Variation of correlations between factors and culturable airborne bacteria and fungi

Gao, Min; Xu, Yan; Qiu, Tian; Han, Min; Wang, Xüming

doi:10.1016/j.atmosenv.2015.12.008

Cited by 75 publications

(41 citation statements)

References 34 publications

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“…Notably, atmospheric microorganisms are subject to a wide range of environmental conditions including meteorological factors and the physiochemical composition of aerosols (Womack et al, 2010). Community structure and function are closely related to the environmental characteristics in the atmosphere and the geomorphic characteristics (Dong et al, 2016;Gao et al, 2016). For instance, studies about inhalable bioaerosols suggest that environmental parameters including temperature, relative humidity, PM 10 , PM 2.5 , and particle size have a significant impact on the composition and dynamics of microbial communities (Adhikari et al, 2006;Bowers et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

Wei

Chen

et al. 2017

Atmos. Chem. Phys.

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Abstract. Bacteria are widely distributed in atmospheric aerosols and are indispensable components of clouds, playing an important role in the atmospheric hydrological cycle. However, limited information is available about the bacterial community structure and function, especially for the increasing air pollution in the North China Plain. Here, we present a comprehensive characterization of bacterial community composition, function, variation, and environmental influence for cloud water collected at Mt Tai from 24 July to 23 August 2014. Using Miseq 16S rRNA gene sequencing, the highly diverse bacterial community in cloud water and the predominant phyla of Proteobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes were investigated. Bacteria that survive at low temperature, radiation, and poor nutrient conditions were found in cloud water, suggesting adaption to an extreme environment. The bacterial gene functions predicted from the 16S rRNA gene using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) suggested that the pathways related to metabolism and disease infections were significantly correlated with the predominant genera. The abundant genera Acinetobacter, Stenotrophomonas, Pseudomonas, and Empedobacter originated from a wide range of habitats including cloud condensation nuclei and ice nuclei active species, opportunistic pathogens, and functional species, demonstrating the importance of ecology and health in cloud water. Cluster analysis including hierarchical cluster (Hcluster) and principal coordinate analysis (PCoA) indicated a significant disparity between polluted and non-polluted samples. Linear discriminant analysis effect size (LEfSe) demonstrated that potential pathogens were enriched in the polluted cloud samples, whereas the diverse ecological function groups were significant in the non-polluted samples. Discrepant community structure determined by redundancy analysis (RDA) indicated that the major ions in cloud water and PM2. 5 in the atmosphere have a negative impact on bacteria, playing a vital role in shaping microbial community structure. The major ions might provide nutrition to bacteria and directly influence the bacterial community, whereas PM2. 5 in air has an indirect impact on bacterial community structure. During wet deposition, soluble particulate matter was dissolved in water droplets resulting in elevated concentration in cloud water. PM2. 5 was possibly associated with different origins and pathways of air mass as determined using source tracking by the backward trajectory, mainly related to long-range transport. This work enhanced our understanding of the characteristics of bacterial ecology in the atmospheric aqueous phase, highlighting the potential influence of environmental variables on the bacterial community in cloud processes. It may provide fundamental information of the bacterial community response in cloud water under increasing pollution. However, due to the limited sample size (13 samples) collected at the summit of Mt Tai, these issues need in-depth discussion. Further studies based on an annual series of field observation experiments and laboratory simulations will continue to track these issues.

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Section: Introductionmentioning

confidence: 99%

Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

Wei

Chen

et al. 2017

Atmos. Chem. Phys.

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“…Therefore, a weak negative relationship was found between PM and bacterial aerosol in winter. A possible reason for this is that winter PM contains components that have a negative effect on the cultivation and survival of bioaerosols [34].…”

Section: The Influence Of Pmmentioning

confidence: 99%

“…Changes in microbial dispersal patterns and aerodynamic diameters could lead to variations in deposition locations in human respiratory tracts. At high PM concentrations, the potential synergistic effects between biological and chemical pollutants may further intensify their hazardous effects on human health [34]. Polish legislation [50] specifies a 24 h mean concentration of PM 10 in ambient air, which is 50 µg/m 3 .…”

Section: The Influence Of Pmmentioning

confidence: 99%

Concentration and Size Distribution of Culturable Bacteria in Ambient Air during Spring and Winter in Gliwice: A Typical Urban Area

2017

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Abstract:The concentrations and size distributions of culturable bacterial aerosols were measured during spring and winter in outdoor air in Gliwice, Upper Silesia, Poland. This research on culturable bacteria was carried over a period of two years. The samples were collected using a six-stage Andersen cascade impactor (with aerodynamic cut-off diameters of 7.0, 4.7, 3.3, 2.1, 1.1, and 0.65 µm). The results showed that the average concentration of culturable bacterial aerosol was 355 CFU m −3 in spring, which was four times higher than during winter (65 CFU m −3 ). Bacterial aerosol concentrations showed the unimodal size distribution with the highest range of 3.3-4.7 µm particles. The seasonal distributions of bacterial aerosol grain clearly indicate that, in winter, the size distribution of particles <7 µm is more "flattened" and is characterized by an increased share of fine fractions and a decreased share of coarse ones. Environmental parameters, such as temperature, UV radiation, relative humidity, wind velocity, as well as PM 10 and PM 2.5 concentrations, were measured in order to analyse whether environmental factors had any effect on bacterial aerosols. Statistically, the most important meteorological factors in the viability of airborne bacteria were temperature and UV radiation.

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“…Gao et al (2015a) also indicated that there was no obvious relationship between cultivable fungi and haze levels over the four seasons. However, previous studies showed fungal communities in the atmosphere were influenced by many factors such as wind, sunlight, pollutants, sources and geographical location (Woo et al, 2013;Gao et al, 2016;Yan et al, 2016). Our results implied that the stability of sources of airborne fungi were the most important factor for variation of community structure in a short period of time.…”

Section: Impact Of Emission Control and Air Quality Levels On The Funmentioning

confidence: 52%

“…Cao et al (2014) first investigated different species of the airborne microbes in PM 2.5 using metagenome analysis during a severe smog event in Beijing city and suggested that majority of them were nonpathogenic to humans. Subsequently, correlation between various factors and cultivable bacteria or fungi during haze and non-haze days in Beijing have been studied (Gao et al, 2015b;Gao et al, 2016) with increasing focus on the species composition and dynamics of bioaerosol particles (Wei et al, 2016). Recently, high-throughput sequencing technology based on the rRNA gene of microorganisms and metagenomes are being used to survey the composition and diversity of microbial communities in atmospheric particles (Nonnenmann et al, 2010;Bowers et al, 2011a;Cao et al, 2014;Gao et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Variation of Bacterial and Fungal Community Structures in PM2.5 Collected during the 2014 APEC Summit Periods

Lù

et al. 2018

Aerosol Air Qual. Res.

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The biological fraction of PM 2.5 is considered to be a major cause of various allergies and respiratory diseases. Nonetheless, differences in bacterial and fungal communities in PM 2.5 under different air quality conditions are not well known. In the present study, we collected PM 2.5 samples from October 15, 2014 to November 12, 2014 when several successive "AsiaPacific Economic Cooperation (APEC) blue" days were recorded, following the implementation of strict emission control measures to ensure the APEC summit held during November 5-11, 2014 in Beijing. This study analyzed bacteria and fungi in PM 2.5 samples through rRNA gene high-throughput sequencing. In total, 690 genera of bacteria and 229 genera of fungi were detected. The variations of species richness and community diversity of bacteria and fungi in PM 2.5 were not affected significantly by the emission control measures adopted during the summit and different air quality levels. The bacterial and fungal community structures in PM 2.5 collected during the summit exhibited over 83.7% and 79.6% similarities respectively, with PM 2.5 collected from air graded as "good" quality (AQI ≤ 100) before the APEC summit. Bacteria and fungi in PM 2.5 samples collected at AQI levels between 101-200 and 201-300 before the APEC summit had more than 73.4% and 76.3% community structure similarity, respectively, with PM 2.5 samples collected at AQI ≤ 100. The difference between day and night PM 2.5 samples was very small for bacterial and fungal community structures. Furthermore, most of the inhalable bacteria and fungi were nonpathogenic and no a clear relationship between air quality levels and pathogens was observed. Our results showed that bacteria and fungi in PM 2.5 were less affected by emission control measures and different air quality levels. However, due to the limited number of samples, the relationship between air pollution levels and airborne bacteria and fungi still needs further study.

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Variation of correlations between factors and culturable airborne bacteria and fungi

Cited by 75 publications

References 34 publications

Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

Concentration and Size Distribution of Culturable Bacteria in Ambient Air during Spring and Winter in Gliwice: A Typical Urban Area

Variation of Bacterial and Fungal Community Structures in PM2.5 Collected during the 2014 APEC Summit Periods

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