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Aerosolized microorganisms may play an important role in climate change, disease transmission, water and soil contaminants, and geographic migration of microbes. While it is known that bioaerosols are generated when bubbles break on the surface of water containing microbes, it is largely unclear how viable soil-based microbes are transferred to the atmosphere. Here we report a previously unknown mechanism by which rain disperses soil bacteria into the air. Bubbles, tens of micrometres in size, formed inside the raindrops disperse micro-droplets containing soil bacteria during raindrop impingement. A single raindrop can transfer 0.01% of bacteria on the soil surface and the bacteria can survive more than one hour after the aerosol generation process. This work further reveals that bacteria transfer by rain is highly dependent on the regional soil profile and climate conditions.
Bioaerosols play an important role in climate change, human health and agricultural productivity1,2,3,4,5. In the atmosphere, bioaerosols can influence on the global climate, promoting cloud formation and ice nucleation even though their fraction is relatively small compared to all the atmospheric aerosols6,7,8,9,10. On the ground, bioaerosols can change micro-biogeography faster than many other transport mechanisms11,12. Because bioaerosols can lead to dispersion of biological contaminants over long distances relative to terrestrial transport mechanisms13,14, they significantly affect changes in biodiversity and ecology as well as the propagation of biological pollutants10,15. Furthermore, bioaerosols can be effective carriers of pathogenic organisms to plants, animals and humans, resulting in the spread of disease4,16. To date, aerosols generated at water/air interfaces are considered one of the main mechanisms for transferring microbes to the environment17,18,19,20. While it has been generally accepted that soil can serve as an intermediate home for pathogens before they transfer to their hosts, it is not clear where and how the microbes in the soil transfer from their original habitats to the atmosphere21,22,23,24,25. Considering that most microbes prefer aqueous environments to survive, it is still a mystery to explain how viable soil-based microbes spread much further and faster than would be expected through the air1,26,27. Futhermore, even though we know that after a rainfall there is a rapid increase of bioaerosol concentration in the air, we have not explained the wide spread of microbes with the transfer modes discovered to date9,28,29.
In this work, aerosols represent small water droplets suspended in the air; in particular, bioaerosols are defined as aerosols containing microbes. Recently, we discovered a new mechanism of aerosol generation by raindrops hitting soil30 (Fig. 1a–d). We demonstrated that when a raindrop hits soils, small bubbles are formed inside the raindrop and then small droplets eject when the bubbles burst at the air/raindrop interface. Depending on soil wetting-properties and raindrop impact speed, the amount of aerosols varies. Interestingly, for particular wetting conditions and impact speeds, hundreds of aerosols are generated from a single raindrop within a few microseconds (Supplementary Movie 1). On soils with wetting properties similar to sandy-clay and clay soils, most aerosols are generated when raindrops fall at velocities corresponding to light and moderate rain30. Furthermore, we have shown that fluorescent dyes permeated in the soil can be dispersed by aerosols30. Based on our findings, under actual field conditions, it was demonstrated that organic materials can be transferred though aerosols generated by raindrops31. Our previous work explained the physics of aerosol generation (aerosolization) from soil; however, we still need to understand if and how bacteria in soil are transferred through the aerosolization process.
Here, we illuminate a previously unexplored mechanism that transfers bacteria from soil to air through aerosols. We first develop a visualization method for characterization of aerosols containing bacteria. Using the method, we quantitatively examine the effects of bacterial surface concentration, soil composition, raindrop impact speed, and surface temperature to identify trends in bacteria transfer from soil to air. We also verify that bacteria can indeed survive after the aerosolization process. Finally, we estimate the global transfer rate of soil bacteria by rainfall.
In this work we show that soil-borne bacteria can be transferred from soil to air via aerosols generated by rain. Aerosols are collected on the sampling plates positioned above the soil of interest (Fig. 1e). Fluorescent microscopy images are obtained by using soils pre-permeated with a red-fluorescence dye (Rhodamine B) and green-fluorescence (SYTO BC) bacteria (Fig. 1f). The soils were fully dried under common laboratory environment after pre-treatment with red fluorescent dye. In this work, we used three species of soil bacteria: Corynebacterium glutamicum (C. glutamicum ATCC 13032), Bacillus subtilis (B. subtilis JMA222) and Pseudomonas syringae (P. syringae ATCC 55389), and six kinds of soil: two different types of clay, sandy-clay and sand (Table 1). In addition, two different thin layer chromatography plates (TLC) were used as reference porous surfaces (ideal soil-like surfaces). The aerosols and bacteria appear as red circles (aerosols) and yellow dots (bacteria; Fig. 1g,h). Depending on the species and strains of bacteria, it is known that bacteria show different aerosolization properties32. In this work, we used three representative bacteria that are each abundant in soil and show long-term viability on both soils and TLC plates. These strains allow us to evaluate the effect of aerosolization on cell viability without considerable numbers of dead cells on the surfaces. In Fig. 1g, the aerosol sizes range from a few microns to hundreds of microns; but with the higher magnification microscope-lens, we can observe submicron droplets on the plates. The number of bacteria varies from zero to several thousand in a single aerosol, mainly depending on the soil types, the bacterial surface density, the surface temperature and the raindrop impact speed (Fig. 1h).
All the bacteria used in this work can be transferred from soil to air by aerosols while remaining viable. The bioaerosols are collected on the sampling plates and the plates are kept in a standard laboratory environment for a specific amount of time. Subsequently the aerosols on the plates are transferred to agar plates to measure the number of aerosols containing live bacteria. Depending upon the bacterial species and the soil, different numbers of colonies on the agar plates are observed (Fig. 2a,b). The most bioaerosols are generated on the sandy-clay soils but no bioaerosol is observed from the sand soils. This result can be explained by our previous work showing that sandy-clay soils have the optimal wetting properties for aerosolization, but sand soils absorb raindrops too fast to generate aerosols30. The bacteria transferred to the aerosols exhibit different viability depending on their residence time in the air (P<0.05), but there is no significant difference in the soil types tested and in the bacterial species (P>0.05). As a result, the three different soil bacteria remained alive even 1h after aerosolization. This result suggests two important conclusions; (1) bacteria can survive aerosolization by drop impingement, and (2) bacteria can be convectively transferred to distant locations while remaining viable. The viability test used in this work may not be applicable for other soil bacteria that may lose their culturability when subjected to environmental stresses or an inadequate cultivation environment. Indeed, it is well known that a small percentage of airborne bacteria can be cultured33,34. In fact most estimates suggest that the majority of bacteria on the planet have evaded laboratory cultivation35,36,37,38. In this work, we intentionally seeded culturable bacteria into the soil before aerosolization to check if the soil bacteria can survive the aerosolization process. We did not use bacteria directly recovered from environmental samples transferred by aerosols. If the aerosolization results in some bacteria remaining viable but unculturable, the number of bacteria transferred through aerosolization would be underestimated. However, this underestimation does not undermine the main result of our viability test. To minimize the limitations of viability testing, we used direct visualization of aerosols containing bacteria to count the number of bacteria transferred by aerosols; therefore, the aerosolization efficiency reported is not distorted by bacteria culturability.
The number of bubbles formed inside a raindrop is the key factor influencing bacterial transfer (Fig. 3a and Supplementary Movie 2). With increasing bubbles formed inside a raindrop, more bacteria can be transferred by bubble bursting. The proposed mechanism is most relevant when the soil is not fully wet. After a couple of raindrops impact the same location, the soil is fully wet and a thin water film forms on the surface. In this case, we speculate that another possible mechanism of bacteria transfer by splashing is more relevant. Thoroddsen et al. have shown that the ejected sheet brings liquid from the bottom of the film, and when it breaks up into fine spray it could act just like the proposed bubble mechanism39. If we consider this mechanism, it is possible that even more bacteria can be dispersed by raindrop impact. However, in the present work, we solely deal with the dispersion of bacteria by aerosolization39. We investigated the effect of bubble bursting on the dispersion of particles for two different initial conditions (Fig. 3b); first, with different particle concentrations in raindrops and clean surfaces (Case 1), and second, with different particle densities on the surfaces and pure raindrops (Case 2). Interestingly, for the wide range of surface particle density and raindrop particle concentration, the number of dispersed particles shows opposite tendencies for the two cases with respect to surface temperature (Fig. 3c). At the surface temperature of 30°C, the least particles are dispersed for Case 1 (P<0.05); however, the most particles are dispersed at 30°C for Case 2 (P<0.05). Further, the trends of both cases are opposite one another.
To further illuminate this result, we estimated the number of bubbles formed inside a droplet as a function of surface temperature. We can estimate the number of bubbles formed inside a raindrop from the aerosol size distribution (Fig. 4a). Here, when the bubbles are smaller than 1mm, the number of aerosols exponentially decreases with decreasing bubble radius40,41,42,43; therefore, the number of aerosols can be expressed as Naerosols=Aexp(−3−1 dbubble), where Naerosols is the number of aerosols, A is a constant value (A~7.5) and dbubble is the bubble diameter40,41. The bubble diameter is ten times greater than the mean diameter of the aerosols44,45; thus, the number of aerosols can be expressed as Naerosols=Noexp(−30−1 daerosol), where No is a constant and daerosol is the aerosol diameter. Under the assumption that the bubbles have comparable diameters, the total number of bubbles (Nbubbles) formed inside a raindrop can be estimated as Nbubbles=NoA−1; therefore, we can estimate the number of bubbles formed inside the raindrop from the aerosol size distribution.
The number of bubbles was estimated by the curve fitting method. As we expected, the number of aerosols decreases exponentially with respect to aerosol droplet size (Fig. 4a). Different constants of the exponential functions, No, are obtained for different surface temperatures. From the power law functions; we can obtain the estimated number of bubbles, Nbubble=NoA−1. The maximum number of bubbles is obtained at the surface temperature of 30–40°C for two reference surfaces (TLC-A and TLC-C in Table 1), respectively. When we compared the number of bubbles obtained from the curve fitting method and by counting with the digital high-speed images, we find reasonable agreement (Fig. 4b). The results obtained with two different TLC plates show that the maximum number of bubbles is formed at the surface temperature of around 30°C. When we calculated the total volume of aerosols, the least volumes were obtained at the surface temperature of 30°C. As a result, the total volume of aerosols governs the number of dispersed particles when the particles are dissolved in the raindrop (Case 1), but the number of bubbles mainly governs the number of dispersed particles when the particles are placed on the surface (Case 2; Fig. 4c).
We employ aerosolization efficiency46 () to characterize how many particles or bacteria can be transferred by a single raindrop from soil to air. Figure 5a shows the key parameters related to aerosolization efficiency. Aerosolization efficiency is the ratio of the number of particles on the surface (Nparticles.surface) to the number of particles dispersed from the surface (Nparticles.aerosols) on the surface area same as the cross-sectional area of the raindrop. To obtain aerosolization efficiency, fluorescent microspheres, with average diameter of 1μm, were placed on the surfaces with particle densities ranging from 10–104 particles per mm2 (Fig. 5b). After drop impingement on the surfaces, we quantified the number of microspheres in the aerosols collected on the sampling plate (Fig. 5c). To verify the mechanism of particle dispersion, we first characterized the size distribution of aerosols generated from the reference surfaces (TLC-A and TLC-B) and the soils (clay-A and sandy clay-A). The size of aerosol ranges from a few microns to a few hundred microns and the number of aerosols decreases exponentially with increasing aerosol size regardless of the surfaces used (Fig. 5d). On the clay and sandy clay soils, we observed more than one hundred aerosols smaller than 10μm from a single drop impingement. This result indicates that micro bubbles are formed inside the drops that impact the soils and the particles are dispersed when bubbles burst at the surface of droplets.
We observe a linear relationship between the surface particle density (Ssurface), which is the number of particles (Nparticles.surface) per unit area and the total number of particles (Nparticles.aerosols) dispersed by aerosols generated by a single raindrop (Fig. 5e). To evaluate the aerosolization efficiency of particle transfer, we introduce the dispersed particle density (Saerosols), which can be expressed as Saerosols=Nparticles.aerosols × Araindrop−1, where Araindrop is the cross-sectional area of the raindrop. Since Saerosols also has a linear relationship with Ssurface, we can express their relationship as Saerosols= × Ssurface, where is a constant denoted the aerosolization efficiency. The number of particles delivered by a single bubble bursting (Nparticles.bubble) can be estimated as Nparticles.bubble=Saerosols × Araindrop × Nbubbles−1= × Ssurface × Sbubble−1, where Sbubble is the surface bubble density defined as the number of bubbles formed in the raindrop after impingement divided by the cross-sectional area of the raindrop, Nbubbles × Araindrop−1. Ultimately, the total number of particles transferred is governed by the surface particle density (Ssurface), the surface bubble density (Sbubble) and the aerosolization efficiency (). These three parameters are necessary to understand how many particles are dispersed by a raindrop impacting a porous surface.
Soil surface temperature plays an important role in bacterial dispersion by raindrops. We find a certain surface temperature at which the maximum particle (bacteria or abiotic particle) is transferred by aerosols from the surface (Fig. 6a). The maximum number of dispersed particles occurs at a particular temperature (in the range from 20 to 40°C) depending on the soil type. The difference between the maximum and the minimum number of particles can be a factor of 10, indicating that surface temperature has an important role in particle dispersion from soil to air. Here, we define the surface temperature where the maximum particle dispersion occurs as the critical surface temperature Tc. Our experiments show that the critical temperature is not significantly affected by the size or type of particle, within a 10°C range. For example, we obtained the same critical temperature for bacteria and microspheres. The effect of surface temperature is related to the number of bubbles formed inside the raindrop. At the critical surface temperature, the most bubbles were observed, resulting in the maximum dispersion of bacteria as shown in Fig. 4c (Case 2).
Rainfall intensity is another important factor governing the bacterial dispersion by raindrops. We find that each soil has a critical impact velocity, Vc, where the largest number of bacteria can be transferred by drop impingement. In experiments with microspheres, with increasing impact velocity up to roughly 1.4–1.7ms−1, the most microspheres are transferred via aerosolization. However, the number of microspheres transferred decreases when the impact velocity is higher than the critical impact velocity (Fig. 6b). It is known that impact velocity changes the maximum radius and the minimum height of the expanding raindrop hitting soil30. At impact velocities less than the critical velocity, the area of soil covered by a raindrop increases with velocity, resulting in a larger surface area to form more bubbles, which causes more particles or bacteria to be transferred. However, at impact velocities higher than the critical velocity, the bubble formation is limited by the raindrop height after impact; therefore, the number of dispersed bacteria decreases due to the decreasing bubble size and number, even though the wetted surface area is increasing. As the critical surface temperature, the critical velocity is largely independent of the type of particle on the surface, yielding similar values for different size microspheres and bacteria (Table 1).
To estimate the transfer rate of soil bacteria by aerosols, it is necessary to know the regional soil profile and climate conditions. Dispersed particle density is normalized by aerosolization efficiency, , obtained from the slope of the maximum dispersed particle density versus the surface particle density, as shown in Fig. 7a. The dimensionless concentration (C*) is obtained from the ratio of the dispersed particle density, Saerosols, to the surface particle density, Ssurface. The normalized particle concentration (=C* × −1) helps illustrate the influence of surface temperature and impact velocity on the particle transfer from soil to air. When the normalized particle density is plotted with respect to the normalized impact velocity (V*=V × ) and normalized surface temperature (T*=T × ), we observe two peaks of maximum at V* and T* and the general trends of bacteria dispersion regarding surface and impact conditions (Fig. 7b,c). Figure 7b,c were obtained using the three kinds of soil bacteria and the two different sizes of microspheres on the six types of soils and the two different TLC plates in Table 1. As a result, we can estimate the number of bacteria that can be transferred by aerosol as a function of soil type, bacterial surface density, rainfall velocity and soil surface temperature.
The number of aerosols containing bacteria varies with soil type. Sandy clay soils showed the most bioaerosols while sandy soils do not appear to produce bioaerosols. This result is consistent with our previous work showing that more aerosols can be generated on surfaces with wetting properties similar to sandy clay soils. Sandy clay soils have ideal properties for aerosol generation and show the highest aerosol generation relative to the other soils tested, as shown in Fig. 6. Sandy soils have fast water absorption speeds such that aerosols are not generated by raindrop impact because bubbles do not form. The aerosolization efficiency of soil bacteria allows us to estimate the number of bacteria transferred by rainfall. However, it is challenging to know the precise degree of bacteria transfer because there are diverse varieties of soil types, precipitation characteristics and environmental conditions on the planet; therefore, here we show the order of magnitude of the maximum and minimum transfer amount of bacteria based on the reported data related to bacteria surface density, soil surface area, precipitation frequency and aerosolization efficiency. Considering the aerosolization efficiency, mean bacteria surface density9, global land area47 and precipitation patterns48, we estimate that the total number of bacteria dispersed by raindrops can range from 1.2 × 1022–8.5 × 1023 cells per year (see the Supplementary Note 1). Others have estimated that the total number of bacteria emitted from land ranges from 1.5 × 1023–3.5 × 1024 cells per year49. As a result, global precipitation can transfer 1.6–25% of the total amount of bacteria emitted from land. Even though, in this calculation, we did not consider other kinds of microbes such as viruses, spores and eukaryotic microorganisms as well as chemicals and solid particles, we find that a considerable population of bacteria could be dispersed by raindrops. However, this estimate should be considered an upper bound because successive raindrops can wash the aerosols out of the air. As discussed in our previous work30, however, aerosols can be convectively migrated by wind, and thus it is expected that a reasonable fraction of bioaerosols can be dispersed into the atmosphere and evade washout by successive raindrops. Others have shown that aerosol concentration in the atmosphere rapidly increases after rainfall, suggesting that washout does not remove all aerosols9,28,29.
In conclusion, this work has importance in three aspects; first, we have observed a new mechanism of bioaerosol generation caused by rain. Once bacteria are dispersed through aerosols, they can be transported by wind to other places much faster than other modes of transfer such as diffusion through soil. Second, we have identified experimental methods to collect and visualize aerosols including bacteria dispersed from soil. Using this method, we defined a new surface property denoted aerosolization efficiency, which describes how many bacteria can be transferred under given conditions. Third, we found that the mechanism of bacteria transfer by raindrops with bubble formation affected by surface temperature and impact speed. With understanding this mechanism, one can begin to develop methods of preventing or promoting bacterial transfer. As a result, we can predict the locations and environmental conditions that promote the transfer of bacteria from soil to air. These findings reveal a novel mechanism of bacteria transfer from soil to the environment. This mechanism can be relevant for the investigation of climate change, pathogenic disease transmission and geographic migration of bacteria.
C. glutamicum (ATCC 13032) transformed to encode kanamycin resistance was cultured in brain heart infusion medium (BD, Sparks, MD, USA) with 0.5M sucrose (Sigma-Aldrich, St Louis, MO, USA; BHIS medium) containing 50μgml−1 of kanamycin at 37°C. B. subtilis JMA222 was cultured in Lysogeny broth (LB) medium at 37°C. P. syringae ESC 10 (ATCC 55389) was cultured at nutrient broth at 30°C. All cells were cultured stationary phase. Optical density at 600nm (OD600) of the cells was measured with ultraviolet–vis spectrophotometer (UV-1800 spectrophotometer, Shimadzu Scientific Inc., Kyoto, Japan) and then diluted in BHIS medium (for C. glutamicum), LB medium (for B. subtilis) or nutrient broth medium (for P. syringae) to OD600 equal to one. C. glutamicum was transformed with the plasmid pEC-K18mob2 using the method described by M.E. van der Rest et al.50 to express kanamycin resistance as the selection marker. The transformed cells were recovered in LBHIS agar plates (per liter of LBHIS agar consists of 12.5g LB broth, 18.5 brain heart infusion powder, 15g agar and 91g sorbitol) containing 50μgml−1 of kanamycin. B. subtilis and P. syringae were not transformed. However, when using B. subtilis and P. syringae, negative controls were conducted to confirm that experiments were not contaminated from the environment.
Three different sized microspheres were purchased from Sigma-Aldrich (carboxylate-modified polystyrene, fluorescent yellow-green, 0.1 and 1μm, and micro particles based on polystyrene, dark red, 10μm). The microsphere suspensions were used without further purifications to make the desired concentration with 1% PBS solutions. The microsphere concentrations were estimated in terms of the number of particles per unit volume from the particle concentration information provided by the supplier.
Before treatment of soils with microspheres or bacteria, the soils were sterilized and dried for a day. To prepare soils pre-permeated with microspheres or bacteria, the microsphere or bacterial suspensions were placed on the soil surface with a specific volume density (0.05mlcm−2). To prepare TLC plates permeated with microspheres or bacteria, the TLC plates were soaked in the relevant suspension for 30s and then dried for 25min in a common laboratory environment. The surface particle or cell density was measured with digital microscopy. Using image characterization software (ImageJ (refs 51, 52)), the number of microspheres or bacteria were counted and then the surface particle or cell density was calculated by the observed surface area. Six different soils were used; clay, sandy clay and sand were purchased from Sigma-Aldrich (Clean clay #5, PH–Sandy clay, and Clean sand #4,), another clay and sand from World's Science (Nasco soil samples, Fort Atkinson, WI, USA), and the other sandy clay soil was collected at Boston area. Two TLC plates were purchased from Sigma-Aldrich (silica gel and aluminium oxide matrixes).
To visualize cell-containing aerosol on the sampling plates, we pre-treat soils with fluorescently labelled bacterial suspension. Two fluorescent dyes were used to indicate the cells and the aerosols. SYTO BC (Life Technologies, Carlsbad, CA, USA) was used to stain bacteria with green fluorescence (excitation peak at 485nm and emission peak at 500nm). Final concentration of 5μM of SYTO BC was added to the cell suspension. Rhodamine B (Sigma-Aldrich) was added to the cell suspension to visualize the aerosols with red fluorescence (excitation peak at 540nm and emission peak at 625nm). The final concentration of Rhodamine B was 0.001gl−1. Raindrops, which come from deionized water, hit porous media, generating aerosols. The aerosols were collected on the sampling plate. The aerosols and the bacteria were detected by different filters in the fluorescence microscope, because Rhodamine B was dissolved into the aerosols. In this work, we did not consider evaporation when calculating aerosol size because the time scale from aerosol generation to aerosol impact and measurement on the sampling plate is much smaller than the time scale of evaporation. The mean velocity of aerosol ejections is 10ms−1 and the gap distance from the surface to the sampling plate was 10mm, so the impact time scale is roughly 1 microsecond. Considering the flight velocity and the mean aerosol size under the common environment condition of 20°C and 25% RH, the diameter change for an aerosol with initial diameter of 100μm is <0.04%, so the effect of evaporation on measured size is not significant53.
Drop impingements with deionized water were conducted on the prepared soils and TLC plates pre-permeated with cells or microspheres. The impact velocity of raindrops was varied with different dropping heights from the surfaces. The raindrops hit on the surfaces after passing through the hole at the centre of the sampling plate located above the surface. The height of the sampling plate was varied from 2 to 15mm to find the optimal height of the sampling plate for the maximum collection efficiency. In this work, we used 10mm of the sampling height. The surface temperature of soils and TLC plates was varied from 5 to 50°C with a house-made temperature controller. The impact speed varies from 0.6 to 1.7ms−1. The impact speed was estimated using the drop release height and calibrated with high-speed imaging. We used a high-speed camera (Photron, San Diego, CA, USA) to record the process of drop impingement, bubble formation and bubble bursting inside the droplets. The diameter and number of bubbles were measured by an image analysis programme (ImageJ (refs 51, 52)) applied to the high-speed movies.
For cell viability on the surfaces, porous substrates, including TLC plates and soil samples, were pre-permeated with cell suspension. The cell pre-permeated porous samples were dried for 25min. Then, the porous samples stamped the kanamycin-containing LBHIS agar plates to recover C. glutamicum, LB agar plates to recover B. subtilis or nutrient agar plates to recover P. syringae. We found that the C. glutamicum can survive on the soils and TLC plates after drying. To test cell viability after aerosolization, the soils and TLC plates were permeated with bacterial suspensions and kept in a common laboratory environment for 25min before aerosolization experiments. We diluted the cells directly starting with nutrient media. After the surfaces were permeated with the cell suspension we evaluated the aerosolization process after different amounts of drying time. We find that the original wetting properties of the surfaces were fully recovered within 10min after permeation. To be careful, we dried the surfaces for 25min to prevent changes in wetting properties of the soils and TLC plates during the aerosolization experiments. The sampling plates with aerosols generated from soils and TLC plates pre-permeated with bacteria were maintained in the common environment condition during different times from 0 to 90min and then the sampling plates were stamped on the corresponding agar plates. The agar plates were incubated in a shaking incubator at 37°C for C. glutamicum and B. subtilis and 30°C for P. syringae for 2 days and colony-forming units were counted. The viability data were obtained with three different species of bacteria and five types of soil at 15min increments for 60min. The regression analysis was performed to identify correlation between drying time and the viability with a 95% confidence level (when P<0.05). The Student's t-test was used to identify significant differences between soil types and bacteria species with a 95% confidence level (when P<0.05).
The authors confirm that all relevant data to this study are available in the article and the Supplementary Information or from the corresponding author upon request.
How to cite this article: Joung, Y. S. et al. Bioaerosol generation by raindrops on soil. Nat. Commun. 8, 14668 doi: 10.1038/ncomms14668 (2017).
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Supplementary Notes and Supplementary References
Related to Fig. 1a-d. Aerosols generated by drop impingement on a reference surface, which maximized the aerosol generation.
Related to Fig. 3a. Bubble formation at the interface of surface and raindrop. The scale bar represents 1 mm.
We are grateful to Dr Jim Bales and Ms Sandra J. Lipnoski of MIT Edgerton Center for allowing us to use their high-speed camera. We thank Qianru Wang for the microscopy images (Fig. 3b) of bacteria.
The authors declare no competing financial interests.
Author contributions Y.S.J., Z.G. and C.R.B. designed the research; Y.S.J. and Z.G. performed the research; Y.S.J., Z.G. and C.R.B. analysed the data. Y.S.J., Z.G., and C.R.B. wrote the manuscript.