Bacterial characterization in ambient submicron particles during severe haze episodes at Ji'nan, China

TitleBacterial characterization in ambient submicron particles during severe haze episodes at Ji'nan, China
Publication TypeJournal Article
Year of Publication2017
AuthorsXu, C, Wei, M, Chen, J, Wang, X, Zhu, C, Li, J, Zheng, L, Sui, G, Li, W, Wang, W
Abstract

In January, 2014, severe haze episodes which sweep across Chinese cities have attracted public concern and interest at home and abroad. In addition to the physicochemical properties of air pollutants, bacteria are thought to be responsible for the spread of respiratory diseases and various allergies. We attempted the bacterial characterization of submicron particles (PM0.18-0.32, PM0.32-0.56, and PMo.(56-1)) under severe haze episodes using high throughput sequencing and real-time quantitative PCR detecting system based on 21 samples collected from January to March 2014 at Ji'nan, China. The high bacterial concentration in PIV0.32-056 (7314 cells m(-3)), PM0.18-032 (7212 cells m(-3)), and PM0.56-1 (6982 cells m-3) showed significant negative correlations with SO2, NO2, and O-3. Under sufficient sequencing depth, 37 phyla, 71 classes, 137 orders, 236 families, and 378 genera were classified, and the bacterial community structure varied significantly in different size fractions. For example, Holophagaceae (Acidobacteria) in PM0.32-0.56 showed 6-fold higher abundance than that in PM0.(18-0.32). Moreover, functional categories and bacterial species (Lactococcus piscium, Pseudomonas fragi, Streptococcus agalactiae, and Pseudomonas cichorii) that may potentially be responsible for infections and allergies were also discovered. Source track analysis showed that the ambient bacteria mainly originated from soils, leaf surfaces, and feces. Our results highlighted the importance of airborne microbial communities by understanding the concentration, structure, ecological' and health effects, especially those in submicron particles during haze episodes. (C) 2016 Published by Elsevier B.V.

DOI10.1016/j.scitotenv.2016.11.145
Research areas