基因组
抗生素耐药性
风险评估
生物
基因型
健康风险评估
表型
计算生物学
传输(电信)
环境卫生
生物技术
基因组学
暴露评估
遗传学
基因组
风险分析(工程)
健康风险
微生物群
精密医学
仿形(计算机编程)
抗药性
抗性(生态学)
数量性状位点
人类健康
生物信息学
作者
Fei Xu,Kai Yang,Olusegun K. Abass,Jian-Qiang Su,Li Cui
标识
DOI:10.1021/acs.est.5c12275
摘要
Foodborne antimicrobial resistance (AMR) poses a significant One Health challenge. However, the risk and transmission of AMR within the meat-environment continuum remain poorly understood. Here, we conducted an integrative AMR surveillance of meats and associated environments from three markets using culture-independent single-cell Raman spectroscopy for phenotypic profiling and metagenomics for genotypic analysis. We found that environments consistently harbored a higher abundance of metabolically active antibiotic-resistant bacteria than meats. By incorporation of phenotypic AMR (abundance and activity of antibiotic-resistant bacteria), genotypic AMR (percentage of high-risk antibiotic resistance genes), and transmission potential, a new risk assessment framework was established. The integrated assessment revealed that environments were critical AMR reservoirs with risk levels higher than or comparable to those in meats, underscoring the necessity of integrating multiple factors for accurate risk assessment. Moreover, source tracking analysis suggested reciprocal cross-contamination between the samples, which was further confirmed by 25 shared metagenome-assembled genomes (MAGs) hosting high-risk ARGs among samples. By bridging phenomic and genomic insights, this work advances precision AMR surveillance and provides a more accurate risk assessment framework, offering critical guidance for mitigating AMR in the environment and the food chain.
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