scholarly journals Aerosol antibiotic resistance gene dissemination among hospital departments by culture-facilitated comparative metagenomics

2020 ◽  
Author(s):  
Xiang Li ◽  
Ziqi Wu ◽  
Chenyuan Dang ◽  
Miao Zhang ◽  
Bixi Zhao ◽  
...  

Abstract Background: Genes make microorganisms resistant to antibiotics are overwhelmingly present in environments, and those in the air seem to consistently worsen human health, especially in built-in hospitals. In this study, we sampled two distinct seasonal solid-, liquid- and gaseous-state samples in a large occupied hospital, and mainly aim to study the temporal and spatial micro-ecology and antibiotic resistance gene (ARG) distribution patterns within hospital settings using culture-facilitated comparative metagenomics in combinations with other widely applied methods. Results: Hospital aerosol resistome showed concentration of 0.00042 copies per 16S rRNA gene which was comparable to that of drinking water (0.00024 copies/16S rRNA). Winter aerosols showed higher resistome concentration and exhibited similar distribution patterns among different departments; while evident microbial accumulation and stronger level of inter-species ARG exchange was observed in summer aerosol samples. Network analysis and cultural isolate whole genome sequencing results confirmed some of these exchanges were mediated via plasmids. Additionally, ARGs and microbial community source tracking results illustrated Outpatient hall could serve as a major resistome pollution source all year long. Conclusions: The state-of-art metagenomics analyses and culture facilitated sequencing with strict cutoff guarantee the result accuracy of resistome pattern observed in built-in hospital environment, and our novel genotype sharing network confirmed the plasmid-mediated transferring mechanism in hospital air for the first time. Overall, this study illustrated valuable and quality hospital aerosol dissemination patterns and our effort will encourage more metagenomics applications in hospital studies.

Author(s):  
Yaying Li ◽  
Hongkai Liao ◽  
Huaiying Yao

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 and that farms and hospitals are important sources. This study provides a useful reference for understanding the distribution patterns and risk management of ARGs in indoor environments.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johanna Muurinen ◽  
Jacob Richert ◽  
Carmen L. Wickware ◽  
Brian Richert ◽  
Timothy A. Johnson

AbstractEven though the use of antibiotics for food-producing animals may contribute to the emergence of antimicrobial resistance, antibiotics are still used as growth promoters. Due to consumer and regulatory pressures, the use of alternatives to antibiotics as growth promoters is increasing, thus more information is needed on their capability to disseminate antimicrobial resistance compared to antibiotics. We investigated the impacts of carbadox (antibiotic), copper sulfate and zinc oxide (metals) and mushroom powder (natural product) on the pig fecal resistome and microbiome. Antibiotic resistance gene (ARG) and mobile genetic element (MGE) abundances were measured using a high-throughput qPCR array with 382 primer pairs. Bacterial community composition was determined by 16S rRNA gene sequencing. More ARGs co-occurred with MGEs in the growth promoter group samples than in the control group samples. Community composition could not be linked to resistome in the growth promoter group samples, indicating a potential decoupling of ARGs and phylogeny. Additionally, machine-learning methods aided in defining the community and resistome differences in response to treatments. Since increased ARG mobility potential was the primary response to the dietary additives used in this study, we suggest that ARG mobility should be considered when designing antimicrobial use policies and antimicrobial resistance surveillances.


2020 ◽  
Author(s):  
Johanna Muurinen ◽  
Jacob Richert ◽  
Carmen Wickware ◽  
Brian Richert ◽  
Timothy A. Johnson

AbstractEven though the use of antibiotics for food-producing animals may contribute to the emergence of antimicrobial resistance, antibiotics are still used as growth promoters. Due to consumer and regulatory pressures, the use of alternatives to antibiotics as growth promoters is increasing, thus more information is needed on their capability to disseminate antimicrobial resistance compared to antibiotics. We investigated the impacts of carbadox (antibiotic), copper sulfate and zinc oxide (metals) and mushroom powder (natural product) on the pig fecal resistome and microbiome. Antibiotic resistance gene (ARG) and mobile genetic element (MGE) abundances were measured using a high-throughput qPCR array with 382 primer pairs. Bacterial community composition was determined by 16S rRNA gene sequencing. More ARGs co-occurred with MGEs in the growth promoter group samples than in the control group samples. Community composition could not be linked to resistome in the growth promoter group samples, indicating a potential decoupling of ARGs and phylogeny. Additionally, machine-learning methods aided in defining the community and resistome differences in response to treatments. Since increased ARG mobility potential was the primary response to the dietary additives used in this study, we suggest that ARG mobility should be considered when designing antimicrobial use policies and antimicrobial resistance surveillances.


Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 230
Author(s):  
Shan Wan ◽  
Min Xia ◽  
Jie Tao ◽  
Yanjun Pang ◽  
Fugen Yu ◽  
...  

In this study, we used a metagenomic approach to analyze microbial communities, antibiotic resistance gene diversity, and human pathogenic bacterium composition in two typical landfills in China. Results showed that the phyla Proteobacteria, Bacteroidetes, and Actinobacteria were predominant in the two landfills, and archaea and fungi were also detected. The genera Methanoculleus, Lysobacter, and Pseudomonas were predominantly present in all samples. sul2, sul1, tetX, and adeF were the four most abundant antibiotic resistance genes. Sixty-nine bacterial pathogens were identified from the two landfills, with Klebsiella pneumoniae, Bordetella pertussis, Pseudomonas aeruginosa, and Bacillus cereus as the major pathogenic microorganisms, indicating the existence of potential environmental risk in landfills. In addition, KEGG pathway analysis indicated the presence of antibiotic resistance genes typically associated with human antibiotic resistance bacterial strains. These results provide insights into the risk of pathogens in landfills, which is important for controlling the potential secondary transmission of pathogens and reducing workers’ health risk during landfill excavation.


Sign in / Sign up

Export Citation Format

Share Document