2014PubMedRequires access

[Diversity of bacterial aerosols in precipitation of Shanghai area].

Zongmin Liang, Rui Du, Pengrui Du, Yaling Wang, Ziming Li

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Abstract

In the present study, 16S rRNA gene sequencing based approaches were used to analyze the bacterial communities and diversity in the precipitation samples from Shanghai city, which were carried out in different months in 2012. Five clone libraries were established based on the rainwater samples collected during 5 different precipitation periods. The results showed that Proteobacteria (alpha-, beta-, gamma-) (32.5% - 94.1%) were dominant in the precipitation, including Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria, while other 6 bacterial communities, such as Bacteroidetes, Actinobacteria, Deinococcus-Thermus, Cyanobacteria, Acidobacteria, and Firmicutes, were involved as well. Furthermore, a small proportion of undetermined bacteria (TM7, 2.5%) were also found. In addition, microbial diversity in the sample of SH6 was obviously more than those in other samplers. The investigation revealed that there was a difference in the bacterial communities and diversity in precipitation of different months.

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In the present study, 16S rRNA gene sequencing based approaches were used to analyze the bacterial communities and diversity in the precipitation samples from Shanghai city, which were carried out in different months in 2012. Five clone libraries were established based on the rainwater samples collected during 5 different precipitation periods. The results showed that Proteobacteria (alpha-, beta-, gamma-) (32.5% - 94.1%) were dominant in the precipitation, including Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria, while other 6 bacterial communities, such as Bacteroidetes, Actinobacteria, Deinococcus-Thermus, Cyanobacteria, Acidobacteria, and Firmicutes, were involved as well. Furthermore, a small proportion of undetermined bacteria (TM7, 2.5%) were also found. In addition, microbial diversity in the sample of SH6 was obviously more than those in other samplers. The investigation revealed that there was a difference in the bacterial communities and diversity in precipitation of different months.

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Available abstract

In the present study, 16S rRNA gene sequencing based approaches were used to analyze the bacterial communities and diversity in the precipitation samples from Shanghai city, which were carried out in different months in 2012. Five clone libraries were established based on the rainwater samples collected during 5 different precipitation periods. The results showed that Proteobacteria (alpha-, beta-, gamma-) (32.5% - 94.1%) were dominant in the precipitation, including Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria, while other 6 bacterial communities, such as Bacteroidetes, Actinobacteria, Deinococcus-Thermus, Cyanobacteria, Acidobacteria, and Firmicutes, were involved as well. Furthermore, a small proportion of undetermined bacteria (TM7, 2.5%) were also found. In addition, microbial diversity in the sample of SH6 was obviously more than those in other samplers. The investigation revealed that there was a difference in the bacterial communities and diversity in precipitation of different months.

Key concepts: Acidobacteria, Betaproteobacteria, Gammaproteobacteria, Alphaproteobacteria, Firmicutes, Actinobacteria, Bacteroidetes, Gemmatimonadetes

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