| Literature DB >> 29101891 |
Huan Liu1, Xu Zhang1, Hao Zhang1, Xiangwu Yao1, Meng Zhou1, Jiaqi Wang1, Zhanfei He1, Huihui Zhang1, Liping Lou1, Weihua Mao2, Ping Zheng1, Baolan Hu3.
Abstract
In recent years, air pollution events have occurred frequently in China during the winter. Most studies have focused on the physical and chemical composition of polluted air. Some studies have examined the bacterial bioaerosols both indoors and outdoors. But few studies have focused on the relationship between air pollution and bacteria, especially pathogenic bacteria. Airborne PM samples with different diameters and different air quality index values were collected in Hangzhou, China from December 2014 to January 2015. High-throughput sequencing of 16S rRNA was used to categorize the airborne bacteria. Based on the NCBI database, the "Human Pathogen Database" was established, which is related to human health. Among all the PM samples, the diversity and concentration of total bacteria were lowest in the moderately or heavily polluted air. However, in the PM2.5 and PM10 samples, the relative abundances of pathogenic bacteria were highest in the heavily and moderately polluted air respectively. Considering the PM samples with different particle sizes, the diversities of total bacteria and the proportion of pathogenic bacteria in the PM10 samples were different from those in the PM2.5 and TSP samples. The composition of PM samples with different sizes range may be responsible for the variances. The relative humidity, carbon monoxide and ozone concentrations were the main factors, which affected the diversity of total bacteria and the proportion of pathogenic bacteria. Among the different environmental samples, the compositions of the total bacteria were very similar in all the airborne PM samples, but different from those in the water, surface soil, and ground dust samples. Which may be attributed to that the long-distance transport of the airflow may influence the composition of the airborne bacteria. This study of the pathogenic bacteria in airborne PM samples can provide a reference for environmental and public health researchers.Entities:
Keywords: Air quality index; Airborne particulate matter; Pathogenic bacteria; Total bacteria
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Year: 2017 PMID: 29101891 DOI: 10.1016/j.envpol.2017.10.070
Source DB: PubMed Journal: Environ Pollut ISSN: 0269-7491 Impact factor: 8.071