D-Ring Modifications of Tetracyclines Determine Their Ability to Induce Resistance Genes in the Environment.
Huiming TangZishu LiuBaolan HuLi-Zhong ZhuPublished in: Environmental science & technology (2023)
The widespread utilization of tetracyclines (TCs) in agriculture and medicine has led to the borderless spread of tetracycline resistance in humans, animals, and the environment, posing huge risks to both the ecosystem and human society. Changes in the functional group modifications resulted in a higher bacteriostatic efficacy of the new generation of TCs, but their effect on the emergence and evolution of antibiotic resistance genes (ARGs) is not yet known. To this end, four TCs from three generations were chosen to compare their structural effects on influencing the evolution of ARGs in soil microbial communities. The findings revealed that low-generation TCs, such as tetracycline and oxytetracycline, exhibited a greater propensity to stimulate the production and proliferation of ARGs than did high-generation tigecycline. Molecular docking analysis demonstrated that modifications of the D-ring functional group determined the binding capacity of TCs to the substrate-binding pocket of transcriptional regulators and efflux pumps mainly involved in drug resistance. This can be further evidenced by reverse transcription-quantitative polymerase chain reaction quantification and intracellular antibiotic accumulation assessment. This study sheds light on the mechanism of the structural effect of antibiotic-induced ARG production from the perspective of compound-protein binding, therefore providing theoretical support for controlling the dissemination of antibiotic resistance.
Keyphrases
- antibiotic resistance genes
- molecular docking
- microbial community
- wastewater treatment
- anaerobic digestion
- transcription factor
- climate change
- binding protein
- dna binding
- endothelial cells
- molecular dynamics simulations
- human health
- signaling pathway
- gene expression
- genome wide
- escherichia coli
- induced pluripotent stem cells
- cystic fibrosis
- pseudomonas aeruginosa
- dna methylation
- mass spectrometry
- stress induced
- data analysis
- genome wide analysis