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.
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Anantharaman K, Hausmann B, Jungbluth S P, Kantor R, Lavy A, Warren L A, Rappé M S, Pester M, Loy A, Thomas B C, Banfield J F (2018). Expanded diversity of microbial groups that shape the dissimilatory sulfur cycle. ISME Journal, 12(7): 1715–1728
Bowers R, Clements N, Emerson J B, Wiedinmyer C, Hannigan M P, Fierer N (2013). Seasonal variability in bacterial and fungal diversity of the near-surface atmosphere. Environmental Science & Technology, 47(21): 12097–12106
Cáliz J, Triado-Margarit X, Camarero L, Casamayor E, (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
Cao C, Jiang W, Wang B, Fang J, Lang J, Tian G, Jiang J K, Zhu T F (2014). Inhalable microorganisms in Beijing’s PM2.5 and PM10 pollutants during a severe smog event. Environmental Science & Technology, 48(3): 1499–1507
Cavicchioli R, Ripple W, Timmis K, Azam F, Bakken L, Baylis M, Behrenfeld M J, Boetius A, Boyd P W, Classen A T, Crowther T W, Danovaro R, Foreman C M, Huisman J, Hutchins D A, Jansson J K, Karl D M, Koskella B, Mark Welch D B, Martiny J B H, Moran M A, Orphan V J, Reay D S, Remais J V, Rich V I, Singh B K, Stein L Y, Stewart F J, Sullivan M B, van Oppen M J H, Weaver S C, Webb E A, Webster N S (2019). Scientists’ warning to humanity: Microorganisms and climate change. Nature Reviews. Microbiology, 17(9): 569–586
Ding D, Xing J, Wang S X, Chang X, Hao J M (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
Dong L, Qi J, Shao C, Zhong X, Gao D, Cao W, Gao J, Bai R, Long G, Chu C (2016). Concentration and size distribution of total airborne microbes in hazy and foggy weather. Science of the Total Environment, 541: 1011–1018
Fasca H, de Castilho L V A, de Castilho J F M, Pasqualino I P, Alvarez V M, de Azevedo Jurelevicius D, Seldin L (2018). Response of marine bacteria to oil contamination and to high pressure and low temperature deep sea conditions. MicrobiologyOpen, 7(2): e00550
Gou H, Lu J, Li S, Tong Y, Xie C, Zheng X (2016). Assessment of microbial communities in PM1 and PM10 of Urumqi during winter. Environmental Pollution, 214: 202–210
Hara K, Zhang D Z (2012). Bacterial abundance and viability in longrange transported dust. Atmospheric Environment, 47: 20–25
Hu W, Niu H, Murata K, Wu Z, Hu M, Kojima T, Zhang D (2018). Bacteria in atmospheric waters: Detection, characteristics and implications. Atmospheric Environment, 179: 201–221
Hu W, Wang Z, Huang S, Ren L, Yue S, Li P, Xie Q, Zhao W, Wei L, Ren H, Wu L, Deng J, Fu P (2020). Biological aerosol particles in polluted regions. Current Pollution Report, 6(2): 65–89
Huang H, Chen B, Liu G, Ran J, Lian X, Huang X, Wang N, Huang Z (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)
Hwang S, Kim I, Park W (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
Innocente E, Squizzato S, Visin F, Facca C, Rampazzo G, Bertolini V, Gandolfi I, Franzetti A, Ambrosini R, Bestetti G (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
Jeon E M, Kim H J, Jung K, Kim J H, Kim M Y, Kim Y P, Ka J O (2011). Impact of Asian dust events on airborne bacterial community assessed by molecular analyses. Atmospheric Environment, 45(25): 4313–4321
Li W J, Liu L, Xu L, Zhang J, Yuan Q, Ding X, Hu W, Fu P Q D, Zhang D Z (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
Li L, Lu C, Chan P W, Zhang X, Yang H L, Lan Z J, Zhang W H, Liu Y W, Pan L, Zhang L (2020b). Tower observed vertical distribution of PM2.5,O3 and NOx in the Pearl River Delta. Atmospheric Environment, 220: 117083
Li W, Yang J, Zhang D, Li B, Wang E, Yuan H (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
Li Y, Fu H, Wang W, Liu J, Meng Q, Wang W (2015). Characteristics of bacterial and fungal aerosols during the autumn haze days in Xi’an, China. Atmospheric Environment, 122: 439–447
Liu C, Dai H C, Zhang L, Feng C H (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
Lu R, Fan C, Liu P, Qi Y, Mu F, Xie Z, Kerr White J, Mette Madsen A, Li Y P (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
Thór Marteinsson VTRúnarsson Á, Stefánsson A, Thorsteinsson T, Jóhannesson T, Magnússon S H, Reynisson E, Einarsson B, Wade N, Morrison H G, Gaidos E, (2013). Microbial communities in the subglacial waters of the Vatnajokull ice cap, Iceland. ISME Journal, 7(2): 427–437
Mayol E, Arrieta J M, Jiménez M A, Martínez-Asensio A, Garcias-Bonet N, Dachs J, González-Gaya B, Royer S J, Benítez-Barrios V M, Fraile-Nuez E, Duarte C M (2017). Long-range transport of airborne microbes over the global tropical and subtropical ocean. Nature Communications, 8(1): 201
Michaud J M, Thompson L R, Kaul D, Espinoza J L, Richter R A, Xu Z Z, Lee C, Pham K M, Beall C M, Malfatti F, Azam F, Knight R, Burkart M D, Dupont C L, Prather K A (2018). Taxon-specific aerosolization of bacteria and viruses in an experimental ocean-atmosphere mesocosm. Nature Communications, 9(1): 2017
Smets W, Moretti S, Denys S, Lebeer S (2016). Airborne bacteria in the atmosphere: Presence, purpose, and potential. Atmospheric Environment, 139: 214–221
Sun Y, Song T, Tang G Q, Wang Y S (2013). The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing. Atmospheric Environment, 74: 413–421
Sun Y, Xu S, Zheng D, Li J, Tian H, Wang Y (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
Wang D, Wang Z, Peng Z R, Wang D (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
Wei M, Xu C H, Xu X M, Zhu C, Li J R, Lv G L (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
Woo C A (2013). Molecular ecology and public health risks of urban bio-aerosols. (Doctoral Thesis). Hong Kong: The University of Hong Kong
Xu C, Wei M, Chen J M, Zhu C, Li J R, Xu X M, Wang W X, Zhang Q Z, Ding A J, Kan H D, Zhao Z H, Mellouki A (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
Yoo K, Han I, Ko K S, Lee T K, Yoo H, Khan M I, Tiedje J M, Park J (2019). Bacillus-dominant airborne bacterial communities identified during Asian dust events. Microbial Ecology, 78(3): 677–687
Zhang K, Xu J L, Huang Q, Zhou L, Fu Q Y, Duan Y S, Xiu G L (2020). Precursors and potential sources of ground-level ozone in suburban Shanghai. Frontiers of Environmental Science & Engineering, 14(6): 92
Zhai Y, Li X, Wang T, Wang B, Li C, Zeng G (2018). A review on airborne microorganisms in particulate matters: Composition, characteristics and influence factors. Environment International, 113: 74–90
Zhong S, Zhang L, Jiang X, Gao P (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
Zielińska M, Rusanowska P, Jarzabek J, Nielsen J (2016). Community dynamics of denitrifying bacteria in full-scale wastewater treatment plants. Environmental Technology, 37(18): 2358–2367
This work was sponsored by the Shanghai Sailing Program (19YF1403200), National Natural Science Foundation of China (Grant Nos. 21906023, 91843301, 91743202, 21527814), Ministry of Science and Technology of China (No. 2016YFC0202700), Marie Skodowska-Curie Actions (690958-MARSU-RISE-2015), and China Postdoctoral Science Foundation (No. 2018M640331).
• 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.
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Xu, C., Chen, J., Wang, Z. et al. Diverse bacterial populations of PM2.5 in urban and suburb Shanghai, China. Front. Environ. Sci. Eng. 15, 37 (2021). https://doi.org/10.1007/s11783-020-1329-7