Regional antimicrobial resistance gene flow among the One Health sectors in China

抵抗性 生物 基因组 微生物群 抗生素耐药性 流动遗传元素 肠杆菌科 抗菌剂 肺炎克雷伯菌 微生物学 质粒 医学微生物学 细菌 基因 生物技术 大肠杆菌 遗传学
作者
Yuqing Feng,Xin Lu,Jiayong Zhao,Hongmin Li,Jialiang Xu,Zhenpeng Li,Mengyu Wang,Yao Peng,Tian Tian,Gailing Yuan,Yuan Zhang,Jiaqi Liu,Meihong Zhang,A La Teng Zhu La,Geruo Qu,Yujiao Mu,Wanshen Guo,Yongning Wu,Yuyu Zhang,Dexiang Wang
出处
期刊:Microbiome [BioMed Central]
卷期号:13 (1) 被引量:1
标识
DOI:10.1186/s40168-024-01983-x
摘要

Antimicrobial resistance poses a significant threat to global health, with its spread intricately linked across human, animal, and environmental sectors. Revealing the antimicrobial resistance gene (ARG) flow among the One Health sectors is essential for better control of antimicrobial resistance. In this study, we investigated regional ARG transmission among humans, food, and the environment in Dengfeng, Henan Province, China by combining large-scale metagenomic sequencing with culturing of resistant bacterial isolates in 592 samples. A total of 40 ARG types and 743 ARG subtypes were identified, with a predominance of multidrug resistance genes. Compared with microbes from human fecal samples, those from food and environmental samples showed a significantly higher load of ARGs. We revealed that dietary habits and occupational exposure significantly affect ARG abundance. Pseudomonadota, particularly Enterobacteriaceae, were identified as the main ARG carriers shaping the resistome. The resistome in food samples was found more affected by mobile genetic elements (MGEs), whereas in environmental samples, it was more associated with the microbial composition. We evidenced that horizontal gene transfer (HGT) mediated by plasmids and phages, together with strain transmission, particularly those associated with the Enterobacteriaceae members, drive regional ARG flow. Lifestyle, dietary habits, and occupational exposure are all correlated with ARG dissemination and flies and food are important potential sources of ARGs to humans. The widespread mobile carbapenemase gene, OXA-347, carried by non-Enterobacteriaceae bacteria in the human gut microbiota, requires particular attention. Finally, we showed that machine learning models based on microbiome profiles were effective in predicting the presence of carbapenem-resistant strains, suggesting a valuable approach for AMR surveillance. Our study provides a full picture of regional ARG transmission among the One Health sectors in a county-level city in China, which facilitates a better understanding of the complex routes of ARG transmission and highlights new points of focus for AMR surveillance and control.
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