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
Copyright © 2020 Elsevier B.V. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:398 |
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| Enthalten in: |
Journal of hazardous materials - 398(2020) vom: 05. Nov., Seite 122984 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Sun, Xiazhong [VerfasserIn] |
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| Links: |
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| Themen: |
16S rRNA amplicon sequencing |
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| Anmerkungen: |
Date Completed 14.05.2021 Date Revised 14.05.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jhazmat.2020.122984 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM31091924X |
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| 245 | 1 | 0 | |a 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 |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier B.V. All rights reserved. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a 16S rRNA amplicon sequencing | |
| 650 | 4 | |a Bioaerosols | |
| 650 | 4 | |a Pathogenic bacterial | |
| 650 | 4 | |a Redundancy analysis | |
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| 700 | 1 | |a Li, Bo |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Shaojing |e verfasserin |4 aut | |
| 700 | 1 | |a Yabo, Stephen Dauda |e verfasserin |4 aut | |
| 700 | 1 | |a Geng, Jialu |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Lixin |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Hong |e verfasserin |4 aut | |
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