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Bacteria are ubiquitous and abundant in the atmosphere and some of them are potential pathogens known to cause diseases or allergies in humans. However, the quantities and compositions of total airborne bacterial community and their relationships with environmental factors remain poorly investigated. Here, a case study of the total airborne bacteria of PM 2.5 collected at six cities in Beijing-Tianjin-Hebei (BTH) megalopolis, China were profiled using quantitative polymerase chain reaction (qPCR) and Illumina MiSeq (PE300) sequencing. qPCR results showed the high abundance of total airborne bacteria of PM 2.5 in BTH, ranging from 4.82 × 10 4 ± 1.58 × 10 3 to 2.64 × 10 5 ± 9.63 × 10 4 cell m -3 air, and averaged 1.19 × 10 5 cell m -3 air. The six PM 2.5 samples were classified into three groups. Proteobacteria, Cyanobacteria, Actinobacteria and Firmicutes were the four dominant phyla of PM 2.5 . 18 common potential pathogens with extremely low percentage (3.61%) were observed, which were dominated by Enterococcus faecium and Escherichia coli. Plants and soil are probably the main sources of bacteria in PM 2.5 , as suggested by the high percentages of Chloroplast, plant-associated bacteria (e.g., Rhizobiales and Sphingomonadales) and soil-inhabiting bacteria (e.g., Burkholderiales and Pseudomonadales). Variation partitioning analysis (VPA) indicated that the atmospheric pollutants explained the most of the variation (31.90%) in community structure of PM 2.5 , followed by meteorological conditions (15.73%) and the chemical compositions of PM 2.5 (11.32%). The case study furthers our understanding of the diversity and composition of airborne bacterial communities of PM 2.5 in BTH, and also identified the main factors shaping the bacterial communities.

Dynamics of bacterial communities and nitrogen metabolism genes in a full-scale WWTP as revealed by Illumina sequencing and PICRUSt.

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