High-Throughput Profiling of the Antibiotic Resistance Gene Transmission in Aquaculture Systems

2021 ◽  
Author(s):  
Benjamin Makimilua Tiimub ◽  
Zhen-Chao Zhou ◽  
Ling-Xuan Meng ◽  
Yu-Jie Sun ◽  
Ze-Jun Lin ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Gene ◽  
High Throughput ◽  
Antibiotic Resistance Gene

High-throughput profiling of antibiotic resistance gene dynamic in a drinking water river-reservoir system

2019 ◽  
Vol 149 ◽  
pp. 179-189 ◽  
Author(s):  
Yihan Chen ◽  
Jian-Qiang Su ◽  
Junya Zhang ◽  
Peng Li ◽  
Hongjie Chen ◽  
...  
Keyword(s):  
Drinking Water ◽  
Antibiotic Resistance ◽  
Resistance Gene ◽  
High Throughput ◽  
Antibiotic Resistance Gene ◽  
Reservoir System ◽  
River Reservoir

High-throughput profiling of seasonal variations of antibiotic resistance gene transport in a peri-urban river

2018 ◽  
Vol 114 ◽  
pp. 87-94 ◽  
Author(s):  
Ji Zheng ◽  
Zhenchao Zhou ◽  
Yuanyuan Wei ◽  
Tao Chen ◽  
Wanqiu Feng ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Gene ◽  
High Throughput ◽  
Seasonal Variations ◽  
Antibiotic Resistance Gene ◽  
Urban River

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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