环境耐药组及其健康风险的宏基因组学研究策略和方法

Metagenomic strategies and methods for studying environmental resistome and its health risk

摘要:

抗生素耐药性在环境中的发展和传播对人体健康造成潜在风险。随着高通量测序技术和生物信息学方法的不断发展，宏基因组学技术被广泛应用于不同环境样本的抗生素耐药组研究。本文介绍了两种针对环境耐药组筛查的宏基因组学分析方法，总结了当前主流的生物信息学软件和数据库，并阐述了环境耐药组的风险评估框架和基于宏基因组学技术的相关实践，以期为环境耐药组的监测、风险评估和管控提供可行的路线图。

关键词:抗生素抗性基因;耐药组;宏基因组;生物信息;风险评估

Abstract:

The development and spread of antibiotic resistance in the environment pose potential risks to human health. With the advances in high-throughput sequencing and bioinformatics, metagenomics has been widely used in the study of antibiotic resistomes in different environmental samples. This paper introduces two metagenomic methods for environmental resistome screening, summarizes the current mainstream bioinformatic tools and databases, and describes the risk assessment framework of environmental resistome and the related practice based on metagenomic technology. We aim to provide a feasible roadmap for the monitoring, risk assessment, and control of environmental resistome.

Key words:antibiotic resistance genes (ARGs);resistome;metagenomics;bioinformatics;risk assessment