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

作　　者：苏志国 陈吕军[1,3] 温东辉 SU Zhiguo;CHEN Lüjun;WEN Donghui(School of Environment,Tsinghua University,Beijing 100084,China;College of Environmental Sciences and Engineering,Peking University,Beijing 100871,China;Zhejiang Provincial Key Laboratory of Water Science and Technology,Department of Environment in Yangtze Delta Region Institute of Tsinghua University,Jiaxing 314006,Zhejiang,China)

机构地区：[1]清华大学环境学院,北京100084 [2]北京大学环境科学与工程学院,北京100871 [3]浙江清华长三角研究院生态环境研究所、浙江省水质科学与技术重点实验室,浙江嘉兴314006

出　　处：《微生物学通报》2023年第4期1538-1558,共21页Microbiology China

基　　金：国家自然科学基金(52170185,51938001,52070111);中国博士后科学基金(2022M721815);清华大学“水木学者”计划。

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。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.

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 

分 类 号：X505[环境科学与工程—环境工程] X820.4