4.7 Article

Characteristics of atmospheric bacterial and fungal communities in PM2.5 following biomass burning disturbance in a rural area of North China Plain

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 651, Issue -, Pages 2727-2739

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.09.399

Keywords

Biomass burning; Community structure; Function; Organic carbon

Funding

  1. National Natural Science Foundation of China [41605113, 91743202, 21527814]
  2. China Postdoctoral Science Foundation [2015M582095, 2018M632713]
  3. Marie Sklodowska-Curie Actions [690958-MARSU-RISE-2015]
  4. Ministry of Science and Technology of the People's Republic of China [2016YFC0202700]

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Biomass burning (BB) in North China Plain has been urgent issue in recent years due to the severe environmental impaction. Bacteria and fungi are ubiquitous in particulate matter. Their taxonomic composition, concentration, ecophysiological functions have potentially important implications in atmospheric biochemical cycle and human health. However, current knowledge about airborne microbes during biomass burning period is scant Here we investigated bacterial and fungal community composition, abundance and potential function in Yucheng, the center of the North China Plain during summer harvest season in 2014. Monthly field observation suggested serious pollution with high concentration of PM2.5 and water-soluble ions during biomass burning period. Elevated total bacterial and fungal concentration determined by real-time quantitative PCR was observed for samples during burning events. The predominant bacterial taxa were gram-negative, e.g. Acinetobacter, Cyanobacterium, Janthinobacterium, Massilia, Pseudomonas, accounted for 70.9% of total bacteria. The filamentous fungi Alternaria, Aspergillus, Cludosporium and Penicillium were predominant fungal genera. Metastats analysis showed significant disparity in terms of carbohydrate, amino acids metabolism, human and plant disease predicted by PICRUSt analysis between BB and non-BB events. Microbial community structure were mainly influenced by organic carbon and water-soluble ions (magnesium and potassium) suggested by redundancy analysis (RDA) and co-occurrence analysis. Our data yielded insights into microbial community dynamics following biomass burning disturbance. This study may provide potentially important reference for environmental, agricultural and health management. (C) 2018 Elsevier B.V. All rights reserved.

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