Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences

International Journal of Environmental Research and Public Health
Yaying LiHuaiying Yao

Abstract

High-throughput quantitative PCR combined with Illumina sequencing and network analysis were used to characterize the antibiotic resistance gene (ARG) profiles in air-conditioning filters from different environments. In total, 177 ARGs comprising 10 ARG types were determined. The detectable numbers and the relative abundance of ARGs in hospitals and farms were significantly higher than those in city and village residences. Compared to hospitals, farms had a higher level of tetracycline, multidrug, integrase, and macrolide⁻lincosamide⁻streptogramin (MLS) B resistance genes but a lower level of beta-lactam resistance genes. The bl3_cpha gene was the most abundant resistance gene subtype in hospital samples with an abundance of 2.01 × 10-4 copies/16S rRNA, while a level of only 5.08 × 10-12 copies/16S rRNA was observed in farm samples. There was no significant difference in bacterial diversity among the hospitals, farms, and residences, and Proteobacteria was the most abundant phylum. Network analysis revealed that Proteobacteria and Actinobacteria were possible hosts of the beta-lactam, MLSB, aminoglycoside, multidrug, sulfonamide, and tetracycline resistance genes. The results demonstrate that ARGs exist in indoor environments a...Continue Reading

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Citations

Jun 16, 2019·Animals : an Open Access Journal From MDPI·Cuncheng LiuHuaiying Yao
Aug 2, 2020·Environment International·Roosmarijn E C LuikenUNKNOWN EFFORT-group
Jul 3, 2021·Tropical Medicine and Infectious Disease·Godfred Saviour Kudjo AzagloAnthony D Harries
Jan 13, 2022·The Science of the Total Environment·Sen LiGuanghua Wang

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Datasets Mentioned

BETA
SRP158950

Methods Mentioned

BETA
PCR
Illumina sequencing
electrophoresis
smart-chip
PCA

Software Mentioned

Gephi
Quantitative Insights into Microbial Ecology ( QIIME
SPSS
Excel
R
psych
pheatmap
SmartChip qPCR

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