海南东寨港海水和沉积物中抗生素抗性基因污染特征研究
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  • 英文篇名:Pollution Characteristics of Antibiotic Resistance Genes in Seawater and Sediment of Dongzhai Harbor, Hainan Province
  • 作者:姜春霞 ; 黎平 ; 李森楠 ; 刁晓平 ; 黄炜 ; 王道儒 ; 叶翠杏
  • 英文作者:JIANG Chunxia;LI Ping;LI Sennan;DIAO Xiaoping;HUANG Wei;WANG Daoru;YE Cuixing;State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University;Institute of Tropical Agriculture and Forestry, Hainan University;Key Laboratory of Tropical Island Ecology, Ministry of Education;Hainan Academy of Ocean and Fisheries Sciences;
  • 关键词:沉积物 ; 海水 ; 抗生素残留 ; 抗生素抗性基因 ; 东寨港
  • 英文关键词:sediment;;seawater;;antibiotic residue;;antibiotic resistance genes;;Dongzhai Harbor
  • 中文刊名:TRYJ
  • 英文刊名:Ecology and Environmental Sciences
  • 机构:海南大学热带农林学院;海南大学南海海洋资源利用国家重点实验室;热带岛屿生态学教育部重点实验室;海南省海洋与渔业科学院;
  • 出版日期:2019-01-18
  • 出版单位:生态环境学报
  • 年:2019
  • 期:v.28
  • 基金:海南省重点研发项目(ZDYF2018122);; 海口市应用技术研究与开发经费专项项目(2017052);; 海洋资源调查与生态保护项目(YK99977)
  • 语种:中文;
  • 页:TRYJ201901015
  • 页数:8
  • CN:01
  • ISSN:44-1661/X
  • 分类号:132-139
摘要
抗生素滥用及其诱导产生的抗生素抗性基因(Antibioticresistancegenes,ARGs)污染已经引起各界的广泛关注。东寨港是海南省重要的滩涂养殖基地,其ARGs的产生、传播和富集都可能对人类及生态健康产生危害。采集该区域海水和沉积物样本各10个,利用LC-MS/MS对海水和沉积物中磺胺类、四环素类、氯霉素类和喹诺酮类等4类15种抗生素进行测定,同时采用RT-PCR阐明了相应的12种ARGs(sul1、sul2、dfr A1;tet A、tet C、tet G、tet M;cata1、cata2、cmle1、cmle3;qnr S)及16S rRNA的分布特征,并对抗生素和ARGs的相关性进行分析。结果显示,所测ARGs在各沉积物样品中的检出率均为100%,海水样品中ARGs的检出率在80%-100%之间。其中,qnr S的检出率最高,存在于所有海水和沉积物样品中,而sul2的检出丰度最高。比较海水和沉积物中ARGs的相对丰度,发现沉积物中ARGs的污染程度高于海水。样品中抗生素总体检出率较低,其中沉积物仅有喹诺酮及磺胺类抗生素被检出,海水中除磺胺类抗生素外其他均未检出。与其他研究相比,该区域ARGs检出水平较高,而抗生素检出水平较低,ARGs含量与抗生素浓度相关性较弱(P>0.05),这说明由历史背景诱导产生的ARGs可进行自我扩增而持续存在于环境中。该研究结果可为当地抗生素的安全使用和ARGs的环境风险评价提供重要依据。
        The abuse of antibiotics and the contamination of antibiotic resistance genes(ARGs) induced by antibiotics have attracted extensive attentions. Dongzhai Harbor, as an important tidal flat aquaculture base in Hainan Province, the presence, spreading and accumulating of ARGs may pose potential public health risks on human and environments. In this study, we collected 10 sediment samples and 10 seawater samples from Dongzhai Harbor and quantified 15 kinds of antibiotic belonging to 4 common classes, which were sulfonamides, tetracyclines, chloramphenicol and quinolones using LC-MS/MS. Meanwhile, we also analyzed the distribution patterns of corresponding 12 ARGs(sul1, sul2, dfrA1; tetA, tetC, tetG, tetM; cata1, cata2, cmle1, cmle3; qnrS) as well as the 16S rRNA elucidating by RT-PCR. The correlations between these ARGs and antibiotics were additionally analyzed. The results showed that in sediment samples, the detection rate of measured ARGs was 100%, while in seawater samples, the detection rate of single ARG was varied from 80% to 100%. Among these 12 ARGs, qnrS existed in all the samples with highest detection rate, while sul2 had highest abundance. A comparative analysis of the relative abundance of ARGs in sediments and seawater revealed that the sediment was affected more by ARGs than seawater. The overall detection rate of antibiotics in the samples was low, with only two types of antibiotics(quinolones and sulfa) detected in the sediments, and one(sulfa antibiotics) in the seawater. The correlations between antibiotics(low concentration) and ARGs(high abundance) in the samples were weak(P>0.05), which indicated that ARGs generated before could persist in the environment, likely caused by self-amplification ability of ARGs. The results of this study will provide information and insight for understanding the safe use of antibiotics, as well as environmental risk assessment of ARGs,which should be useful for their management.
引文
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