Microbial composition in seasonal time series of free tropospheric air and precipitation reveals community separation

Els, Nora; Larose, Catherine; Baumann‐Stanzer, Kathrin; Tignat-Perrier, Romie; Keuschnig, Christoph; Vogel, Timothy M.; Sattler, Birgit

doi:10.1007/s10453-019-09606-x

Cited by 43 publications

(34 citation statements)

References 167 publications

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“…For example, Cyanobacteria were twice as common in snow than in air and have been suggested as being especially successful in establishing in the snow (Harding et al, 2011;Maccario et al, 2019). In the few available datasets comparing air and snow microbial communities (Šantl-Temkiv et al, 2018;Els et al, 2019;Triadó-Margarit et al, 2019), a comparable or higher diversity in snow samples was generally observed. However, our results indicate a higher richness and evenness of bacterial and fungal organisms in the air, even though the capturing efficiency of the DIGITEL DHA80 (PM10High Volume sampler) for the size of free floating bacteria (approx.…”

Section: Discussionmentioning

confidence: 99%

“…The snow cover has been considered as a proxy for atmospheric and environmental conditions as well as for bioaerosol microbial composition in previous investigations (Cáliz et al, 2018;Spear et al, 2018;Triadó-Margarit et al, 2019). However, we recently showed that this is not the case for air microbial composition (Els et al, 2019). One of the limitations of aerobiological studies aiming to compare with stationary environmental systems like snow cover is that the air composition changes constantly.…”

Section: Introductionmentioning

confidence: 98%

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Comparison of Bacterial and Fungal Composition and Their Chemical Interaction in Free Tropospheric Air and Snow Over an Entire Winter Season at Mount Sonnblick, Austria

et al. 2020

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We investigated the interactions of air and snow over one entire winter accumulation period as well as the importance of chemical markers in a pristine free-tropospheric environment to explain variation in a microbiological dataset. To overcome the limitations of short term bioaerosol sampling, we sampled the atmosphere continuously onto quartzfiber air filters using a DIGITEL high volume PM10 sampler. The bacterial and fungal communities, sequenced using Illumina MiSeq, as well as the chemical components of the atmosphere were compared to those of a late season snow profile. Results reveal strong dynamics in the composition of bacterial and fungal communities in air and snow. In fall the two compartments were similar, suggesting a strong interaction between them. The overlap diminished as the season progressed due to an evolution within the snowpack throughout winter and spring. Certain bacterial and fungal genera were only detected in air samples, which implies that a distinct air microbiome might exist. These organisms are likely not incorporated in clouds and thus not precipitated or scavenged in snow. Although snow appears to be seeded by the atmosphere, both air and snow showed differing bacterial and fungal communities and chemical composition. Season and alpha diversity were major drivers for microbial variability in snow and air, and only a few chemical markers were identified as important in explaining microbial diversity. Air microbial community variation was more related to chemical markers than snow microbial composition. For air microbial communities Cl − , TC/OC, SO 4 2− , Mg 2+ , and Fe/Al, all compounds related to dust or anthropogenic activities, were identified as related to bacterial variability while dust related Ca 2+ was significant in snow. The only common driver for snow and air was SO 4 2− , a tracer for anthropogenic sources. The occurrence of chemical compounds was coupled with boundary layer injections in the free troposphere (FT). Boundary layer injections also caused the observed variations in community composition and chemistry between the two compartments. Long-term monitoring is required for a more valid insight in post-depositional selection in snow.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Comparison of Bacterial and Fungal Composition and Their Chemical Interaction in Free Tropospheric Air and Snow Over an Entire Winter Season at Mount Sonnblick, Austria

et al. 2020

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“…Due to their important roles in public health and meteorological processes (Ariya et al, 2009;Aylor, 2003;Brown and Hovmøller, 2002;Delort et al, 2010;Griffin, 2007), understanding how airborne microbial communities are distributed over time and space is critical. While the concentration and taxonomic diversity of airborne microbial communities in the planetary boundary layer have recently been described (Els et al, 2019;Innocente et al, 2017;Tignat-Perrier et al, 2019), the functional potential of airborne microbial communities remains unknown. Most studies have focused on laboratory cultivation to identify possible metabolic functions of microbial strains of atmospheric origin, mainly from cloud water (Amato et al, 2007;Ariya et al, 2002;Hill et al, 2007;Vaïtilingom et al, 2010Vaïtilingom et al, , 2013.…”

Section: Introductionmentioning

confidence: 99%

Microbial functional signature in the atmospheric boundary layer

Tignat-Perrier¹,

Dommergue²,

Thollot³

et al. 2020

Preprint

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Abstract. Microorganisms are ubiquitous in the atmosphere and some airborne microbial cells were shown to be particularly resistant to atmospheric physical and chemical conditions (e.g., UV radiation, desiccation, presence of radicals). In addition to surviving, some cultivable microorganisms of airborne origin were shown to be able to grow on atmospheric chemicals in laboratory experiments. Metagenomic investigations have been used to identify specific signatures of microbial functional potential in different ecosystems. We conducted a preliminary comparative metagenomic study on the overall microbial functional potential and specific metabolic and stress-related microbial functions of atmospheric microorganisms in order to determine whether airborne microbial communities possess an atmosphere-specific functional potential signature as compared to other ecosystems (i.e. soil, sediment, snow, feces, surface seawater etc.). In absence of a specific atmospheric signature, the atmospheric samples collected at nine sites around the world were similar to their underlying ecosystems. In addition, atmospheric samples were characterized by a relatively high proportion of fungi. The higher proportion of sequences annotated as genes involved in stress-related functions (i.e. functions related to the response to desiccation, UV radiation, oxidative stress etc.) resulted in part from the high concentrations of fungi that might resist and survive atmospheric physical stress better than bacteria.

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“…This was comparable to various studies that showed seasonal changes in the microbial communities during different times of the year. In one study, there are significant differences in microbial composition during different seasons, with pronounced differences in summer and winter [24]. Furthermore, other reviews established that microbial activity was higher in the summer compared to winter [25].…”

Section: Discussionmentioning

confidence: 99%

“…Different factors play a role in the transmission and distribution of the microorganism in different seasons. These factors include, for example, the temperature and humidity conditions, rain, winds [24].…”

Section: Discussionmentioning

confidence: 99%

The frequency of the pathogenic bacteria isolated from different clinical samples in Duhok, Iraq

Ali¹,

Allù²,

Assafi³

2020

Proceedings of the Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart

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Pathogenic bacteria are still considered the most global problematic issue, and they have a significant impact on human health, particularly the Enterobacteriaceae bacteria. This study aimed to investigate the frequency of the pathogenic bacteria and the related risk factors among patients in Duhok, Iraq. A total of 700 samples (281 from males and 419 from females) from Duhok Teaching Hospital were recruited and analysed. All samples were routinely cultured and identified based on their cultural and biochemical characteristics. Furthermore, the diagnosis was confirmed by using the Vitek2 system. The results showed that the highest rate was for Staphylococcus aureus (31%), and the lowest rate was for Candida albicans (4.4%). The other infections varied in their rates and included 27.7% E. coli, 9.4% Klebsiella pneumonia, 6.1% Acinetobacter pneumonia, 6% Streptococcus spp., 5.4% Enterobacter spp., 5.1% Pseudomonas aeruginosa and 4.7% Proteus mirabilis. Furthermore, the bacteria were mostly recovered from urine (67.1%) and swab (19.6%) specimens. The infection rate was higher in females (58.3%) than males (41.7%). This study suggested that the incidence of pathogenic bacteria is high in Duhok, Iraq. However, it was comparable to the global bacterial pattern with the domination of S. aureus and E. coli.

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Microbial composition in seasonal time series of free tropospheric air and precipitation reveals community separation

Cited by 43 publications

References 167 publications

Comparison of Bacterial and Fungal Composition and Their Chemical Interaction in Free Tropospheric Air and Snow Over an Entire Winter Season at Mount Sonnblick, Austria

Comparison of Bacterial and Fungal Composition and Their Chemical Interaction in Free Tropospheric Air and Snow Over an Entire Winter Season at Mount Sonnblick, Austria

Microbial functional signature in the atmospheric boundary layer

The frequency of the pathogenic bacteria isolated from different clinical samples in Duhok, Iraq

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