The source and transport of bioaerosols in the air: A review

Wenwen Xie, Yanpeng Li, Wenyan Bai, Junli Hou, Tianfeng Ma, Xuelin Zeng, Liyuan Zhang, Taicheng An

PDF(1943 KB)
PDF(1943 KB)
Front. Environ. Sci. Eng. ›› 2021, Vol. 15 ›› Issue (3) : 44. DOI: 10.1007/s11783-020-1336-8
REVIEW ARTICLE
REVIEW ARTICLE

The source and transport of bioaerosols in the air: A review

Author information +
History +

Highlights

• Emission of microbe from local environments is a main source of bioaerosols.

• Regional transport is another important source of the bioaerosols.

• There are many factors affecting the diffusion and transport of bioaerosols.

• Source identification method uncovers the contribution of sources of bioaerosols.

Abstract

Recent pandemic outbreak of the corona-virus disease 2019 (COVID-19) has raised widespread concerns about the importance of the bioaerosols. They are atmospheric aerosol particles of biological origins, mainly including bacteria, fungi, viruses, pollen, and cell debris. Bioaerosols can exert a substantial impact on ecosystems, climate change, air quality, and public health. Here, we review several relevant topics on bioaerosols, including sampling and detection techniques, characterization, effects on health and air quality, and control methods. However, very few studies have focused on the source apportionment and transport of bioaerosols. The knowledge of the sources and transport pathways of bioaerosols is essential for a comprehensive understanding of the role microorganisms play in the atmosphere and control the spread of epidemic diseases associated with them. Therefore, this review comprehensively summarizes the up to date progress on the source characteristics, source identification, and diffusion and transport process of bioaerosols. We intercompare three types of diffusion and transport models, with a special emphasis on a widely used mathematical model. This review also highlights the main factors affecting the source emission and transport process, such as biogeographic regions, land-use types, and environmental factors. Finally, this review outlines future perspectives on bioaerosols.

Graphical abstract

Keywords

Bioaerosols / Diffusion / Source identification / Biogeography

Cite this article

Download citation ▾
Wenwen Xie, Yanpeng Li, Wenyan Bai, Junli Hou, Tianfeng Ma, Xuelin Zeng, Liyuan Zhang, Taicheng An. The source and transport of bioaerosols in the air: A review. Front. Environ. Sci. Eng., 2021, 15(3): 44 https://doi.org/10.1007/s11783-020-1336-8

References

[1]
Abd Aziz A, Lee K, Park B, Park H, Park K, Choi I G, Chang I S (2018). Comparative study of the airborne microbial communities and their functional composition in fine particulate matter (PM2.5) under non-extreme and extreme PM2.5 conditions. Atmospheric Environment, 194: 82–92
CrossRef Google scholar
[2]
Alves D A, Glynn A R, Steele K E, Lackemeyer M G, Garza N L, Buck J G, Mech C, Reed D S (2010). Aerosol exposure to the Angola Strain of Marburg Virus causes lethal viral hemorrhagic fever in cynomolgus macaques. Veterinary Pathology, 47(5): 831–851
CrossRef Google scholar
[3]
Amato P, Joly M, Schaupp C, Attard E, Mohler O, Morris C E, Brunet Y, Delort A M (2015). Survival and ice nucleation activity of bacteria as aerosols in a cloud simulation chamber. Atmospheric Chemistry and Physics, 15(11): 6455–6465
CrossRef Google scholar
[4]
Anglada J M, Martins-Costa M, Francisco J S, Ruiz-Lopez M F (2015). Interconnection of reactive oxygen species chemistry across the interfaces of atmospheric, environmental, and biological processes. Accounts of Chemical Research, 48(3): 575–583
CrossRef Google scholar
[5]
Ansari T U, Valsan A E, Ojha N, Ravikrishna R, Narasimhan B, Gunthe S S (2015). Model simulations of fungal spore distribution over the Indian region. Atmospheric Environment, 122: 552–560
CrossRef Google scholar
[6]
Asadi S, Bouvier N, Wexler A S, Ristenpart W D (2020). The coronavirus pandemic and aerosols: Does COVID-19 transmit via expiratory particles? Aerosol Science and Technology, 54(6): 635–638
CrossRef Google scholar
[7]
Balyan P, Das S, Ghosh C, Baneriee B D (2017). Spatial variation of biogenic aerosols at different land use configurations in urban delhi. International Journal of Applied Environmental Sciences, 12(5(1)): 731–744
[8]
Balyan P, Ghosh C, Das S, Banerjee B D (2020). Spatio-temporal characterisation of bioaerosols at diverse outdoor land-use sites in an urban environment. Aerobiologia, 36(1): 77–81
CrossRef Google scholar
[9]
Barberan A, Dunn R R, Reich B J, Pacifici K, Laber E B, Menninger H L, Morton J M, Henley J B, Leff J W, Miller S L, Fierer N (2015a). The ecology of microscopic life in household dust. Proceedings of the Royal Society B-Biological Sciences, 282(1814): 212–220
[10]
Barberan A, Ladau J, Leff J W, Pollard K S, Menninger H L, Dunn R R, Fierer N (2015b). Continental-scale distributions of dust-associated bacteria and fungi. Proceedings of the National Academy of Sciences of the United States of America, 112(18): 5756–5761
CrossRef Google scholar
[11]
Barnaba F, Bolignano A, Di Liberto L, Morelli M, Lucarelli F, Nava S, Perrino C, Canepari S, Basart S, Costabile F, Dionisi D, Ciampichetti S, Sozzi R, Gobbi G P (2017). Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50. Atmospheric Environment, 161: 288–305
CrossRef Google scholar
[12]
Bauer H, Giebl H, Hitzenberger R, Kasper-Giebl A, Reischl G, Zibuschka F, Puxbaum H (2003). Airborne bacteria as cloud condensation nuclei. Journal of Geophysical Research, 108(D21): AAC2–1–AAC2–AAC2–5
[13]
Bowers R M, 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
CrossRef Google scholar
[14]
Bowers R M, Mcletchie S, Knight R, Fierer N (2011a). Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments. ISME Journal, 5(4): 601–612
CrossRef Google scholar
[15]
Bowers R M, Sullivan A P, Costello E K, Collett J L Jr, Knight R, Fierer N (2011b). Sources of bacteria in outdoor air across cities in the midwestern United States. Applied and Environmental Microbiology, 77(18): 6350–6356
CrossRef Google scholar
[16]
Bui V N, Nguyen T T, Hung N V, Bui A N, Mccallion K A, Lee H S, Than S T, Coleman K K, Gray G C (2019). Bioaerosol sampling to detect avian influenza virus in Hanoi’s largest live poultry market. Clinical Infectious Diseases, 68(6): 972–975
CrossRef Google scholar
[17]
Burrows S M, Butler T, Jöckel P, Tost H, Kerkweg A, Pöschl U, Lawrence M G (2009a). Bacteria in the global atmosphere – part 2: modeling of emissions and transport between different ecosystems. Atmospheric Chemistry and Physics, 9(23): 9281–9297
CrossRef Google scholar
[18]
Burrows S M, Elbert W, Lawrence M G, Pöschl U (2009b). Bacteria in the global atmosphere – part 1: review and synthesis of literature data for different ecosystems. Atmospheric Chemistry and Physics, 9(23): 9263–9280
CrossRef Google scholar
[19]
Burrows S M, Rayner P J, Butler T, Lawrence M G (2013). Estimating bacteria emissions from inversion of atmospheric transport: sensitivity to modelled particle characteristics. Atmospheric Chemistry and Physics, 13(11): 5473–5488
CrossRef Google scholar
[20]
Cáliz J, Triadó-Margarit X, Camarero L, Casamayor E O (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
CrossRef Google scholar
[21]
Cha S, Lee D, Jang J H, Lim S, Yang D, Seo T (2016). Alterations in the airborne bacterial community during Asian dust events occurring between February and March 2015 in Korea. Scientific Reports, 6(1): 37271
CrossRef Google scholar
[22]
Chao J, Mu X, Xue Y, Li F, Li W, Lin C H, Pei J, Chen Q (2014). A modified tracer-gas decay model for ventilation rate measurements in long and narrow spaces. Indoor and Built Environment, 23(7): 1012–1020
CrossRef Google scholar
[23]
Chi X L, Tang Z Y, Fang J Y (2014). Patterns of phylogenetic beta diversity in China’s grasslandsin in relation to geographical and environmental distance. Basic and Applied Ecology, 15(5): 416–425
CrossRef Google scholar
[24]
Cho B C, Hwang C Y (2011). Prokaryotic abundance and 16S rRNA gene sequences detected in marine aerosols on the East Sea (Korea). FEMS Microbiology Ecology, 76(2): 327–341
CrossRef Google scholar
[25]
Costello E K, Lauber C L, Hamady M, Fierer N, Gordon J I, Knight R (2009). Bacterial community variation in human body habitats across space and time. Science, 326(5960): 1694–1697
CrossRef Google scholar
[26]
Dai P, Shen D, Tang Q, Huang K, Li C (2020). PM2.5 from a broiler breeding production system: The characteristics and microbial community analysis. Environmental Pollution, 256: 113368
CrossRef Google scholar
[27]
Degois J, Clerc F, Simon X, Bontemps C, Leblond P, Duquenne P (2017). First metagenomic survey of the microbial diversity in bioaerosols emitted in waste sorting plants. Annals of Work Exposures and Health, 61(9): 1076–1086
CrossRef Google scholar
[28]
Després V, Huffman J A, Burrows S M, Hoose C, Safatov A, Buryak G, Fröhlich-Nowoisky J, Elbert W, Andreae M, Pöschl U, Jaenicke R (2012). Primary biological aerosol particles in the atmosphere: a review. Tellus B. Chemical and Physical Meteorology, 64(1): 15598
CrossRef Google scholar
[29]
Després V, Nowoisky J, Klose M, Conrad R, Pöschl U (2007). Molecular genetics and diversity of primary biogenic aerosol particles in urban, rural, and high-alpine air. Biogeosciences Discussions, 4(1): 349–384
CrossRef Google scholar
[30]
Du P, Du R, Ren W, Lu Z, Fu P (2018). Seasonal variation characteristic of inhalable microbial communities in PM2.5 in Beijing city, China. Science of the Total Environment, 610–611: 308–315
CrossRef Google scholar
[31]
El Jarroudi M, Karjoun H, Kouadio L, El Jarroudi M (2020). Mathematical modelling of non-local spore dispersion of wind-borne pathogens causing fungal diseases. Applied Mathematics and Computation, 376: 125107
CrossRef Google scholar
[32]
Estillore A D, Trueblood J V, Grassian V H (2016). Atmospheric chemistry of bioaerosols: heterogeneous and multiphase reactions with atmospheric oxidants and other trace gases. Chemical Science (Cambridge), 7(11): 6604–6616
CrossRef Google scholar
[33]
Fan C, Li Y, Liu P, Mu F, Xie Z, Lu R, Qi Y, Wang B, Jin C (2019). Characteristics of airborne opportunistic pathogenic bacteria during autumn and winter in Xi’an, China. Science of the Total Environment, 672: 834–845
CrossRef Google scholar
[34]
Fan H, Li X, Deng J, Da G, Gehin E, Yao M (2017). Time-dependent sze-resolved bacterial and fungal aerosols in Beijing subway. Aerosol and Air Quality Research, 17(3): 799–809
CrossRef Google scholar
[35]
Fraczek K, Kozdrój J, Górny R L, Cyprowski M, Golofit-Szymczak M (2017). Fungal air contamination in distinct sites within a municipal landfill area. International Journal of Environmental Science and Technology, 14(12): 2637–2648
CrossRef Google scholar
[36]
Fröhlich-Nowoisky J, Kampf C J, Weber B, Huffman J A, Pöhlker C, Andreae M O, Lang-Yona N, Burrows S M, Gunthe S S, Elbert W, Su H, Hoor P, Thines E, Hoffmann T, Després V R, Pöschl U (2016). Bioaerosols in the Earth system: Climate, health, and ecosystem interactions. Atmospheric Research, 182: 346–376
CrossRef Google scholar
[37]
Garrison V H, Majewski M S, Foreman W T, Genualdi S A, Mohammed A, Simonich S L M (2014). Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean. Science of the Total Environment, 468–469: 530–543
CrossRef Google scholar
[38]
Garza A G, Van Cuyk S M, Brown M J, Omberg K M (2014). Detection of the urban release of a bacillus anthracis simulant by air sampling. Biosecurity and Bioterrorism, 12(2): 66–75
CrossRef Google scholar
[39]
Genitsaris S, Stefanidou N, Katsiapi M, Kormas K A, Sommer U, Moustaka-Gouni M (2017). Variability of airborne bacteria in an urban Mediterranean area (Thessaloniki, Greece). Atmospheric Environment, 157: 101–110
CrossRef Google scholar
[40]
Ghanizadeh F, Godini H (2018). A review of the chemical and biological pollutants in indoor air in hospitals and assessing their effects on the health of patients, staff and visitors. Reviews on Environmental Health, 33(3): 231–245
CrossRef Google scholar
[41]
Gopalakrishnan S, Arigela R, Gupta S K, Raghunathan R (2019). Dynamic response of passive release of fungal spores from exposure to air. Journal of Aerosol Science, 133: 37–48
CrossRef Google scholar
[42]
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
CrossRef Google scholar
[43]
Hagerman A D, South D D, Sondgerath T C, Patyk K A, Sanson R L, Schumacher R S, Delgado A H, Magzamen S (2018). Temporal and geographic distribution of weather conditions favorable to Check 1 airborne spread of foot-and-mouth disease in the coterminous United States. Preventive Veterinary Medicine, 161: 41–49
CrossRef Google scholar
[44]
Han H J, Wen H L, Zhou C M, Chen F F, Luo L M, Liu J W, Yu X J (2015). Bats as reservoirs of severe emerging infectious diseases. Virus Research, 205: 1–6
CrossRef Google scholar
[45]
Hoose C, Kristjansson J E, Burrows S M (2010). How important is biological ice nucleation in clouds on a global scale? Environmental Research Letters, 5(2): 024009
CrossRef Google scholar
[46]
Hospodsky D, Yamamoto N, Nazaroff W W, Miller D, Gorthala S, Peccia J (2015). Characterizing airborne fungal and bacterial concentrations and emission rates in six occupied children’s classrooms. Indoor Air, 25(6): 641–652
CrossRef Google scholar
[47]
Hsiao T C, Lin A Y C, Lien W C, Lin Y C (2020). Size distribution, biological characteristics and emerging contaminants of aerosols emitted from an urban wastewater treatment plant. Journal of Hazardous Materials, 388: 121809
CrossRef Google scholar
[48]
Hu W, Murata K, Fukuyama S, Kawai Y, Oka E, Uematsu M, Zhang D (2017). Concentration and viability of airborne bacteria over the kuroshio extension region in the northwestern Pacific Ocean: data from three cruises. Journal of Geophysical Research, D, Atmospheres, 122(23): 12891–12905
CrossRef Google scholar
[49]
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 Reports, 6(2): 65–89
CrossRef Google scholar
[50]
Hummel M, Hoose C, Gallagher M, Healy D A, Huffman J A, O’connor D, Poschl U, Pohlker C, Robinson N H, Schnaiter M, Sodeau J R, Stengel M, Toprak E, Vogel H (2015). Regional-scale simulations of fungal spore aerosols using an emission parameterization adapted to local measurements of fluorescent biological aerosol particles. Atmospheric Chemistry and Physics, 15(11): 6127–6146
CrossRef Google scholar
[51]
Jahne M A, Rogers S W, Holsen T M, Grimberg S J, Ramler I P, Kim S (2016). Bioaerosol deposition to food crops near manure application: Quantitative microbial risk assessment. Journal of Environmental Quality, 45(2): 666–674
CrossRef Google scholar
[52]
Jones A M, Harrison R M (2004). The effects of meteorological factors on atmospheric bioaerosol concentrations—a review. Science of the Total Environment, 326(1/3): 151–180
CrossRef Google scholar
[53]
Joung Y S, Ge Z F, Buie C R (2017). Bioaerosol generation by raindrops on soil. Nature Communications, 8(1): 14668
CrossRef Google scholar
[54]
Kang S M, Heo K J, Lee B U (2015). Why does rain increase the concentrations of environmental bioaerosols during monsoon? Aerosol and Air Quality Research, 15(6): 2320–2324
CrossRef Google scholar
[55]
Kim K H, Kabir E, Jahan S A (2018). Airborne bioaerosols and their impact on human health. Journal of Environmental Sciences-China, 67: 23–35
CrossRef Google scholar
[56]
Knights D, Kuczynski J, Charlson E S, Zaneveld J, Mozer M C, Collman R G, Bushman F D, Knight R, Kelley S T (2011). Bayesian community-wide culture-independent microbial source tracking. Nature Methods, 8(9): 761–763
CrossRef Google scholar
[57]
Kowalski M, Pastuszka J S (2018). Effect of ambient air temperature and solar radiation on changes in bacterial and fungal aerosols concentration in the urban environment. Annals of Agricultural and Environmental Medicine, 25(2): 259–261
CrossRef Google scholar
[58]
Kowalski M, Wolany J, Pastuszka J S, Plaza G, Wlazlo A, Ulfig K, Malina A (2017). Characteristics of airborne bacteria and fungi in some Polish wastewater treatment plants. International Journal of Environmental Science and Technology, 14(10): 2181–2192
CrossRef Google scholar
[59]
Kumari P, Woo C, Yamamoto N, Choi H L (2016). Variations in abundance, diversity and community composition of airborne fungi in swine houses across seasons. Scientific Reports, 6(1): 37929
CrossRef Google scholar
[60]
Lee I, Bitog J P P, Hong S W, Seo I H, Kwon K S, Bartzanas T, Kacira M (2013). The past, present and future of CFD for agro-environmental applications. Computers and Electronics in Agriculture, 93: 168–183
CrossRef Google scholar
[61]
Li W, Yang J, Zhang D, Li B, Wang E, Yuan H (2018). Concentration and community of airborne bacteria in response to cyclicalhaze events during the fall and midwinter in Beijing, China. Frontiers in Microbiology, 9: 12
[62]
Lin Y, Xiangdong L, Yihuan Y, Jiyuan T (2018). Effects of cough-jet on airflow and contaminant transport in an airliner cabin section. Journal of Computational Multiphase Flows, 10(2): 72–82
CrossRef Google scholar
[63]
Lindsley W G, Blachere F M, Thewlis R E, Vishnu A, Davis K A, Cao G, Palmer J E, Clark K E, Fisher M A, Khakoo R, Beezhold D H (2010). Measurements of airborne influenza virus in aerosol particles from human coughs. PLoS One, 5(11): e15100
CrossRef Google scholar
[64]
Lu R, Li Y P, Li W X, Xie Z S, Fan C L, Liu P X, Deng S X (2018). Bacterial community structure in atmospheric particulate matters of different sizes during the haze days in Xi’an, China. Science of the Total Environment, 637–638: 244–252
CrossRef Google scholar
[65]
Luckey D T (1972). Introduction to intestinal microecology. American Journal of Clinical Nutrition, 25(12): 1292–1294
CrossRef Google scholar
[66]
Lymperopoulou D S, Adams R I, Lindow S E (2016). Contribution of vegetation to the microbial composition of nearby outdoor air. Applied and Environmental Microbiology, 82(13): 3822–3833
CrossRef Google scholar
[67]
Ma J, Qi X, Chen H, Li X, Zhang Z, Wang H, Sun L, Zhang L, Guo J, Morawska L, Grinshpun S A, Biswas P, Flagan R C, Yao M (2020). COVID-19 patients in earlier stages exhaled millions of SARS-CoV-2 per hour. Clinical Infectious Diseases, ciaa1283
CrossRef Google scholar
[68]
Ma M, Zhen Y, Mi T (2019). Characterization of bacterial communities in bioaerosols over northern chinese marginal seas and the northwestern Pacific Ocean in spring. Journal of Applied Meteorology and Climatology, 58(4): 903–917
CrossRef Google scholar
[69]
Makhalanyane T P, Valverde A, Gunnigle E, Frossard A, Ramond J B, Cowan D A (2015). Microbial ecology of hot desert edaphic systems. FEMS Microbiology Reviews, 39(2): 203–221
CrossRef Google scholar
[70]
Maki T, Furumoto S, Asahi Y, Lee K C, Watanabe K, Aoki K, Murakami M, Tajiri T, Hasegawa H, Mashio A, Iwasaka Y (2018). Long-range-transported bioaerosols captured in snow cover on Mount Tateyama, Japan: impacts of Asian-dust events on airborne bacterial dynamics relating to ice-nucleation activities. Atmospheric Chemistry and Physics, 18(11): 8155–8171
CrossRef Google scholar
[71]
Martin E, Kampfer P, Jackel U (2010). Quantification and identification of culturable airborne bacteria from duck houses. Annals of Occupational Hygiene, 54(2): 217–227
[72]
Matthias-Maser S, Jaenicke R (1995). The size distribution of primary biological aerosol particles with radii>0. 2 mm in an urban /rural influenced region. Atmospheric Research, 39(4): 279–286
CrossRef Google scholar
[73]
McEachran A D, Blackwell B R, Hanson J D, Wooten K J, Mayer G D, Cox S B, Smith P N (2015). Antibiotics, bacteria, and antibiotic resistance genes: aerial transport from cattle feed yards via particulate matter. Environmental Health Perspectives, 123(4): 337–343
CrossRef Google scholar
[74]
Mhuireach G, Johnson B R, Altrichter A E, Ladau J, Meadow J F, Pollard K S, Green J L (2016). Urban greenness influences airborne bacterial community composition. Science of the Total Environment, 571: 680–687
CrossRef Google scholar
[75]
Michalkiewicz M (2019). Wastewater treatment plants as a source of bioaerosols. Polish Journal of Environmental Studies, 28(4): 2261–2271
CrossRef Google scholar
[76]
Mu F F, Li Y P, Lu R, Qi Y Z, Xie W W, Bai W Y (2020). Source identification of airborne bacteria in the mountainous area and the urban areas. Atmospheric Research, 231: 104676
CrossRef Google scholar
[77]
Murata K, Zhang D Z (2016). Concentration of bacterial aerosols in response to synoptic weather and land-sea breeze at a seaside site downwind of the Asian continent. Journal of Geophysical Research, D, Atmospheres, 121(19): 11636–11647
CrossRef Google scholar
[78]
Nemergut D R, Costello E K, Hamady M, Lozupone C, Jiang L, Schmidt S K, Fierer N, Townsend A R, Cleveland C C, Stanish L, Knight R (2011). Global patterns in the biogeography of bacterial taxa. Environmental Microbiology, 13(1): 135–144
CrossRef Google scholar
[79]
Nguyen T, Yu X X, Zhang Z M, Liu M M, Liu X H (2015). Relationship between types of urban forest and PM2.5 capture at three growth stages of leaves. Journal of Environmental Sciences-China, 27: 33–41
CrossRef Google scholar
[80]
Núñez A, Amo De Paz G, Rastrojo A, Ferencova Z, Gutiérrez-Bustillo A M, Alcamí A, Moreno D A, Guantes R (2019). Temporal patterns of variability for prokaryotic and eukaryotic diversity in the urban air of Madrid (Spain). Atmospheric Environment, 217: 116972
CrossRef Google scholar
[81]
Oduber F, Calvo A I, Blanco-Alegre C, Castro A, Nunes T, Alves C, Sorribas M, Feraandez-Gonzalez D, Vega-Maray A M, Valencia-Barrera R M, Lucarelli F, Nava S, Calzolai G, Alonso-Blanco E, Fraile B, Fialho P, Coz E, Prevot A S H, Pont V, Fraile R (2019). Unusual winter Saharan dust intrusions at Northwest Spain: Air quality, radiative and health impacts. Science of the Total Environment, 669: 213–228
CrossRef Google scholar
[82]
Pagalilauan H a M, Paraoan C E M, Vital P G (2018). Detection of pathogenic bioaerosols and occupational risk in a Philippine landfill site. Archives of Environmental & Occupational Health, 73(2): 107–114
[83]
Pellissier L, Oppliger A, Hirzel A H, Savova-Bianchi D, Mbayo G, Mascher F, Kellenberger S, Niculita-Hirzel H (2016). Airborne and grain dust fungal community compositions are shaped regionally by plant genotypes and farming practices. Applied and Environmental Microbiology, 82(7): 2121–2131
CrossRef Google scholar
[84]
Poschl U, Shiraiwa M (2015). Multiphase chemistry at the atmosphere-biosphere interface influencing climate and public health in the anthropocene. Chemical Reviews, 115(10): 4440–4475
CrossRef Google scholar
[85]
Qi Y Z, Li Y P, Xie W W, Lu R, Mu F F, Bai W Y, Du S L (2020). Temporal-spatial variations of fungal composition in PM2.5 and source tracking of airborne fungi in mountainous and urban regions. Science of the Total Environment, 708: 135027
CrossRef Google scholar
[86]
Redford A J, Bowers R M, Knight R, Yan L, Fierer N (2010). The ecology of the phyllosphere: geographic and phylogenetic variability in the distribution of bacteria on tree leaves. Environmental Microbiology, 12(11): 2885–2893
CrossRef Google scholar
[87]
Rodo X, Ballester J, Cayan D, Melish M E, Nakamura Y, Uehara R, Burns J C (2011). Association of Kawasaki disease with tropospheric wind patterns. Scientific Reports, 1(1): 152
CrossRef Google scholar
[88]
Runlan Y, Shuokun W, Xueling W, Li S, Yuandong L, Jiaokun L, Guanzhou Q, Weimin Z (2019). Community structure variation associated with airborne particulate matter at central south of China during hazy and nonhazy days. Atmospheric Pollution Research, 10(5): 1536–1542
CrossRef Google scholar
[89]
Šantl-Temkiv T, Gosewinkel U, Starnawski P, Lever M, Finster K (2018). Aeolian dispersal of bacteria in southwest Greenland: their sources, abundance, diversity and physiological states. FEMS Microbiology Ecology, 94(4):1–10
CrossRef Google scholar
[90]
Sesartic A, Lohmann U, Storelvmo T (2012). Bacteria in the ECHAM5-HAM global climate model. Atmospheric Chemistry and Physics, 12(18): 8645–8661
CrossRef Google scholar
[91]
Sialve B, Gales A, Hamelin J, Wery N, Steyer J P (2015). Bioaerosol emissions from open microalgal processes and their potential environmental impacts: what can be learned from natural and anthropogenic aquatic environments? Current Opinion in Biotechnology, 33: 279–286
CrossRef Google scholar
[92]
Skora J, Matusiak K, Wojewodzki P, Nowak A, Sulyok M, Ligocka A, Okrasa M, Hermann J, Gutarowska B (2016). Evaluation of microbiological and chemical contaminants in poultry farms. International Journal of Environmental Research and Public Health, 13(2): 192
CrossRef Google scholar
[93]
Smets W, Moretti S, Denys S, Lebeer S (2016). Airborne bacteria in the atmosphere: Presence, purpose, and potential. Atmospheric Environment, 139: 214–221
CrossRef Google scholar
[94]
Stein A F, Draxler R R, Rolph G D, Stunder B J B, Cohen M D, Ngan F (2015). NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society, 96(12): 2059–2077
CrossRef Google scholar
[95]
Stockwell R E, Ballard L, O’rourke P, Knibbs L D, Morawska L, Bell S C (2019). Indoor hospital air and the impact of ventilation on bioaerosols: a systematic review. Journal of Hospital Infection, 103(2): 175–184
CrossRef Google scholar
[96]
Szylak-Szydlowski M, Kulig A, Miaśkiewicz-Peska E (2016). Seasonal changes in the concentrations of airborne bacteria emitted from a large wastewater treatment plant. International Biodeterioration & Biodegradation, 115: 11–16
CrossRef Google scholar
[97]
Tanaka D, Sato K, Goto M, Fujiyoshi S, Maruyama F, Takato S, Shimada T, Sakatoku A, Aoki K, Nakamura S (2019). Airborne microbial communities at high-altitude and suburban sites in Toyama, Japan Suggest a new perspective for bioprospecting. Frontiers in Bioengineering and Biotechnology, 7: 12
CrossRef Google scholar
[98]
Tang J W (2009). The effect of environmental parameters on the survival of airborne infectious agents. Journal of the Royal Society, Interface, 6(Suppl 6): S737–S746
CrossRef Google scholar
[99]
Tang K, Huang Z, Huang J, Maki T, Zhang S, Shimizu A, Ma X, Shi J, Bi J, Zhou T, Wang G, Zhang L (2018). Characterization of atmospheric bioaerosols along the transport pathway of Asian dust during the Dust-Bioaerosol 2016 Campaign. Atmospheric Chemistry and Physics, 18(10): 7131–7148
CrossRef Google scholar
[100]
Thatiparti D S, Ghia U, Mead K R (2017). Computational fluid dynamics study on the influence of an alternate ventilation configuration on the possible flow path of infectious cough aerosols in a mock airborne infection isolation room. Science and Technology for the Built Environment, 23(2): 355–366
CrossRef Google scholar
[101]
Theofel C G, Williams T R, Gutierrez E, Davidson G R, Jay-Russell M, Harris L J (2020). Microorganisms move a short distance into an almond orchard from an adjacent upwind poultry operation. Applied and Environmental Microbiology, 86(15): e00573–20
CrossRef Google scholar
[102]
Uetake J, Tobo Y, Uji Y, Hill T C J, Demott P J, Kreidenweis S M, Misumi R (2019). Seasonal changes of airborne bacterial communities over Tokyo and influence of local meteorology. Frontiers in Microbiology, 10: 1572
CrossRef Google scholar
[103]
van Doremalen N, Bushmaker T, Morris D H, Holbrook M G, Gamble A, Williamson B N, Tamin A, Harcourt J L, Thornburg N J, Gerber S I, Lloyd-Smith J O, De Wit E, Munster V J (2020). Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. New England Journal of Medicine, 382(16): 1564–1567
CrossRef Google scholar
[104]
Varin T, Lovejoy C, Jungblut A D, Vincent W F, Corbeil J (2012). Metagenomic analysis of stress genes in microbial mat communities from Antarctica and the High Arctic. Applied and Environmental Microbiology, 78(2): 549–559
CrossRef Google scholar
[105]
Vejerano E P, Marr L C (2018). Physico-chemical characteristics of evaporating respiratory fluid droplets. Journal of the Royal Society, Interface, 15(139): 20170939
CrossRef Google scholar
[106]
Veresoglou S D, Rillig M C (2014). Challenging cherished ideas in mycorrhizal ecology: the Baylis postulate. New Phytologist, 204(1): 1–3
CrossRef Google scholar
[107]
Vorholt J A (2012). Microbial life in the phyllosphere. Nature Reviews. Microbiology, 10(12): 828–840
CrossRef Google scholar
[108]
Wang J M, Chen C, Li J W, Feng Y M, Lu Q (2019). Different ecological processes determined the alpha and beta components of taxonomic, functional, and phylogenetic diversity for plant communities in dryland regions of Northwest China. PeerJ, 6: e6220
CrossRef Google scholar
[109]
Wei J J, Li Y G (2016). Airborne spread of infectious agents in the indoor environment. American Journal of Infection Control, 44(9): S102–S108
CrossRef Google scholar
[110]
White J K, Nielsen J L, Madsen A M (2019). Microbial species and biodiversity in settling dust within and between pig farms. Environmental Research, 171: 558–567
CrossRef Google scholar
[111]
William B W, David C C, Wiebe W J (1998). Prokaryotes: The unseen majority. Proceedings of the National Academy of Sciences of the United States of America, 95: 6578–6583
[112]
Wong L T, Chan W Y, Mui K W, Lai A C K (2010). An experimental and numerical study on deposition of bioaerosols in a scaled chamber. Aerosol Science and Technology, 44(2): 117–128
CrossRef Google scholar
[113]
Xie Z, Fan C, Lu R, Liu P, Wang B, Du S, Jin C, Deng S, Li Y (2018). Characteristics of ambient bioaerosols during haze episodes in China: A review. Environmental Pollution, 243(Pt B): 1930–1942
[114]
Xiong J B, Liu Y Q, Lin X G, Zhang H Y, Zeng J, Hou J Z, Yang Y P, Yao T D, Knight R, Chu H Y (2012). Geographic distance and pH drive bacterial distribution in alkaline lake sediments across Tibetan Plateau. Environmental Microbiology, 14(9): 2457–2466
CrossRef Google scholar
[115]
Xu C, Wei M, Chen J, Zhu C, Li J, Xu X, Wang W, Zhang Q, Ding A, Kan H, Zhao Z, 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
CrossRef Google scholar
[116]
Xu C H, Wei M H, Chen J M, Wang X F, Zhu C, Li J R, Zheng L L, Sui G D, Li W J, Wang W X, Zhang Q Z, Mellouki A (2017). Bacterial characterization in ambient submicron particles during severe haze episodes at Ji’nan, China. Science of the Total Environment, 580: 188–196
CrossRef Google scholar
[117]
Xu G, Han Y, Li L, Liu J (2018). Characterization and source analysis of indoor/outdoor culturable airborne bacteria in a municipal wastewater treatment plant. Journal of Environmental Sciences-China, 74: 71–78
CrossRef Google scholar
[118]
Zhang J, Li Y, Xu E, Jiang L, Tang J, Li M, Zhao X, Chen G, Zhu H, Yu X, Zhang X (2019). Bacterial communities in PM2.5 and PM10 in broiler houses at different broiler growth stages in spring. Polish Journal of Veterinary Sciences, 22(3): 495–504
[119]
Zhen Q, Deng Y, Wang Y, Wang X, Zhang H, Sun X, Ouyang Z (2017). Meteorological factors had more impact on airborne bacterial communities than air pollutants. Science of the Total Environment, 601–602: 703–712
CrossRef Google scholar

Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant No. 51478045), the Fund Project of Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control (GKECHRC-07), the Fund Project of Shaanxi Key Laboratory of Land Consolidation (2018-ZD04), and the Opening Fund of State Key Laboratory of Green Building in Western China (LSKF202008).

RIGHTS & PERMISSIONS

2020 Higher Education Press
AI Summary AI Mindmap
PDF(1943 KB)

Accesses

Citations

Detail

Sections
Recommended

/