Effect of Aerosolization and Drying on the Viability of Pseudomonas syringae Cells

Alsved, Malin; Holm, Stine; Christiansen, Sofus; Smidt, Mads; Rosati, Bernadette; Ling, Meilee; Boesen, Thomas; Finster, Kai; Bilde, Merete; Löndahl, Jakob; Šantl-Temkiv, Tina

doi:10.3389/fmicb.2018.03086

Cited by 41 publications

(35 citation statements)

References 46 publications

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“…Another explanation might be due to the metagenomic approach that allows to sample both living and dead cells. Aerosolization has been shown to be particularly stressful and even lethal for microorganisms (Alsved et al, 2018;Thomas et al, 2011). The functional potential from the dead cells in air might have a greater weight on the overall functional potential observed and lead to the dilution of the functional potential of the actual living cells that have adapted to atmospheric conditions.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

Microbial functional signature in the atmospheric boundary layer

Tignat-Perrier¹,

Dommergue²,

Thollot³

et al. 2020

Preprint

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“…Atmospheric processes of aerosolization, the properties of surrounding landscapes, the lifting of air beyond the boundary-layer to enable long-range transport of microbes from their source regions, the survival of microorganisms in changing temperature regimes of clouds or the ability to survive temperature extremes, as well as desiccation or nutrient limitation, are all factors impacting the composition and dispersion of aerosolized microbes (Möhler et al, 2007;Burrows et al, 2009;Bowers et al, 2011;Xia et al, 2013;Bianco et al, 2016;Carotenuto et al, 2017;Alsved et al, 2018;Evans et al, 2019;Tignat-Perrier et al, 2019). Bertolini et al (2013) suggested meteorological factors together with the chemical composition of the airborne particulate matter as well as the air mass sources as driving factors for airborne microbial variability at ground level.…”

Section: Introductionmentioning

confidence: 99%

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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“…A range of processes, such as aerosolisation (Alsved et al 2018), vapor to liquid phase change, particle coalescence, in-cloud circulation, temperature regime, cloud lifetime, cloud trajectories, nucleation properties and local air composition at the site of precipitation, effect on the microbial composition of precipitation (Möhler et al 2007).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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Primary biological aerosols are transported over large distances, are traveling in various media such as dry air masses, clouds or fog, and eventually deposited with dry deposition, especially for larger particles, or precipitation like rain, hail or snow. To investigate relative abundance and diversity of airborne bacterial and fungal communities, samples have been collected with a liquid impinger (Coriolis l) from the top of Mount Sonnblick (3106 m asl, Austrian Alps) from the respective sources under a temporal aspect over four seasons over the year to include all climatic conditions. Bacterial and fungal

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Effect of Aerosolization and Drying on the Viability of Pseudomonas syringae Cells

Cited by 41 publications

References 46 publications

Microbial functional signature in the atmospheric boundary layer

Microbial functional signature in the atmospheric boundary layer

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

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