Variations of bacteria and fungi in PM2.5 in Beijing, China

Du, Pengrui; Du, Rui; Ren, Weishan; Lù, Zhongwen; Zhang, Yang; Fu, Pingqing

doi:10.1016/j.atmosenv.2017.10.048

Cited by 95 publications

(49 citation statements)

References 62 publications

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“…Both, the urban and peri-urban locations show very similar values and trends of richness along seasons for the three communities. Bacteria show a marked rise in the number of OTUs in Summer in agreement with former studies (Be et al, 2015;Bertolini et al, 2013;Bowers et al, 2012Bowers et al, , 2011aBowers et al, , 2011b and likely due to the increase in temperature (Genitsaris et al, 2017), while some other studies reported higher bacterial diversity in different seasons, suggesting a large influence of the meteorological characteristics of the region (Du et al, 2018;Lee et al, 2017). Richness in fungi peaks in Spring and Fall.…”

Section: Richness and Diversity Estimates For Two Urban Locations Acrsupporting

confidence: 90%

“…1). The relationship between particulate matter and microbial communities have been previously studied by different methods, from culture-dependent (Lee et al, 1973) to NGS (Bowers et al, 2012;Du et al, 2018;Franzetti et al, 2011;Gandolfi et al, 2015;Lee et al, 2017), finding also significant correlations. In fact, because of their size, these microorganisms could be attached to larger inorganic particles and be transported jointly (Ambika Manirajan et al, 2016;Oteros et al, 2019).…”

Section: Environmental Factors Correlated With Airborne Biodiversitymentioning

confidence: 99%

“…Recent reports applying this technology to samples collected in urban spaces have revealed a huge variety of biological entities in the air (Be et al, 2015;Bertolini et al, 2013;Cao et al, 2014;Gandolfi et al, 2015;Woo et al, 2013;Yooseph et al, 2013). Most works addressing this matter are mainly focused on one particular group of these biological entities and usually for a short period of time, although a few studies have addressed the joint analysis of bacterial and fungal communities in aerosol samples (Barberán et al, 2015;Bowers et al, 2012;Du et al, 2018;Fierer et al, 2008;Woo et al, 2013), and one study analyzed the relative abundance of airborne bacteria, plants, fungi, invertebrates and viruses (Be et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Temporal patterns of variability for prokaryotic and eukaryotic diversity in the urban air of Madrid (Spain)

Núñez

Paz

Rastrojo

et al. 2019

Atmospheric Environment

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Although many microorganisms are ubiquitously present in the air, airborne microbial communities have been much less characterized than those in soil or aquatic environments. Besides its ecological importance, detection and monitoring of the wide diversity of these aerosolized microorganisms (bacteria, viruses, fungi and pollen) is relevant for understanding allergy and disease outbreaks, especially in highly populated cities. In this study, we describe the simultaneous biodiversity of bacteria, fungi and plants present in the urban atmosphere of Madrid (Spain) along different seasonal periods, using DNA sequencing. Sampling in two different locations (downtown and peri-urban) we found that changes in the composition of each community are mainly driven by environmental factors, rather than by the features of the specific sampling microenvironments. While pollen particles are dominated by a few taxa characteristic of each season, bacteria and fungi show a high diversity but stable core communities along the year. The prokaryotic core is governed by soil and leaf surface bacteria, with predominance of Actinobacteria (Frankiales and Micrococcales) and Alphaproteobacteria (Sphingomonadales, Rhodobacterales, Rhizobiales and Acetobacterales). Fungal diversity is characterized by the steady presence of members of Capnodiales and Pleosporales. Pathogenic bacterial and fungal taxa were also detected across the year. We also correlated the airborne biodiversity with environmental variables. Air temperature has a strong influence on the community composition of bacteria, while pollen and fungi seasonal variations are mainly correlated with precipitation. Our results contribute to the characterization of airborne prokaryotic and eukaryotic communities in urban areas and show the suitability of this method for biosurveillance strategies.

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Section: Richness and Diversity Estimates For Two Urban Locations Acrsupporting

confidence: 90%

Section: Environmental Factors Correlated With Airborne Biodiversitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Temporal patterns of variability for prokaryotic and eukaryotic diversity in the urban air of Madrid (Spain)

Núñez

Paz

Rastrojo

et al. 2019

Atmospheric Environment

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“…The PCA only indicates the relative influence of each identified source to each fungal species. Several studies have been used this receptor model for the source segregation of the fungal spores [23,24]. In this study, the factors information from PCA, along with the correlation of total fungal spore with meteorological variables, was taken for the source apportionment.…”

Section: Discussionmentioning

confidence: 99%

Fungal bio-aerosol in multiple micro-environments from eastern India: source, distribution, and health hazards

et al. 2020

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Health hazards associated with bio-aerosol is gaining immense importance in recent time. However, studies linking the probable source characterization of bio-aerosol, and their potential effect as respiratory ailments on the local people are extremely rare over the Indian subcontinent as well as in global perspective. To fill our knowledge gap, we have conducted a 3-year study on fungal bio-aerosol characterization, possible source segregation, identification of health hazardous fungal species and their role in causing allergy from seven different micro-environments over a semi-rural site of lower Indo-Gangetic Plain, West Bengal, India. The result showed the highest fungal spore concentration as well as spore diversity in the crop field (4477 ± 1343 spores m −3) and the lowest in the classroom (1994 ± 651 spores m −3). Ascospore, basidiospore, Cladosporium, and Aspergilli group were the primary indoor spores. The marker species for the crop field were Curvularia and Drechslera, whereas Ganoderma was for the factory environment. Source profile of the fungal spore of different micro-environments indicates the domination of outdoor species, whereas enclosed microenvironments have been dominated with spores of indoor origin. Aspergillus, Curvularia, Penicillium, and Rhizopus oryzae showed maximum correlation with the local allergic rhinitis and asthmatic patients. In skin prick test, Aspergillus sp., contributing a maximum percentage of the total culturable fungi, was found to be an expected potent allergic candidate in both non-asthmatic and asthmatic patients, as well. This study will directly help the inhabitants to avoid the hazardous fungal sensitization in different micro-environments.

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“…However, the identities and distributions of fungal aerobiota are not well understood. Previous time series studies of fungal aerobiota have relied on culture-based sampling methods over the course of a few years (8, 9) or culture-independent (molecular-based) sampling over the course of a week or 2 (10, 11), 6 mo to 1 y (4, 12–14), or 7 y (15). These studies have yielded conflicting results.…”

mentioning

confidence: 99%

Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory

Tipton

Zahn

Datlof

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

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Fungi are ubiquitous and often abundant components of virtually all ecosystems on Earth, serving a diversity of functions. While there is clear evidence that fungal-mediated processes can influence environmental conditions, and in turn select for specific fungi, it is less clear how fungi respond to environmental fluxes over relatively long time frames. Here we set out to examine changes in airborne fungi collected over the course of 13 y, which is the longest sampling time to date. Air filter samples were collected from the Mauna Loa Observatory (MLO) on Hawaii Island, and analyzed using Illumina amplicon sequencing. As a study site, MLO is unique because of its geographic isolation and high elevation, making it an ideal place to capture global trends in climate and aerobiota. We found that the fungal aerobiota sampled at MLO had high species turnover, but compositional similarity did not decrease as a function of time between samples. We attribute these patterns to neutral processes such as idiosyncratic dispersal timing and trajectories. Furthermore, the composition of fungi at any given point was not significantly influenced by any local or global environmental variables we examined. This, and our additional finding of a core set of persistent fungi during our entire sampling period, indicates some degree of stability among fungi in the face of natural environmental fluctuations and human-associated global change. We conclude that the movement of fungi through the atmosphere is a relatively stochastic process.

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Variations of bacteria and fungi in PM2.5 in Beijing, China

Cited by 95 publications

References 62 publications

Temporal patterns of variability for prokaryotic and eukaryotic diversity in the urban air of Madrid (Spain)

Temporal patterns of variability for prokaryotic and eukaryotic diversity in the urban air of Madrid (Spain)

Fungal bio-aerosol in multiple micro-environments from eastern India: source, distribution, and health hazards

Fungal aerobiota are not affected by time nor environment over a 13-y time series at the Mauna Loa Observatory

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