
https://doi.org/10.1038/s41396-018-0078-0
2 R Bowers, N Clements, J B Emerson, C Wiedinmyer, M P Hannigan, N Fierer (2013). Seasonal variability in bacterial and fungal diversity of the near-surface atmosphere. Environmental Science & Technology, 47(21): 12097–12106
https://doi.org/10.1021/es402970s
3 J Cáliz, X Triado-Margarit, L Camarero, E Casamayor, (2018). A long-term survey unveils strong seasonal patterns in the airborne microbiome coupled to general and regional atmospheric circulations. Proceedings of the National Academy of Sciences of the United States of America, 115(48): 12229–12234
https://doi.org/10.1073/pnas.1812826115
4 C Cao, W Jiang, B Wang, J Fang, J Lang, G Tian, J K Jiang, T F Zhu (2014). Inhalable microorganisms in Beijing’s PM2.5 and PM10 pollutants during a severe smog event. Environmental Science & Technology, 48(3): 1499–1507
https://doi.org/10.1021/es4048472
5 R Cavicchioli, W Ripple, K Timmis, F Azam, L Bakken, M Baylis, M J Behrenfeld, A Boetius, P W Boyd, A T Classen, T W Crowther, R Danovaro, C M Foreman, J Huisman, D A Hutchins, J K Jansson, D M Karl, B Koskella, D B Mark Welch, J B H Martiny, M A Moran, V J Orphan, D S Reay, J V Remais, V I Rich, B K Singh, L Y Stein, F J Stewart, M B Sullivan, M J H van Oppen, S C Weaver, E A Webb, N S Webster (2019). Scientists’ warning to humanity: Microorganisms and climate change. Nature Reviews. Microbiology, 17(9): 569–586
https://doi.org/10.1038/s41579-019-0222-5
6 D Ding, J Xing, S X Wang, X Chang, J M Hao (2019). Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013 and 2017. Frontiers of Environmental Science & Engineering, 13(5): 76
https://doi.org/10.1007/s11783-019-1160-1
7 L Dong, J Qi, C Shao, X Zhong, D Gao, W Cao, J Gao, R Bai, G Long, C Chu (2016). Concentration and size distribution of total airborne microbes in hazy and foggy weather. Science of the Total Environment, 541: 1011–1018
https://doi.org/10.1016/j.scitotenv.2015.10.001
8 H Fasca, L V A de Castilho, J F M de Castilho, I P Pasqualino, V M Alvarez, D de Azevedo Jurelevicius, L Seldin (2018). Response of marine bacteria to oil contamination and to high pressure and low temperature deep sea conditions. MicrobiologyOpen, 7(2): e00550
https://doi.org/10.1002/mbo3.550
9 H Gou, J Lu, S Li, Y Tong, C Xie, X Zheng (2016). Assessment of microbial communities in PM1 and PM10 of Urumqi during winter. Environmental Pollution, 214: 202–210
https://doi.org/10.1016/j.envpol.2016.03.073
10 K Hara, D Z Zhang (2012). Bacterial abundance and viability in long-range transported dust. Atmospheric Environment, 47: 20–25
https://doi.org/10.1016/j.atmosenv.2011.11.050
11 W Hu, H Niu, K Murata, Z Wu, M Hu, T Kojima, D Zhang (2018). Bacteria in atmospheric waters: Detection, characteristics and implications. Atmospheric Environment, 179: 201–221
https://doi.org/10.1016/j.atmosenv.2018.02.026
12 W Hu, Z Wang, S Huang, L Ren, S Yue, P Li, Q Xie, W Zhao, L Wei, H Ren, L Wu, J Deng, P Fu (2020). Biological aerosol particles in polluted regions. Current Pollution Report, 6(2): 65–89
https://doi.org/10.1007/s40726-020-00138-4
13 H Huang, B Chen, G Liu, J Ran, X Lian, X Huang, N Wang, Z Huang (2018). A multi-center study on the risk factors of infection caused by multi-drug resistant Acinetobacter baumannii. BMC Infectious Diseases, 18(1): 11(1-6)
https://doi.org/10.1186/s12879-017-2932-5
14 S Hwang, I Kim, W Park (2017). Concentrations of PM10 and airborne bacteria in daycare centers in Seoul relative to indoor environmental factors and daycare center characteristics. Air Quality, Atmosphere & Health, 10(2): 139–145
https://doi.org/10.1007/s11869-016-0423-2
15 E Innocente, S Squizzato, F Visin, C Facca, G Rampazzo, V Bertolini, I Gandolfi, A Franzetti, R Ambrosini, G Bestetti (2017). Influence of seasonality, air mass origin and particulate matter chemical composition on airborne bacterial community structure in the Po Valley, Italy. Science of the Total Environment, 593–594: 677–687
https://doi.org/10.1016/j.scitotenv.2017.03.199
16 E M Jeon, H J Kim, K Jung, J H Kim, M Y Kim, Y P Kim, J O Ka (2011). Impact of Asian dust events on airborne bacterial community assessed by molecular analyses. Atmospheric Environment, 45(25): 4313–4321
https://doi.org/10.1016/j.atmosenv.2010.11.054
17 W J Li, L Liu, L Xu, J Zhang, Q Yuan, X Ding, W Hu, P Q D Fu, D Z Zhang (2020a). Overview of primary biological aerosol particles from a Chinese boreal forest: Insight into morphology, size, and mixing state at microscopic scale. Science of the Total Environment, 719: 137520
https://doi.org/10.1016/j.scitotenv.2020.137520
18 L Li, C Lu, P W Chan, X Zhang, H L Yang, Z J Lan, W H Zhang, Y W Liu, L Pan, L Zhang (2020b). Tower observed vertical distribution of PM2.5, O3 and NOx in the Pearl River Delta. Atmospheric Environment, 220: 117083
https://doi.org/10.1016/j.atmosenv.2019.117083
19 W Li, J Yang, D Zhang, B Li, E Wang, H Yuan (2018). Concentration and community of airborne bacteria in response to cyclical haze events during the fall and midwinter in Beijing. China. Frontiers in Microbiology, 9: 1741
https://doi.org/10.3389/fmicb.2018.01741
20 Y Li, H Fu, W Wang, J Liu, Q Meng, W Wang (2015). Characteristics of bacterial and fungal aerosols during the autumn haze days in Xi’an, China. Atmospheric Environment, 122: 439–447
https://doi.org/10.1016/j.atmosenv.2015.09.070
21 C Liu, H C Dai, L Zhang, C H Feng (2019). The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei region in China. Frontiers of Environmental Science & Engineering, 13(5): 70
https://doi.org/10.1007/s11783-019-1155-y
22 R Lu, C Fan, P Liu, Y Qi, F Mu, Z Xie, J Kerr White, A Mette Madsen, Y P Li (2019). Exposure characteristics of airborne bacteria during a haze pollution event at Qinling Mountain, China. Human and Ecological Risk Assessment, 25(1–2): 438–454
https://doi.org/10.1080/10807039.2018.1542588
23 VT Thór Marteinsson Á Rúnarsson, A Stefánsson, T Thorsteinsson, T Jóhannesson, S H Magnússon, E Reynisson, B Einarsson, N Wade, H G Morrison, E Gaidos, (2013). Microbial communities in the subglacial waters of the Vatnajokull ice cap, Iceland. ISME Journal, 7(2): 427–437
https://doi.org/10.1038/ismej.2012.97
24 E Mayol, J M Arrieta, M A Jiménez, A Martínez-Asensio, N Garcias-Bonet, J Dachs, B González-Gaya, S J Royer, V M Benítez-Barrios, E Fraile-Nuez, C M Duarte (2017). Long-range transport of airborne microbes over the global tropical and subtropical ocean. Nature Communications, 8(1): 201
https://doi.org/10.1038/s41467-017-00110-9
25 J M Michaud, L R Thompson, D Kaul, J L Espinoza, R A Richter, Z Z Xu, C Lee, K M Pham, C M Beall, F Malfatti, F Azam, R Knight, M D Burkart, C L Dupont, K A Prather (2018). Taxon-specific aerosolization of bacteria and viruses in an experimental ocean-atmosphere mesocosm. Nature Communications, 9(1): 2017
https://doi.org/10.1038/s41467-018-04409-z
26 W Smets, S Moretti, S Denys, S Lebeer (2016). Airborne bacteria in the atmosphere: Presence, purpose, and potential. Atmospheric Environment, 139: 214–221
https://doi.org/10.1016/j.atmosenv.2016.05.038
27 Y Sun, T Song, G Q Tang, Y S Wang (2013). The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing. Atmospheric Environment, 74: 413–421
https://doi.org/10.1016/j.atmosenv.2013.03.011
28 Y Sun, S Xu, D Zheng, J Li, H Tian, Y Wang (2018). Effects of haze pollution on microbial community changes and correlation with chemical components in atmospheric particulate matter. Science of the Total Environment, 637–638: 507–516
https://doi.org/10.1016/j.scitotenv.2018.04.203
29 D Wang, Z Wang, Z R Peng, D Wang (2020).Using unmanned aerial vehicle to investigate the vertical distribution of fine particulate matter. International Journal of Environmental Science and Technology, 17(1): 219–230
https://doi.org/10.1007/s13762-019-02449-6
30 M Wei, C H Xu, X M Xu, C Zhu, J R Li, G L Lv (2019). Characteristics of atmospheric bacterial and fungal communities in PM2.5 following biomass burning disturbance in a rural area of North China Plain. Science of the Total Environment, 651: 2727–2739
https://doi.org/10.1016/j.scitotenv.2018.09.399
31 C A Woo (2013). Molecular ecology and public health risks of urban bio-aerosols. (Doctoral Thesis). Hong Kong: The University of Hong Kong
32 C Xu, M Wei, J M Chen, C Zhu, J R Li, X M Xu, W X Wang, Q Z Zhang, A J Ding, H D Kan, Z H Zhao, A Mellouki (2019). Profile of inhalable bacteria in PM2.5 at Mt. Tai, China: Abundance, community, and influence of air mass trajectories. Ecotoxicology and Environmental Safety, 168: 110–119
https://doi.org/10.1016/j.ecoenv.2018.10.071
33 K Yoo, I Han, K S Ko, T K Lee, H Yoo, M I Khan, J M Tiedje, J Park (2019). Bacillus-dominant airborne bacterial communities identified during Asian dust events. Microbial Ecology, 78(3): 677–687
https://doi.org/10.1007/s00248-019-01348-0
34 K Zhang, J L Xu, Q Huang, L Zhou, Q Y Fu, Y S Duan, G L Xiu (2020). Precursors and potential sources of ground-level ozone in suburban Shanghai. Frontiers of Environmental Science & Engineering, 14(6):92
https://doi.org/10.1007/s11783-020-1271-8
35 Y Zhai, X Li, T Wang, B Wang, C Li, G Zeng (2018). A review on airborne microorganisms in particulate matters: Composition, characteristics and influence factors. Environment International, 113: 74–90
https://doi.org/10.1016/j.envint.2018.01.007
36 S Zhong, L Zhang, X Jiang, P Gao (2019). Comparison of chemical composition and airborne bacterial community structure in PM2.5 during haze and non-haze days in the winter in Guilin, China. Science of the Total Environment, 655: 202–210
https://doi.org/10.1016/j.scitotenv.2018.11.268
37 M Zielińska, P Rusanowska, J Jarzabek, J Nielsen (2016). Community dynamics of denitrifying bacteria in full-scale wastewater treatment plants. Environmental Technology, 37(18): 2358–2367
https://doi.org/10.1080/09593330.2016.1150350
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed