Literature DB >> 32062341

Characteristics and interactions of bioaerosol microorganisms from wastewater treatment plants.

Yunping Han1, Tang Yang2, Guangsu Xu3, Lin Li4, Junxin Liu5.   

Abstract

Bacteria and fungi are abundant and ubiquitous in bioaerosols from wastewater treatment plants (WWTPs). However, the specificity and interactions of bioaerosol microorganism, particularly of potential pathogens, from WWTPs are still poorly understood. In this study, we investigated 9 full-scale WWTPs in different areas of China for 3 years, and found microbial variations in bioaerosols to be associated with regions, seasons, and processes. Relative humidity, total suspended particulates, wind speed, temperature, total organic carbon, NH4+, Cl- and Ca2+ were the major factors influencing this variation, and meteorological factors were more strongly associated with the variation than chemical composition. In total, 95 and 22 potential bacterial and fungal pathogens were detected in bioaerosols, respectively. The linear discriminant analysis effect size method suggested that Serratia, Yersinia, Klebsiella, and Bacillus were discriminative genera in bioaerosols on the whole, and were also hub niches in the interactions within potential bacterial pathogens, based on network analysis. Strong co-occurrences such as Serratia-Bacillus and Staphylococcus-Candida, and co-exclusions such as Rhodotorula-Cladosporium and Pseudomonas-Candida, were found within and between potential bacterial and fungal pathogens in bioaerosols from WWTPs. This study furthers understanding of the biology and ecology of bioaerosols from WWTPs, and offers a theoretical basis for determining bioaerosol control.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioaerosol; Discriminative taxa; Interaction; Potential pathogen; Wastewater treatment plant

Mesh:

Substances:

Year:  2020        PMID: 32062341     DOI: 10.1016/j.jhazmat.2020.122256

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


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