Literature DB >> 32041021

Airborne antibiotic resistance genes in Hong Kong kindergartens.

Na Li1, Yemao Chai1, Guang-Guo Ying2, Kevin C Jones3, Wen-Jing Deng4.   

Abstract

Antibiotic resistance genes (ARGs) and antibiotic resistant bacteria (ARB) have become a critical global public health issue in this century. There is increasing evidence for the presence and transmission of ARGs by air transmission. In this research, ARGs and ARB in air conditioner filter dust (AC dust) and urine samples from 55 kindergarten children in 17 kindergartens and nearby 10 soil samples in Hong Kong were analyzed. The results showed the presence of 16 ARG subtypes and the mobile genetic element (MGE) intI1 in AC dust, and 12 ARG subtypes in the soil samples. ARGs presenting resistance to sulfonamide (6.9 × 10-3-0.17) (expressed as relative abundance of the 16 S rRNA genes) were most abundant followed by macrolides (1.8 × 10-3-3.3 × 10-2), sul1, sul2 (sulfonamide), ermF (macrolides) and intI1 genes in AC dust in 17 kindergartens. For soil samples, 12 ARG subtypes and the intI1 were detected, and the genes providing resistance to sulfonamide (1.6 × 10-3-2.7 × 10-1) were the most abundant ARGs in the 10 soil samples, followed by tetracycline (ND-1.4 × 10-2). Multi-resistant bacteria with sul1, sul2, intI1, or tetQ were detected in all AC dust samples and some urine samples. Based on bacterial genera and ARG co-occurrence network analysis and Hong Kong's special geographical location and cultural environment, there might be two origins for the ARGs detected in the kindergartens: β-lactam/macrolide ARGs mainly derived from human medicine use and tetracycline/sulfonamide ARGs mainly from other areas, as well as IntI1 may play a role in the spread of ARGs in Hong Kong. The widely detection of ARGs in AC dust in kindergartens in Hong Kong highlights the need for the improvement of management measures.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Keywords:  Indoor air pollution; Multi-resistant bacteria; Network analysis; Soil; Urine

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Year:  2020        PMID: 32041021     DOI: 10.1016/j.envpol.2020.114009

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Global Meta-analysis of Airborne Bacterial Communities and Associations with Anthropogenic Activities.

Authors:  Xiaoqing Jiang; Chunhui Wang; Jinyuan Guo; Jiaheng Hou; Xiao Guo; Haoyu Zhang; Jie Tan; Mo Li; Xin Li; Huaiqiu Zhu
Journal:  Environ Sci Technol       Date:  2022-07-04       Impact factor: 11.357

  1 in total

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