Biogeography and diversity patterns of antibiotic resistome in the sediments of global lakes

被引:13
|
作者
Liu, Chang [1 ]
Chen, Jinping [1 ]
Yang, Yuyi [2 ]
Teng, Yanguo [1 ,3 ]
Chen, Haiyang [1 ,3 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, Key Lab Aquat Bot & Watershed Ecol, Wuhan Bot Garden, Wuhan 430074, Peoples R China
[3] Minist Educ, Engn Res Ctr Groundwater Pollut Control & Remedia, Beijing 100875, Peoples R China
来源
基金
北京市自然科学基金;
关键词
Antibioticresistancegenes; Biogeographypattern; Resistomediversity; Ecologicalprocesses; Metagenomicassembly-based; analysis; RESISTANCE GENES; ASSEMBLY PROCESSES; ABUNDANCE; TRENDS; TAI;
D O I
10.1016/j.jes.2022.06.024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Lakes act as one of the reservoirs and dispersal routes of antibiotic resistance genes (ARGs) and pathogenic resistant bacteria in aquatic environments. Previous studies reported the occurrence and distribution of ARGs in lakes worldwide; however, few investigated the bio-geography and diversity patterns of antibiotic resistome in the environment. To fill this gap, a large-scale data set of sediment metagenomes was collected from globally distributed lakes and characterized comprehensively using metagenomic assembly-based analysis, aiming to shed light on the biogeography and diversity patterns of ARGs in lake ecosys-tems from a global perspective. Our analyses showed that abundant and diverse ARGs were found in the global lake sediments, including a set of emerging ARGs such as mcr-type and carbapenem-resistant Enterobacteriaceae related genes. Most of the identified ARGs were generally associated with the commonly used antibiotics, suggesting the role of increasing antibiotic consumptions on the resistome prevalence. Spatially, the composition and diver-sity of ARGs varied across geographical distances and exhibited a scale-dependent distance -decay relationship. Notably, the composition of ARGs was largely shaped by bacterial com-munity structure, and their diversities were co-governed by stochastic process ( <^>-48%) and deterministic process ( <^>-52%). Findings provide a valuable insight to better understand eco-logical mechanisms of ARGs in lake ecosystems and have important implication for the prevention and control of resistome risk. (c) 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
引用
收藏
页码:421 / 430
页数:10
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