Literature DB >> 24083487

Seasonal variability in bacterial and fungal diversity of the near-surface atmosphere.

Robert M Bowers1, Nicholas Clements, Joanne B Emerson, Christine Wiedinmyer, Michael P Hannigan, Noah Fierer.   

Abstract

Bacteria and fungi are ubiquitous throughout the Earth's lower atmosphere where they often represent an important component of atmospheric aerosols with the potential to impact human health and atmospheric dynamics. However, the diversity, composition, and spatiotemporal dynamics of these airborne microbes remain poorly understood. We performed a comprehensive analysis of airborne microbes across two aerosol size fractions at urban and rural sites in the Colorado Front Range over a 14-month period. Coarse (PM10-2.5) and fine (PM2.5) particulate matter samples were collected at weekly intervals with both bacterial and fungal diversity assessed via high-throughput sequencing. The diversity and composition of the airborne communities varied across the sites, between the two size fractions, and over time. Bacteria were the dominant type of bioaerosol in the collected air samples, while fungi and plants (pollen) made up the remainder, with the relative abundances of fungi peaking during the spring and summer months. As bacteria made up the majority of bioaerosol particles, we analyzed the bacterial communities in greater detail using a bacterial-specific 16S rRNA gene sequencing approach. Overall, bacterial taxonomic richness and the relative abundances of specific bacterial taxa exhibited significant patterns of seasonality. Likewise, airborne bacterial communities varied significantly between sites and across aerosol size fractions. Source-tracking analyses indicate that soils and leaves represented important sources of bacteria to the near-surface atmosphere across all locations with cow fecal bacteria also representing an important source of bioaerosols at the more rural sites during early fall and early spring. Together, these data suggest that a complex set of environmental factors, including changes in atmospheric conditions and shifts in the relative importance of available microbial sources, act to control the composition of microbial bioaerosols in rural and urban environments.

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Year:  2013        PMID: 24083487     DOI: 10.1021/es402970s

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  67 in total

1.  The ecology of microscopic life in household dust.

Authors:  Albert Barberán; Robert R Dunn; Brian J Reich; Krishna Pacifici; Eric B Laber; Holly L Menninger; James M Morton; Jessica B Henley; Jonathan W Leff; Shelly L Miller; Noah Fierer
Journal:  Proc Biol Sci       Date:  2015-09-07       Impact factor: 5.349

2.  Influence of housing characteristics on bacterial and fungal communities in homes of asthmatic children.

Authors:  K C Dannemiller; J F Gent; B P Leaderer; J Peccia
Journal:  Indoor Air       Date:  2015-04-17       Impact factor: 5.770

3.  Nontuberculous mycobacteria among patients with cystic fibrosis in the United States: screening practices and environmental risk.

Authors:  Jennifer Adjemian; Kenneth N Olivier; D Rebecca Prevots
Journal:  Am J Respir Crit Care Med       Date:  2014-09-01       Impact factor: 21.405

4.  Microbial Dynamics of Biosand Filters and Contributions of the Microbial Food Web to Effective Treatment of Wastewater-Impacted Water Sources.

Authors:  Tara M Webster; Noah Fierer
Journal:  Appl Environ Microbiol       Date:  2019-08-14       Impact factor: 4.792

5.  Bacterial community profile of contaminated soils in a typical antimony mining site.

Authors:  Ningning Wang; Suhuan Zhang; Mengchang He
Journal:  Environ Sci Pollut Res Int       Date:  2016-12-30       Impact factor: 4.223

6.  A long-term survey unveils strong seasonal patterns in the airborne microbiome coupled to general and regional atmospheric circulations.

Authors:  Joan Cáliz; Xavier Triadó-Margarit; Lluís Camarero; Emilio O Casamayor
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-12       Impact factor: 11.205

7.  Structural Variation in the Bacterial Community Associated with Airborne Particulate Matter in Beijing, China, during Hazy and Nonhazy Days.

Authors:  Dong Yan; Tao Zhang; Jing Su; Li-Li Zhao; Hao Wang; Xiao-Mei Fang; Yu-Qin Zhang; Hong-Yu Liu; Li-Yan Yu
Journal:  Appl Environ Microbiol       Date:  2018-04-16       Impact factor: 4.792

8.  The Indoor-Air Microbiota of Pig Farms Drives the Composition of the Pig Farmers' Nasal Microbiota in a Season-Dependent and Farm-Specific Manner.

Authors:  Julia G Kraemer; Susanne Aebi; Anne Oppliger; Markus Hilty
Journal:  Appl Environ Microbiol       Date:  2019-04-18       Impact factor: 4.792

9.  Urban Enhancement of PM10 Bioaerosol Tracers Relative to Background Locations in the Midwestern United States.

Authors:  Chathurika M Rathnayake; Nervana Metwali; Zach Baker; Thilina Jayarathne; Pamela A Kostle; Peter S Thorne; Patrick T O'Shaughnessy; Elizabeth A Stone
Journal:  J Geophys Res Atmos       Date:  2016-05-12       Impact factor: 4.261

10.  Analysis of airborne microbial communities using 16S ribosomal RNA: Potential bias due to air sampling stress.

Authors:  Huajun Zhen; Valdis Krumins; Donna E Fennell; Gediminas Mainelis
Journal:  Sci Total Environ       Date:  2017-11-01       Impact factor: 7.963

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