Next Article in Journal
Impacts of Green Vegetation Fraction Derivation Methods on Regional Climate Simulations
Next Article in Special Issue
Dust-Associated Airborne Microbes Affect Primary and Bacterial Production Rates, and Eukaryotes Diversity, in the Northern Red Sea: A Mesocosm Approach
Previous Article in Journal
Web Application for Atmospheric Aerosol Data Management: Software and Case Study in the Spanish Network on Environmental Differential Mobility Analysers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea

1
Israel Oceanographic and Limnological Research, National Institute of Oceanography, Haifa 8030, Israel
2
Institute of Marine Science, University of California, Santa Cruz, CA 95064, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(5), 280; https://doi.org/10.3390/atmos10050280
Submission received: 1 May 2019 / Revised: 16 May 2019 / Accepted: 18 May 2019 / Published: 20 May 2019
(This article belongs to the Special Issue Detection and Monitoring of Bioaerosols)

Abstract

:
Airborne prokaryotes are transported along with dust/aerosols, yet very little attention is given to their temporal variability above the oceans and the factors that govern their abundance. We analyzed the abundance of autotrophic (cyanobacteria) and heterotopic airborne microbes in 34 sampling events between 2015–2018 at a coastal site in the SE Mediterranean Sea. We show that airborne autotrophic (0.2–7.6 cells × 103 m−3) and heterotrophic (0.2–30.6 cells × 103 m−3) abundances were affected by the origin and air mass trajectory, and the concentration of dust/aerosols in the air, while seasonality was not coherent. The averaged ratio between heterotrophic and autotrophic prokaryotes in marine-dominated trajectories was ~1.7 ± 0.6, significantly lower than for terrestrial routes (6.8 ± 6.1). Airborne prokaryotic abundances were linearly and positively correlated to the concentrations of total aerosol, while negatively correlated with the aerosol’s anthropogenic fraction (using Pb/Al or Cu/Al ratios as proxies). While aerosols may play a major role in dispersing terrestrial and marine airborne microbes in the SE Mediterranean Sea, the mechanisms involved in the dispersal and diversity of airborne microorganisms remain to be studied and should include standardization in collection and analysis protocols.

1. Introduction

The atmosphere is a major transport vector for aerosols, including mineral dust and anthropogenic constituents, which supply nutrients to the surface ocean (e.g., N, P, Fe), thus fueling microbial activity, biomass and growth [1,2,3]. Airborne microbes are also transported along with the dust/aerosols [4,5,6] and may therefore play a pivotal role in the biochemistry of the receiving environment (oceans, lakes or land). Airborne microbes can contribute to bacterial production, N2 fixation and viral infections [7,8,9,10] and affect diverse atmospheric processes (e.g., formation of clouds and snow, [11]). Currently, estimates of airborne prokaryotic microorganisms (bacteria and archaea) over large water bodies such as the ocean and lakes are limited, despite the vast coverage of these water bodies on Earth’s surface [12]. A recent study covering the tropical and subtropical ocean in the Atlantic, Pacific and Indian basins showed that airborne bacteria are highly abundant (~1021 cells) and originate from both marine and terrestrial environments [12]. Airborne prokaryotic diversity may depend on the dust/aerosol’s origin and route prior to deposition [9,13,14], while their viability may depend on other factors such as damaging levels of UV radiation, desiccation, the atmospheric temperature amplitudes, and atmospheric acidity [15]. Nevertheless, up to ~20% of all airborne prokaryotes remain viable during atmospheric transport [16]. Further, since airborne prokaryotic cells are mostly attached to soil particles [17], they may have an advantage accessing nutrients associated with aerosol, and therefore their cell-specific growth rate following deposition may be higher than that of ambient microbial populations [9,18].
In this study, we estimated the temporal variability of heterotrophic and autotrophic airborne prokaryotic microbes off the SE Mediterranean coast for 3 years (2015–2018). Our data show that airborne microbes were abundant throughout the year and that their metabolic carbon acquisition mechanism (i.e., autotrophic or heterotrophic microbe) varied based on their place of origin (marine or terrestrial source/air-mass back trajectories).

2. Material and Methods

Dust/aerosol collection—Air particles were collected from the SE Mediterranean coast onto 4 Supor sterile 47 mm polycarbonate filters (PALL, Product ID: 66234) using a custom-made total suspended particle sampler located on the rooftop of the Israel Oceanographic and Limnological research (IOLR) institute, ~20 m above sea level. The sampler’s air pump was set to 40 m3 h−1 and samples collection ranged between 7–63 h (Figure 1). Thirty-four samples were collected in total between 2015–2018 and were analyzed for autotrophic and heterotrophic prokaryotic (bacteria and archaea) abundance and for bulk concentration (total digestion) of select trace metals (Al, Pb, and Cu). Concurrent air mass back trajectories arriving at 10 m altitude were also computed using the HYSPLIT model [19] and compared to the prokaryotes reads. Additional air-mass backward trajectory simulations arriving at 100, 250, and 500 m altitudes were also run and compared to the 10 m maps, with no significant differences (not shown). The GDAS 0.5-degree meteorology data was used to run the backward trajectories using a vertical velocity motion. Aerosol/dust origin was then classified to either terrestrial or marine origin based on the time (hours) the particles (and air masses) spent over the different media.
Trace metals concentrationSuspended particles were collected in parallel to airborne microbes (Figure 1) on acid-clean (HCl, 10%) and pre-weighted Whatman 41 filters using a second high-volume sampler as described in Herut et al. (2001). After collection, the Whatman 41 filters were dried in a desiccator for 24 h before being reweighed. Trace metals (Al, Cu, and Pb) were measured after total digestion with hydrogen fluoride (HF) following the procedure of ASTM (1983) as described in Herut et al [20]. The concentrations were measured on an atomic absorption spectrometer Agilent 280FS AA and graphite furnace Agilent 240Z AA. Dry deposition rates were calculated based on total Al concentration of the collected aerosol, a settling velocity of 1.8 cm s−1 [21], and the particles’ weights collected on the filter for the volume pumped during the collection time.
Airborne prokaryotes abundanceCollected material from filters was re-suspended in 3 mL of filtered seawater (0.2 µm) from the study site and sonicated (Symphony) for 1 min. The filtered seawater was then preserved with microscopy-grade glutaraldehyde solution (Sigma-Aldrich G7651, final concentration 0.2%) and frozen in liquid nitrogen before being transferred to −80 °C. Before analyses, samples were defrosted in a 37 °C water bath, well mixed for 30 s, and 100 µL aliquot was stained with SYTO9 (1:105 v:v) for 10 min in the dark. Cell counts in the samples were determined using an Attune® Acoustic Focusing Flow Cytometer (Applied Biosystems) equipped with 488 and 405-nm lasers at 25 µL min−1 using a discrimination threshold of green fluorescence and forward-scatter. Cyanobacterial abundance was determined on non-stained samples at 100 µL min−1 with taxonomic discrimination set on the orange and red fluorescence, on side-scatter and on forward-scatter [22,23]. Beads (0.93 µm, Polysciences) were used as a size standard. Three filters in each event (out of total 4 collected) were used for bacterial abundance measurements and 1 filter served as a negative control where no air was pumped through it. Further, the reads retrieved from the filtered seawater (<10% of total events) were also used as a negative control and were subtracted from the total cell reads.
Statistical analysesAll statistical analyses were performed using the XLSTAT software (a Microsoft Excel add-in product). Pearson regression correlation analyses were carried out at p-value < 0.05. A Shapiro-Wilk normality test (Gaussian distribution) was conducted to make sure the data is normally distributed before running the parametric test. The differences in airborne microbes between sites/studies were evaluated using a one-way analysis of variance (ANOVA), followed by a Fisher Least Significant Difference (LSD) multiple comparison post-hoc test with a confidence level of 95% (α = 0.05).

3. Results and Discussion

Mean daily dust deposition to the Southeastern Mediterranean Sea waters ranged from ~0.01–0.2 g m−2 based on Al concentration and using an average Al to total mineral dust of 7%, and a settling velocity of 1.8 cm s−1 [21]. These values concur with previous studies showing that areas close to desert sources, such as the SE Mediterranean, receive 1–50 g dust m−2 year−1 [2,24]. Three-day backward trajectories were calculated for each sample with transects arriving at 10 m (Figure 2). These trajectories show varying origin locations, routes, distances, altitudes, and distributed to the following sectors: Europe (Northwest, 39% of all events), the Sahara Desert (Southwest, 37%), the Arabian Peninsula (Southeast, 12%) and Iraq/Syria (Northeast, 12%). In 16 events (47% of all events investigated in this study) a marine air-mass route was observed prior dust/aerosol collection, whereas in the other 18 events (53%) the trajectories exhibited a terrestrial route. Previous studies showed that the dust/aerosol’s atmospheric route has a significant effect on the number of prokaryotic microorganisms in the sample [9], as well as on the microbial diversity of the aerosol particle source [9,14,25,26]. Furthermore, the atmospheric route and conditions during transport (humidity, cloud cover, acidity) may affect the in-situ responses triggered in the surface oceans post-deposition. For example, addition of polluted aerosol particles resulted in a larger/stronger “biological” response than with Saharan dust particles in a mesocosm experiment at the Eastern Mediterranean waters [3,27,28], likely due to the higher solubility of macro and micronutrients of this source [29]. Thus, trajectories are an important factor to consider when assessing the transport and biogeography of airborne microbes [25], as well as the corresponding activity/functions (viability, metabolic functions, etc.) of the associated microbial community [7,9,10,30,31].
Our measurements show that heterotrophic and autotrophic (cyanobacteria) airborne prokaryotes were abundant throughout the study period (2015–2018, Figure 3). Heterotrophic prokaryotic microorganisms ranged from 188–30,601 cells m−3 air (Figure 3A), in accordance with measurements taken throughout the Atlantic [12,32], Pacific and Indian oceans [12], and the Sea of Japan [33], yet lower by an order of magnitude than recently reported in the central Red Sea [34] (Figure 4). The variability in the prokaryotic cell abundances may be attributed to the distance from nearby shore/land [12], the atmospheric route (i.e., height, duration), the concentration of dust/aerosol, as well as to differences in methodology of aerosol collection and procedure for assessing cell numbers (i.e., microscopy, qPCR, culture-based methods) [12,33,35]. Further, different meteorological conditions such as wind speed, humidity, and atmospheric pH may also affect airborne microbial community structure [36,37].
Airborne cyanobacterial abundance was usually lower than the abundance of heterotrophic microbes (t-test, p < 0.01), and ranged from 163–7575 cells m−3 (Figure 3A), as has been reported from pollen traps in Southwest Spain [38]. The occasional peaks in airborne microbial abundances were linearly correlated to the concentration of dust (as estimated using Al) (Figure 3C, Pearson correlation, p < 0.05), while seasonal variations in airborne microorganism’s abundance were not statistically significant (ANOVA, p = 0.27, Figure 3A). This is opposing to some previous studies showing that air temperature may affect airborne bacterial community composition [39,40,41]. However, monitoring of airborne bacteria in the Sea of Japan also showed a 10-fold higher abundance associated with severe Asian dust events than in “typical” (non-dusty) days, while seasonal variations were not observed [33]. The higher microbial abundance associated with mineral dust content may be attributed to the shielding and protection of microbes associated with soil particles from UV radiation in the atmosphere and the higher humidity around the particles due to water adsorption [17,42]. The lack of apparent seasonality and the positive correlation between dust/aerosols concentrations and airborne microbial abundance highlight the “episodic nature” of intense dust/aerosol events that inject airborne microbes into the surface oceans. Such episodic “pulses” can transport indigenous microbial communities such as Methylobacterium, Pseudomonas, and Enterobacteriales downwind of the sources areas, as described for the Gobi Desert region [33]. These data suggest that desert dust may contribute to the migration of prokaryotic microbes on a global scale (trans-oceanic, trans-continental), thus being an important source of microbial diversity in the earth’s ecosystem and may explain the global distribution of some microbial organisms throughout the worlds’ ocean. We hypothesize that such organisms may be those that are more abundant in aerosol and have a higher survival rate during transport. A more detailed comparison between airborne microbial diversity/viability and microbes that are cosmopolitan in water bodies will substantiate (or refute) this hypothesis.
The averaged ratio between heterotrophic and autotrophic prokaryotes in marine-origin trajectory events was ~1.7 ± 0.6 (median = 1.7), regardless of the date of sampling and the overall airborne cell concentration (Figure 3B). On the contrary, the averaged ratio between heterotrophic and autotrophic prokaryotes when terrestrial-origin events occurred was significantly larger (6.8 ± 6.1) and more variable (~1–18, median = 4.4, t-test, p = 0.02) (Figure 3B). Airborne cyanobacteria (and other eukaryotic algae) originate primarily from seawater (e.g., aerosolized by waves action and sea-foam) and to a lesser extent from soil surfaces, tree barks, rocks etc. [43]. Thus, it is not surprising that marine-originating trajectories carried relatively more cyanobacteria than terrestrial, resulting in the observed different heterotrophic to autotrophic prokaryotes ratio (Figure 3B). Further, the heterotrophic/cyanobacterial ratio in dust/aerosol samples arriving from the Southeast (Saudi Arabia, terrestrial origin) was higher than in events originating from other terrestrial trajectories that were closer to the Mediterranean Sea (Figure 3D). This is consistent with the notion that most of the airborne cyanobacteria in our samples had a marine origin.
Interestingly, while the ratio between heterotrophic microbes and cyanobacteria at the surface SE Mediterranean Sea is usually ~10:1 [44,45,46], airborne ratios were usually lower (median < 5:1, both for marine and terrestrial origins, Figure 3B). This difference may suggest that cyanobacteria are more efficiently aerosolized and/or that they better survive during transport in the air than heterotrophic microorganisms. It is possible that this is because cyanobacteria tend to be free living in seawater while heterotrophic bacteria are preferentially associated with larger marine particles and aggregates [47,48,49]. Moreover, many algal and cyanobacteria species have dormant life-stages which enable them to survive harsh conditions such as those found in the atmosphere [50,51]. Indeed, it has already been shown in the early 1960s that wind can transfer algal cysts which can become viable once deposited in sterile water [52]. It is to be noted, though, that some heterotrophic bacteria can also form spores or have the genetic machinery to tolerate the harsh atmospheric conditions. For example, Firmicutes sp., which are often found in dust samples [4,9,53], can form spores to facilitate atmospheric survival [33]. Thus, the viability and survival of airborne microorganisms (both autotrophic and heterotrophic) faced with the multi stressors often found in the atmosphere depends on their genetic capabilities to regulate protective proteins [54], their abundance in the source particles [17,55], their association with aerosol particle surfaces during transport, the aerosol’s size spectrum, as well as climatic and meteorological conditions that determine the humidity and UV exposure during transport [17,42].
The anthropogenic fraction in aerosols is enriched in dust after passing over populated and industrialized urban areas such as Europe [3,56]. Previous studies in the East Mediterranean demonstrated that the anthropogenic components in aerosols are enriched in trace metals (e.g., Cd, Pb, Zn, Cu) relative to Al [57,58], as well as in nitrogen and phosphorus compounds derived from combustion and/or agricultural sources [3,59,60]. Once these trace metals are deposited in seawater they can either relieve nutrients limitation for phytoplankton/bacteria in the surface water [61,62,63], or cause the opposite response by toxifying specific microbial populations [64,65]. Here, we found a reverse exponential relationship between Pb/Al or Cu/Al (as indicators for anthropogenic fraction and other metals toxicity) and the number of airborne prokaryotes in our samples (Figure 5). While it is unlikely that airborne microbes are active during atmospheric transport, previous studies demonstrated that once deposited in sea/lake water some of them become viable [7,9,10,30]. We postulate that viable airborne microorganisms attached to aerosol particles with relatively high anthropogenic fraction (e.g., Pb/Al or Cu/Al) may be more likely to experience toxic levels of trace metals upon transport and deposition—even more than the ambient microbial populations (i.e., [64,65]), as many of them are attached to the aerosol particles. Thus, assuming dust events will become more frequent in the future [24], increasing the removal of anthropogenic aerosols during transport, airborne microbes may become less viable upon deposition in water bodies. Alternatively, this association may provide ecological survival advantages to specific microbial populations who are less susceptible to trace metals toxicity, thus impacting microbial diversity. Therefore, trace metals such as Pb and Cu may act as important selective agents for the successful dispersal and establishment of airborne microbes in sea/lake water.

4. Conclusions

We show that airborne microbes are common over the SE Mediterranean Sea throughout the year and that their abundance in air is mostly affected by their source and atmospheric route prior to deposition, as well as the concentration of dust/aerosols in the air. Yet, the mechanisms involved in the dispersal, activity, and diversity of airborne microorganisms remain to be studied. Such efforts should include standardization in collection protocols (i.e., instrumentation) and consistent methods for quantifying airborne microbes’ abundances and diversity (i.e., microscopy, qPCR, different culturing techniques). Applying metagenomics approaches as well as evaluating the mechanisms that allow for their survival during transport and after deposition would increase our understanding of the biodiversity of microbes in the air and after deposition on land and in the ocean with their dispersal and relevance to biogeography. Given the pivotal role of airborne microbes, especially in marine areas close to deserts, we stress that future models should consider the contribution of the biological component in aerosols/dust to marine biogeochemistry.

Author Contributions

Conceptualization, E.R., A.P. and B.H.; formal analysis, E.R. and N.B.; funding acquisition, E.R., A.P. and B.H.; investigation, E.R., N.B. and B.H.; methodology, A.P.; project administration, E.R.; resources, E.R.

Funding

This research was funded by the Israel Science Foundation grant number 1211/17 (E.R. and B.H.) and by the NSF-OCE grant number 0850467 (A.P.). The authors also acknowledge the Mermex-TRANCOMED grant (B.H. and E.R.) of the French ENVIMED program.

Acknowledgments

We are grateful to Dar Golomb for contrasting the schematic illustration presented in Figure 1.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any potential conflict of interest.

References

  1. Mackey, K.R.M.; Buck, K.N.; Casey, J.R.; Cid, A.; Lomas, M.W.; Sohrin, Y.; Paytan, A. Phytoplankton responses to atmospheric metal deposition in the coastal and open-ocean Sargasso Sea. Front. Microbiol. 2012, 3, 1–15. [Google Scholar] [CrossRef] [PubMed]
  2. Guieu, C.; Aumont, O.; Paytan, A.; Bopp, L.; Law, C.S.; Mahowald, N.; Achterberg, E.P.; Marañón, E.; Salihoglu, B.; Crise, A.; et al. Global biogeochemical cycles deposition to Low Nutrient Low Chlorophyll regions. Global Biogeochem. Cycles 2014, 28, 1179–1198. [Google Scholar] [CrossRef]
  3. Herut, B.; Rahav, E.; Tsagaraki, T.M.; Giannakourou, A.; Tsiola, A.; Psarra, S.; Lagaria, A.; Papageorgiou, N.; Mihalopoulos, N.; Theodosi, C.N.; et al. The potential impact of Saharan dust and polluted aerosols on microbial populations in the east Mediterranean Sea, an overview of a mesocosm experimental approach. Front. Mar. Sci. 2016, 3, 226. [Google Scholar] [CrossRef]
  4. Gat, D.; Mazar, Y.; Cytryn, E.; Rudich, Y. Origin-dependent variations in the atmospheric microbiome community in Eastern Mediterranean dust storms. Environ. Sci. Technol. 2017, 51, 6709–6718. [Google Scholar] [CrossRef]
  5. Maki, T.; Kurosaki, Y.; Onishi, K.; Lee, K.C.; Pointing, S.B.; Jugder, D.; Yamanaka, N.; Hasegawa, H.; Shinoda, M. Variations in the structure of airborne bacterial communities in Tsogt-Ovoo of Gobi desert area during dust events. Air Qual. Atmos. Heal. 2017, 10, 249–260. [Google Scholar] [CrossRef]
  6. Behzad, H.; Mineta, K.; Gojobori, T. Global ramifications of dust and sandstorm microbiota. Genome Biol. Evol. 2018, 10, 1970–1987. [Google Scholar] [CrossRef] [PubMed]
  7. Reche, I.; Ortega-Retuerta, E.; Romera, O.; Pulido-Villena, E.; Morales-Baquero, R.; Casamayor, E.O. Effect of Saharan dust inputs on bacterial activity and community composition in Mediterranean lakes and reservoirs. Limnol. Oceanogr. 2009, 54, 869–879. [Google Scholar] [CrossRef] [Green Version]
  8. Sharoni, S.; Trainic, M.; Schatz, D.; Lehahn, Y.; Flores, M.J.; Bidle, K.D.; Ben-Dor, S.; Rudich, Y.; Koren, I.; Vardi, A. Infection of phytoplankton by aerosolized marine viruses. Proc. Natl. Acad. Sci. USA 2015, 112, 6643–6647. [Google Scholar] [CrossRef] [Green Version]
  9. Rahav, E.; Ovadia, G.; Paytan, A.; Herut, B. Contribution of airborne microbes to bacterial production and N2 fixation in seawater upon aerosol deposition. Geophys. Res. Lett. 2016, 43. [Google Scholar] [CrossRef]
  10. Rahav, E.; Paytan, A.; Mescioglu, E.; Galletti, Y.; Rosenfeld, S.; Raveh, O.; Santinelli, C.; Ho, T.; Herut, B. Airborne microbes contribute to N2 fixation in surface water of the Northern Red Sea. Geophys. Res. Lett. 2018, 2–10. [Google Scholar] [CrossRef]
  11. Christner, B.C.; Morris, C.E.; Foreman, C.M.; Cai, R.; David, C. Ubiquity of biological ice nucleators in snowfall. Sceine 2008, 5867, 1214. [Google Scholar] [CrossRef]
  12. Mayol, E.; Arrieta, J.M.; Jiménez, M.A.; Martínez-Asensio, A.; Garcias-Bonet, N.; Dachs, J.; González-Gaya, B.; Royer, S.J.; Benítez-Barrios, V.M.; Fraile-Nuez, E.; Duarte, C.M. Long-range transport of airborne microbes over the global tropical and subtropical ocean. Nat. Commun. 2017, 8, 1–8. [Google Scholar] [CrossRef]
  13. Polymenakou, P.N. Atmosphere: A source of pathogenic or beneficial microbes? Atmosphere (Basel) 2012, 3, 87–102. [Google Scholar] [CrossRef]
  14. Katra, I.; Arotsker, L.; Krasnov, H.; Zaritsky, A.; Kushmaro, A.; Ben-Dov, E. Richness and diversity in dust stormborne biomes at the southeast mediterranean. Sci. Rep. 2014, 4, 5265. [Google Scholar] [CrossRef]
  15. Mohr, A. Fate and transport of microorganisms in air. In Manual of Environmental Microbiology; Hurst, C., Crawford Garland, J., Lipson, D., Mills, A., Stetzenbach, L., Eds.; ASM Press: Washington, DC, USA, 2007; pp. 961–971. [Google Scholar]
  16. Womack, A.M.; Bohannan, B.J.M.; Green, J.L. Biodiversity and biogeography of the atmosphere. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2010, 365, 3645–3653. [Google Scholar] [CrossRef] [Green Version]
  17. Griffin, D.W. Atmospheric movement of microorganisms in clouds of desert dust and implications for human health. Clin. Microbiol. Rev. 2007, 20, 459–477. [Google Scholar] [CrossRef] [PubMed]
  18. Rahav, E.; Paytan, A.; Chien, C.-T.; Ovadia, G.; Katz, T.; Herut, B. The impact of atmospheric dry deposition associated microbes on the southeastern Mediterranean Sea surface water following an intense dust storm. Front. Mar. Sci. 2016, 3. [Google Scholar] [CrossRef]
  19. Draxler, R.R.; Rolph, G.D. Evaluation of the transfer coefficient matrix (TCM) approach to model the atmospheric radionuclide air concentrations from Fukushima. J. Geophys. Res. Atmos. 2012, 117, 1–10. [Google Scholar] [CrossRef]
  20. Herut, B.; Nimmo, M.; Medway, A.; Chester, R.; Krom, M.D. Dry atmospheric inputs of trace metals at the Mediterranean coast of Israel (SE Mediterranean): Sources and fluxes. Atmos. Environ. 2001, 35, 803–813. [Google Scholar] [CrossRef]
  21. Koçak, M.; Kubilay, N.; Herut, B.; Nimmo, M. Dry atmospheric fluxes of trace metals (Al, Fe, Mn, Pb, Cd, Zn, Cu) over the Levantine Basin: A refined assessment. Atmos. Environ. 2005, 39, 7330–7341. [Google Scholar] [CrossRef]
  22. Rahav, E.; Raveh, O.; Hazan, O.; Gordon, N.; Kress, N.; Silverman, J.; Herut, B. Impact of nutrient enrichment on productivity of coastal water along the SE Mediterranean shore of Israel—A bioassay approach. Mar. Pollut. Bull. 2018, 127, 559–567. [Google Scholar] [CrossRef]
  23. Raveh, O.; David, N.; Rilov, G.; Rahav, E. The temporal dynamics of coastal phytoplankton and bacterioplankton in the Eastern Mediterranean Sea. PLoS ONE 2015, 10, 1–23. [Google Scholar] [CrossRef] [PubMed]
  24. Lawrence, C.R.; Neff, J.C. The contemporary physical and chemical flux of aeolian dust: A synthesis of direct measurements of dust deposition. Chem. Geol. 2009, 267, 46–63. [Google Scholar] [CrossRef]
  25. Kellogg, C.A.; Griffin, D.W. Aerobiology and the global transport of desert dust. Trends Ecol. Evol. 2006, 21, 638–644. [Google Scholar] [CrossRef] [PubMed]
  26. Seifried, J.S.; Wichels, A.; Gerdts, G. Spatial distribution of marine airborne bacterial communities. Microbiol. Open 2015, 25, 475–490. [Google Scholar] [CrossRef]
  27. Rahav, E.; Shun-Yan, C.; Cui, G.; Liu, H.; Tsagaraki, T.M.; Giannakourou, A.; Tsiola, A.; Psarra, S.; Lagaria, A.; Mulholland, M.R.; et al. Evaluating the impact of atmospheric depositions on springtime dinitrogen fixation in the Cretan Sea (Eastern Mediterranean)—A mesocosm approach. Front. Mar. Sci. 2016, 3, 1–13. [Google Scholar] [CrossRef]
  28. Tsagaraki, T.M.; Herut, B.; Rahav, E.; Berman Frank, I.R.; Tsiola, A.; Tsapakis, M.; Giannakourou, A.; Gogou, A.; Panagiotopoulos, C.; Violaki, K.; et al. Atmospheric deposition effects on plankton communities in the Eastern Mediterranean: A mesocosm experimental approach. Front. Mar. Sci. 2017, 4, 210. [Google Scholar] [CrossRef]
  29. Krom, M.D.; Shi, Z.; Stockdale, A.; Berman-Frank, I.; Giannakourou, A.; Herut, B.; Lagaria, A.; Papageorgiou, N.; Pitta, P.; Psarra, S.; et al. Response of the Eastern Mediterranean microbial ecosystem to dust and dust affected by acid processing in the atmosphere. Front. Mar. Sci. 2016, 3. [Google Scholar] [CrossRef]
  30. Peter, H.; Hörtnagl, P.; Reche, I.; Sommaruga, R. Bacterial diversity and composition during rain events with and without Saharan dust influence reaching a high mountain lake in the Alps. Environ. Microbiol. Rep. 2014, 6, 618–624. [Google Scholar] [CrossRef] [Green Version]
  31. Reche, I.; D’Orta, G.; Mladenov, N.; Winget, D.M.; Suttle, C.A. Deposition rates of viruses and bacteria above the atmospheric boundary layer. ISME J. 2018, 12, 1154–1162. [Google Scholar] [CrossRef] [PubMed]
  32. Mayol, E.; Jiménez, M.A.; Herndl, G.J.; Duarte, C.M.; Arrieta, J.M. Resolving the abundance and air-sea fluxes of airborne microorganisms in the North Atlantic Ocean. Front. Microbiol. 2014, 5, 1–9. [Google Scholar] [CrossRef] [PubMed]
  33. Yamaguchi, N.; Park, J.; Kodama, M.; Ichijo, T.; Baba, T.; Nasu, M. Changes in the airborne bacterial community in outdoor environments following Asian dust events. Microbes Environ. 2014, 29, 82–88. [Google Scholar] [CrossRef] [PubMed]
  34. Yahya, R.Z.; Duarte, C.M.; Cusack, M.; Arrieta, J.M. Airborne prokaryote and virus abundance over the Red Sea. Front. Microbiol. 2019. [Google Scholar] [CrossRef]
  35. Lighthart, B.; Shaffer, B.T. Survey of culturable airborne bacteria at four diverse locations in Oregon: Urban, rural, forest, and coastal. Microb. Ecol. 1997, 34, 167–177. [Google Scholar]
  36. Gandolfi, I.; Bertolini, V.; Bestetti, G.; Ambrosini, R.; Innocente, E.; Rampazzo, G.; Papacchini, M.; Franzetti, A. Spatio-temporal variability of airborne bacterial communities and their correlation with particulate matter chemical composition across two urban areas. Appl. Microbiol. Biotechnol. 2015, 99, 4867–4877. [Google Scholar] [CrossRef]
  37. Bowers, R.M.; McLetchie, S.; Knight, R.; Fierer, N. Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments. ISME J. 2011, 5, 601–612. [Google Scholar] [CrossRef]
  38. Tormo, R.; Recio, D.; Silva, I.; MUÑOZ, A. Pollen traps in south-west Spain. Eur. J. Phycol. 2011, 36, 385–390. [Google Scholar] [CrossRef]
  39. Genitsaris, S.; Kormas, K.A.; Moustaka-Gouni, M. Airborne algae and cyanobacteria: Occurrence and related health effects. Front. Biosci. (Elite Ed.) 2011, 3, 772–787. [Google Scholar]
  40. Jones, A.M.; Harrison, R.M. The effects of meteorological factors on atmospheric bioaerosol concentrations—A review. Sci. Total Environ. 2004, 326, 151–180. [Google Scholar] [CrossRef]
  41. Bowers, R.M.; Clements, N.; Emerson, J.B.; Wiedinmyer, C.; Hannigan, M.P.; Fierer, N. Seasonal variability in bacterial and fungal diversity of the near-surface atmosphere. Environ. Sci. Technol. 2013, 47, 12097–12106. [Google Scholar] [CrossRef]
  42. Roy-Ocotla, G.; Carrera, J. Aeroalgae: Responses to some aerobiological questions. Grana 1993, 32, 48–56. [Google Scholar] [CrossRef] [Green Version]
  43. Sahu, N.; Tangutur, A.D. Airborne algae: Overview of the current status and its implications on the environment. Aerobiologia (Bologna) 2015, 31, 89–97. [Google Scholar] [CrossRef]
  44. Hazan, O.; Silverman, J.; Sisma-Ventura, G.; Ozer, T.; Gertman, I.; Shoham-Frider, E.; Kress, N.; Rahav, E. Mesopelagic prokaryotes alter surface phytoplankton production during simulated deep mixing experiments in Eastern Mediterranean Sea waters. Front. Mar. Sci. 2018, 5. [Google Scholar] [CrossRef]
  45. Rahav, E.; Silverman, J.; Raveh, O.; Hazan, O.; Rubin-Blum, M.; Zeri, C.; Gogou, A.; Kralj, M.; Pavlidou, A.; Kress, N. The deep water of Eastern Mediterranean Sea is a hotspot for bacterial activity. Deep Sea Res. Part II Top. Stud. Oceanogr. 2019. [Google Scholar] [CrossRef]
  46. Livanou, E.; Lagaria, A.; Santi, I.; Pavlidou, A.; Lika, K.; Psarra, S. Pigmented and Heterotrophic Nanoflagellates: Abundance and grazing on picoplankton in the ultra-oligotrophic Eastern Mediterranean Sea. Deep. Res. Part II 2019. [Google Scholar] [CrossRef]
  47. Passow, U. Production of transparent exopolymer particles (TEP) by phyto- and bacterioplankton. Mar. Ecol. Prog. Ser. 2002, 236, 1–12. [Google Scholar] [CrossRef] [Green Version]
  48. Bar-Zeev, E.; Berman, T.; Rahav, E.; Dishon, G.; Herut, B.; Kress, N.; Berman-Fran, I. Transparent exopolymer particle (TEP) dynamics in the eastern Mediterranean Sea. Mar. Ecol. Prog. Ser. 2011, 431. [Google Scholar] [CrossRef]
  49. Bar-Zeev, E.; Passow, U.; Romero-Vargas Castrillón, S.; Elimelech, M. Transparent exopolymer particles: From aquatic environments and engineered systems to membrane biofouling. Environ. Sci. Technol. 2015, 49, 691–707. [Google Scholar] [CrossRef] [PubMed]
  50. Kristiansen, J. Dispersal of freshwater algae—A review. Hydrobiologia 1996, 336, 151–157. [Google Scholar] [CrossRef]
  51. Hamilton, W.D.; Lenton, T.M. Spora and gaia: How microbes fly with their clouds. Ethol. Ecol. Evol. 1998, 10, 1–16. [Google Scholar] [CrossRef]
  52. Maguire, B. The passive dispersal of small aquatic organisms and their colonization of isolated bodies of water. Ecol. Modell. 1963, 33, 161–185. [Google Scholar] [CrossRef]
  53. Yamaguchi, N.; Ichijo, T.; Sakotani, A.; Baba, T.; Nasu, M. Global dispersion of bacterial cells on Asian dust. Sci. Rep. 2012, 2, 1–6. [Google Scholar] [CrossRef]
  54. Kulkarni, G.; Wu, C.H.; Newmana, D.K. The general stress response factor EcfG regulates expression of the C-2 hopanoid methylase HpnP in Rhodopseudomonas palustris TIE-1. J. Bacteriol. 2013, 195, 2490–2498. [Google Scholar] [CrossRef] [PubMed]
  55. Pedrós-Alió, C. Marine microbial diversity: Can it be determined? Trends Microbiol. 2006, 14, 257–263. [Google Scholar] [CrossRef] [PubMed]
  56. Koçak, M.; Theodosi, C.; Zarmpas, P.; Suguret, M.J.M.; Herut, B.; Kallos, G.; Mihalopoulos, N.; Kubilay, N.; Nimmo, M. Influence of mineral dust transport on the chemical composition and physical properties of the Eastern Mediterranean aerosol. Atmos. Environ. 2012, 57, 266–277. [Google Scholar] [CrossRef]
  57. Herut, B.; Collier, R.; Krom, M.D. The role of dust in supplying nitrogen and phosphorus to the southeast Mediterranean. Limnol. Oceanogr. 2002, 47, 870–878. [Google Scholar] [CrossRef]
  58. Koçak, M.; Kubilay, N.; Tuǧrul, S.; Mihalopoulos, N. Atmospheric nutrient inputs to the northern levantine basin from a long-term observation: Sources and comparison with riverine inputs. Biogeosciences 2010, 7, 4037–4050. [Google Scholar] [CrossRef]
  59. Herut, B.; Krom, M.D.D.; Pan, G.; Mortimer, R. Atmospheric input of nitrogen and phosphorus to the Southeast Mediterranean: Sources, fluxes, and possible impact. Limnol. Ocean. 1999, 44, 1683–1692. [Google Scholar] [CrossRef] [Green Version]
  60. Duce, R.A.; LaRoche, J.; Altieri, K.; Arrigo, K.R.; Baker, A.R.; Capone, D.G.; Cornell, S.; Dentener, F.; Galloway, J.; Ganeshram, R.S.; et al. Impacts of atmospheric anthropogenic nitrogen on the open ocean. Science 2008, 320, 893–897. [Google Scholar] [CrossRef]
  61. Mills, M.M.; Ridame, C.; Davey, M.; La Roche, J.; Geider, R.J. Iron and phosphorus co-limit nitrogen fixation in the eastern tropical North Atlantic. Nature 2004, 429, 292–294. [Google Scholar] [CrossRef] [Green Version]
  62. Guo, C.; Xia, X.; Pitta, P.; Herut, B.; Rahav, E.; Berman-Frank, I.; Giannakourou, A.; Tsiola, A.; Tsagaraki, T.M.; Liu, H. Shifts in microbial community structure and activity in the ultra-oligotrophic Eastern Mediterranean Sea driven by the deposition of Saharan Dust and European Aerosols. Front. Mar. Sci. 2016, 3, 1–13. [Google Scholar] [CrossRef]
  63. Mackey, K.R.M.; Rivlin, T.; Grossman, A.R.; Post, A.F.; Paytan, A. Picophytoplankton responses to changing nutrient and light regimes during a bloom. Mar. Biol. 2009, 156, 1531–1546. [Google Scholar] [CrossRef] [Green Version]
  64. Paytan, A.; Mackey, K.R.M.; Chen, Y.; Lima, I.D.; Doney, S.C.; Mahowald, N.; Labiosa, R.; Post, A.F.A.F. Toxicity of atmospheric aerosols on marine phytoplankton. Proc. Natl. Acad. Sci. USA 2009, 106, 4601–4605. [Google Scholar] [CrossRef]
  65. Jordi, A.; Basterretxea, G.; Tovar-Sánchez, A.; Alastuey, A.; Querol, X. Copper aerosols inhibit phytoplankton growth in the Mediterranean Sea. Proc. Natl. Acad. Sci. USA 2012, 109, 21246–21249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. A schematic illustration of the custom-made air volume sampler used to collect dust and corresponding airborne microbes on the rooftop of the IOLR (~20 m above sea level) between 2015–2018. Dust/aerosol particles in the air were vacuum pumped at ~40 m3 h−1 for 7–63 h onto sterile 47 mm polycarbonate filters.
Figure 1. A schematic illustration of the custom-made air volume sampler used to collect dust and corresponding airborne microbes on the rooftop of the IOLR (~20 m above sea level) between 2015–2018. Dust/aerosol particles in the air were vacuum pumped at ~40 m3 h−1 for 7–63 h onto sterile 47 mm polycarbonate filters.
Atmosphere 10 00280 g001
Figure 2. (A) Backward trajectories calculated with NOAA HYSPLIT model arriving at 10 m altitude to Tel-Shikmona, Haifa (SE Mediterranean coast) between 2015–2018 (n = 34). (B) A summary of the main trajectories computed/calcified based on the route prior collection; marine (blue) and terrestrial (brown).
Figure 2. (A) Backward trajectories calculated with NOAA HYSPLIT model arriving at 10 m altitude to Tel-Shikmona, Haifa (SE Mediterranean coast) between 2015–2018 (n = 34). (B) A summary of the main trajectories computed/calcified based on the route prior collection; marine (blue) and terrestrial (brown).
Atmosphere 10 00280 g002
Figure 3. (A) Temporal variability of dust-associated airborne heterotrophic (white) and autotrophic (green) bacteria between 2015–2018 at the SE Mediterranean coast. Values presented are the averages and corresponding standard deviation in each time point (n = 3). (B) The relationship between autotrophic and heterotrophic airborne prokaryotes based on air-mass back trajectories. The dashed red line signifies the “typical” heterotrophic to autotrophic prokaryotic ratio in the SE Mediterranean seawater. (C) The relationship between Al concentration and airborne heterotrophic (white) and autotrophic (green) bacteria (Pearson linear regression, p < 0.05). (D) The relationship between autotrophic and heterotrophic airborne prokaryotes based on the main backward trajectory prior dust/aerosols collection. The horizontal line within the box represents the median value. The letters above the box-plots represent significant differences (ANOVA, p < 0.05) for mean values between sampling sites.
Figure 3. (A) Temporal variability of dust-associated airborne heterotrophic (white) and autotrophic (green) bacteria between 2015–2018 at the SE Mediterranean coast. Values presented are the averages and corresponding standard deviation in each time point (n = 3). (B) The relationship between autotrophic and heterotrophic airborne prokaryotes based on air-mass back trajectories. The dashed red line signifies the “typical” heterotrophic to autotrophic prokaryotic ratio in the SE Mediterranean seawater. (C) The relationship between Al concentration and airborne heterotrophic (white) and autotrophic (green) bacteria (Pearson linear regression, p < 0.05). (D) The relationship between autotrophic and heterotrophic airborne prokaryotes based on the main backward trajectory prior dust/aerosols collection. The horizontal line within the box represents the median value. The letters above the box-plots represent significant differences (ANOVA, p < 0.05) for mean values between sampling sites.
Atmosphere 10 00280 g003
Figure 4. Compilation of airborne prokaryotes abundance over the oceans. Data was compiled from References [12,32,33,34] and this study. Box-Whisker plots show the interquartile range (25th–75th percentile) of the data set. The horizontal line within the box represents the median value. The letters above the box-plots represent significant differences (ANOVA, p < 0.05) for mean values between sampling sites.
Figure 4. Compilation of airborne prokaryotes abundance over the oceans. Data was compiled from References [12,32,33,34] and this study. Box-Whisker plots show the interquartile range (25th–75th percentile) of the data set. The horizontal line within the box represents the median value. The letters above the box-plots represent significant differences (ANOVA, p < 0.05) for mean values between sampling sites.
Atmosphere 10 00280 g004
Figure 5. The relationship between the Pb/Al (A,B) and Cu/Al (C,D) ratios and heterotrophic prokaryotes (A,C) and autotrophic prokaryotes (B,D) abundance.
Figure 5. The relationship between the Pb/Al (A,B) and Cu/Al (C,D) ratios and heterotrophic prokaryotes (A,C) and autotrophic prokaryotes (B,D) abundance.
Atmosphere 10 00280 g005

Share and Cite

MDPI and ACS Style

Rahav, E.; Belkin, N.; Paytan, A.; Herut, B. The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea. Atmosphere 2019, 10, 280. https://doi.org/10.3390/atmos10050280

AMA Style

Rahav E, Belkin N, Paytan A, Herut B. The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea. Atmosphere. 2019; 10(5):280. https://doi.org/10.3390/atmos10050280

Chicago/Turabian Style

Rahav, Eyal, Natalia Belkin, Adina Paytan, and Barak Herut. 2019. "The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea" Atmosphere 10, no. 5: 280. https://doi.org/10.3390/atmos10050280

APA Style

Rahav, E., Belkin, N., Paytan, A., & Herut, B. (2019). The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea. Atmosphere, 10(5), 280. https://doi.org/10.3390/atmos10050280

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop