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Exploring the disparity of inhalable bacterial communities and antibiotic resistance genes between hazy days and non-hazy days in a cold megacity in Northeast China

  • Xiazhong Sun
  • , Dongmei Li
  • , Bo Li
  • , Shaojing Sun
  • , Stephen Dauda Yabo
  • , Jialu Geng
  • , Lixin Ma
  • , Hong Qi*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Environment, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The physicochemical properties of inhalable particles during hazy days have been extensively studied, but their biological health threats have not been well-explored. This study aimed to explore the impacts of haze pollution on airborne bacteria and antibiotic-resistance genes (ARGs) by conducting a comparative study of the bacterial community structure and functions, pathogenic compositions, and ARGs between hazy days and non-hazy days in a cold megacity in Northeast China. The results suggested that bacterial communities were shaped by local weather and customs. In this study, cold-resistant and Chinese sauerkraut-related bacterial compositions were identified as predominant genera. In the comparative analysis, higher proportions of gram-negative bacteria and pathogens were detected on hazy days than on non-hazy days. Pollutants on hazy days provided more nutrients (sulfate, nitrate and ammonium) for bacterial metabolism but also caused more bacterial cell damage and death than on non-hazy days. This study also detected increases in the sub-types and average absolute abundance of airborne resistance genes on hazy days compared to non-hazy days. The results of this study revealed that particle pollution promotes the dissemination and exchange of pathogenic bacteria and ARGs among large urban populations, which leads to a higher potential for human inhalation exposure.

Original languageEnglish
Article number122984
JournalJournal of Hazardous Materials
Volume398
DOIs
StatePublished - 5 Nov 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • 16S rRNA amplicon sequencing
  • Bioaerosols
  • Pathogenic bacterial
  • Redundancy analysis
  • qPCR

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