Graphene Oxide-Based Simple and Rapid Detection of Antibiotic Resistance Gene via Quantum Dot-Labeled Zinc Finger Proteins

2021 ◽  
Author(s):  
Dat Thinh Ha ◽  
Van-Thuan Nguyen ◽  
Moon-Soo Kim
Keyword(s):  
Antibiotic Resistance ◽  
Graphene Oxide ◽  
Quantum Dot ◽  
Resistance Gene ◽  
Zinc Finger ◽  
Rapid Detection ◽  
Antibiotic Resistance Gene ◽  
Zinc Finger Proteins

Graphene Oxide Inhibits Antibiotic Uptake and Antibiotic Resistance Gene Propagation

2016 ◽  
Vol 8 (48) ◽  
pp. 33165-33174 ◽  
Author(s):  
Wei Zou ◽  
Xiaokang Li ◽  
Ziyang Lai ◽  
Xingli Zhang ◽  
Xiangang Hu ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Graphene Oxide ◽  
Resistance Gene ◽  
Antibiotic Resistance Gene

scholarly journals Metagenomics Analysis Reveals the Microbial Communities, Antimicrobial Resistance Gene Diversity and Potential Pathogen Transmission Risk of Two Different Landfills in China

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 230
Author(s):  
Shan Wan ◽  
Min Xia ◽  
Jie Tao ◽  
Yanjun Pang ◽  
Fugen Yu ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Microbial Communities ◽  
Resistance Gene ◽  
Resistance Genes ◽  
Gene Diversity ◽  
Antibiotic Resistance Gene ◽  
Antibiotic Resistance Genes ◽  
Pathogen Transmission ◽  
Transmission Risk ◽  
Antimicrobial Resistance Gene

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.

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