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我国流域水环境抗生素与耐药基因的赋存及风险

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抗生素作为新污染物,被列入我国"十四五"提出的《重点管控新污染物》名单.流域水环境是抗生素的主要环境归宿,我国主要流域普遍检出了抗生素和耐药基因.因此,如何表征流域水环境抗生素的风险是对抗生素这类新污染物管控的科学前提.本文在综述了我国主要流域水环境抗生素的赋存特征及其造成的细菌耐药广泛传播的生态健康问题的基础上,指出了当前普遍采用的抗生素风险评估方法存在的问题,构建了基于细菌耐药的多指标抗生素风险评估技术框架.最后,提出了通过加强抗生素筛选细菌耐药的基础研究创新来支撑抗生素的风险评估,该研究为我国抗生素新污染物的治理和管控提供了科技支撑.
Antibiotics and antibiotic resistance genes in aquatic environments in China:Occurrences and risks
Antibiotics are recognized as emerging contaminants worldwide.Specifically,China has included antibiotics in its list of emerging contaminants for priority management and control as part of the 14th Five-Year Plan.After being consumed in clinical settings and livestock farming,antibiotics are largely excreted into the environment.Among various environmental media,aquatic environments serve as significant reservoirs for antibiotics due to the influx of both point and non-point source wastewater containing antibiotics,including municipal,pharmaceutical,and livestock wastewater.Consequently,assessing and managing the risks associated with antibiotics in aquatic environments is of utmost importance.This study initially reviews the occurrence of antibiotics in aquatic environments.The findings reveal the pervasive presence of antibiotics in Chinese rivers,with macrolides,tetracyclines,sulfonamides,fluoroquinolones,and β-lactams ranking among the top five antibiotics in terms of abundance and detection frequency.The presence of antibiotics significantly contributes to the persistence,development,and transmission of antibiotic resistance genes(ARGs)in Chinese rivers.Despite the occurrence of antibiotics and ARGs in aquatic environments in China,the risks associated with antibiotics have not been adequately described.Typically,indicators such as Persistence,Bioaccumulation,and Toxicity,collectively known as the P-B-T framework,are commonly used to assess the risk of emerging contaminants,including antibiotics.However,this framework does not align well with antibiotics since they do not conform to the typical profile of Persistent Bioaccumulative Toxic Substances.Consequently,the Predicted No-Effect Concentration(PNEC)for antibiotics usually falls within the range of μg/L to mg/L,which is significantly higher than the typical levels of antibiotic abundance found in aquatic environments(ng/L to μg/L).Thus,there is an urgent need to propose a novel risk assessment method specifically tailored for antibiotics in aquatic environments.Recognizing the critical role of antibiotics in inducing bacterial resistance,we propose a multi-dimensional antibiotic resistance risk assessment framework(MARA)for antibiotics in aquatic environments.In details,at the genetic level,antibiotic selective pressure can lead to genetic mutations,which represents the predominant pathway for the generation of ARGs.At the cellular level,antibiotic selective pressure aids bacterial hosts in retaining plasmids carrying ARGs.At the population and community levels,antibiotic selective pressure promotes horizontal gene transfer,resulting in the acquisition of antibiotic resistance by initially sensitive strains.Furthermore,antibiotic selective pressure assists antibiotic-resistant bacteria in outcompeting antibiotic-sensitive bacteria at the community level,contributing to the development of bacterial resistance.Collectively,dose-response data for antibiotic-induced bacterial resistance at the genetic,cellular,population,and community levels will be acquired,and the PNEC will be established accordingly.Finally,we propose strategies to advance fundamental research innovation,thereby facilitating the practical application of MARA.These strategies encompass advancing dose-response studies on antibiotics that induce bacterial resistance and investigating the impact of antibiotic bioavailability,bacterial growth,and metabolism status on the dose-response relationship.Overall,this study endeavors to offer scientific and technological support for the treatment,management,and control of antibiotics in China.

antibioticrisk assessmentbacterial resistanceantibiotic resistance genes(ARGs)aquatic environments

袁青彬、王娜、郭欣妍、陈则友、王小龙、李文、李曦、雷留生、罗义

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南京大学环境学院,污染控制与资源化国家重点实验室,南京 210023

生态环境部南京环境科学研究所,南京 210042

南开大学环境科学与工程学院,天津 300350

中国环境科学研究院,北京 100012

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抗生素 风险评估 细菌耐药 耐药基因 流域水环境

国家自然科学基金重点项目国家重点研发计划

418312872020YFC1806904

2024

科学通报
中国科学院国家自然科学基金委员会

科学通报

CSTPCD北大核心
影响因子:1.269
ISSN:0023-074X
年,卷(期):2024.69(6)
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