Seasonal variability of bacteria in fine and coarse urban air particulate matter
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The current knowledge about the microbial communities associated with airborne particulate matter, particularly in urban areas, is limited. This study aims to fill this gap by describing the microbial community associated with coarse (PM10) and fine (PM2.5) particulate matter using pyrosequencing. Particulate matter was sampled on Teflon filters over 3 months in summer and 3 months in winter in Milan (Italy), and the hypervariable V3 region of the gene 16S rRNA amplified from the DNA extracted from the filters. The results showed large seasonal variations in the microbial communities, with plant-associated bacteria dominating in summer and spore-forming bacteria in winter. Bacterial communities from PM10 and PM2.5 were also found to differ from each other by season. In all samples, a high species richness, comparable with that of soils, but a low evenness was found. The results suggest that not only can the sources of the particulate influence the presence of specific bacterial groups but also that environmental factors and stresses can shape the bacterial community.
KeywordsParticulate matter Airborne bacteria
We thank Ezio Bolzacchini and colleagues for PM sampling and Giuseppe Merlino for helping set up the methods. The authors are grateful to Christopher Quince for precious help on the de-noising process and to J. Bunge and L. Woodard for kindly providing the CatchAll beta.4 software and for assistance in calculations. This work was supported by CARIPLO FOUNDATION (Milan, Italy) in the frame of the project TOSCA (Toxicity of particulate matter and molecular markers of risk).
- European Environmental Agency (EEA) (2009) Spatial assessment of PM10 and ozone concentrations in Europe (2005) Copenhagen. EEA, DenmarkGoogle Scholar
- Gini C (1912) Variability and mutuability (Variabilitá e mutuabilitá). In: Pinzetti TE, Salvemini (eds) Memories of methodological statistics (Memorie di metodologica statistica) (1955). Libreria Eredi Virgilio Veschi, RomeGoogle Scholar
- Handcock M, Morris M (1999) Relative distribution methods in the social sciences. Springer, New YorkGoogle Scholar
- Ludwig W, Strunk O, Westram R, Richter L, Meier H, Yadhukumar BA, Lai T, Steppi S, Jobb G, Förster W, Brettske I, Gerber S, Ginhart A, Gross O, Grumann S, Hermann S, Jost R, König A, Liss T, Lüssmann R, May M, Nonhoff B, Reichel B, Strehlow R, Stamatakis A, Stuckmann N, Vilbig A, Lenke M, Ludwig T, Bode A, Schleifer K (2004) ARB: a software environment for sequence data. Nucleic Acids Res 32:1363–1371CrossRefGoogle Scholar
- Mancinelli RL, Shulls W (1978) Airborne bacteria in an urban-environment. Appl Environ Microbiol 35:1095–1101Google Scholar
- Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen ZT, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Irzyk GP, Jando SC, Alenquer MLI, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, Lohman KL, Lu H, Makhijani VB, McDade KE, McKenna MP, Myers EW, Nickerson E, Nobile JR, Plant R, Puc BP, Ronan MT, Roth GT, Sarkis GJ, Simons JF, Simpson JW, Srinivasan M, Tartaro KR, Tomasz A, Vogt KA, Volkmer GA, Wang SH, Wang Y, Weiner MP, Yu PG, Begley RF, Rothberg JM (2005) Genome sequencing in microfabricated high-density picolitre reactors. Nature 437:376–380Google Scholar
- R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at http://www.R-project.org
- Roesch LF, Fulthorpe RR, Riva A, Casella G, Hadwin AKM, Kent AD, Daroub SH, SH CFAO, Farmerie WG, Triplett EW (2007) Pyrosequencing enumerates and contrasts soil microbial diversity. ISME J 1:283–290Google Scholar
- Schloss P, Westcott S, Ryabin T, Hall J, Hartmann M, Hollister E, Lesniewski R, Oakley B, Parks D, Robinson C, Sahl J, Stres B, Thallinger G, Van Horn D, Weber C (2009) Introducing Mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541CrossRefGoogle Scholar
- U.S. Environmental Protection agency (EPA) (2004) Particulate matter research program five years of progress. EPA, Office of Research and Development, WashingtonGoogle Scholar