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.
作者
苏志国
陈吕军
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)
出处
《微生物学通报》
CAS
CSCD
北大核心
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。
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
antibiotic resistance genes(ARGs)
resistome
metagenomics
bioinformatics
risk assessment
