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尾矿库水体环境抗生素抗性基因的分布特征
引用本文:黄福义,朱永官,苏建强. 尾矿库水体环境抗生素抗性基因的分布特征[J]. 环境科学, 2021, 42(2): 761-765
作者姓名:黄福义  朱永官  苏建强
作者单位:中国科学院城市环境研究所城市环境与健康重点实验室,厦门 361021;中国科学院大学,北京 100049;中国科学院城市环境研究所城市环境与健康重点实验室,厦门 361021;中国科学院大学,北京 100049;中国科学院城市环境研究所城市环境与健康重点实验室,厦门 361021;中国科学院大学,北京 100049
基金项目:国家自然科学基金项目(41807460,41977210)
摘    要:抗生素抗性基因是近年来人们普遍关注的新型环境生物污染物,也是科学家们研究的热点.为了探究尾矿库水体环境抗生素抗性基因的污染特征,揭示尾矿库水体环境抗生素抗性基因的影响因素,本文采用超高通量定量PCR 技术(HT-qPCR),研究了某尾矿库的4 个点位的水体抗生素抗性基因的多样性、丰度和驱动机制.结果表明,尾矿库水体环境...

关 键 词:尾矿库  水体环境  金属元素  抗生素抗性基因  驱动机制
收稿时间:2020-08-06
修稿时间:2020-08-18

Diversity and Abundance of Antibiotic Resistance Genes in Tailings Ponds
HUANG Fu-yi,ZHU Yong-guan,SU Jian-qiang. Diversity and Abundance of Antibiotic Resistance Genes in Tailings Ponds[J]. Chinese Journal of Environmental Science, 2021, 42(2): 761-765
Authors:HUANG Fu-yi  ZHU Yong-guan  SU Jian-qiang
Affiliation:Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Antibiotic resistance genes (ARGs) are considered emerging contaminants posing an increasing threat to the ecological environment and global human health. Profiling ARGs in tailings ponds is essential to better understand their spatial and temporal dynamics. In this study, high-throughput quantitative polymerase chain reaction (PCR) techniques were used to investigate the occurrence, diversity, abundance, and distribution of ARGs in a tailings pond. A total of 97, 52, 44, and 56 ARGs were detected in WK0, WK1, WK2, and HS, respectively, with 11, 6, 3, and 6 mobile genetic elements (MGEs) also being detected, respectively. The absolute abundance of ARGs in the pond water ranged from 6.39×107 to 1.75×108 copies·L-1. Additionally, the abundance of MGEs were higher than ARGs in WK1 and WK2, indicating the potential for horizontal gene transfer (HGT). Furthermore, Cu, TOC, and MGEs were significantly associated with ARGs. Indeed, redundancy analysis (RDA) revealed that Cu, TOC, and MGEs explained 61.64% of the alteration of the ARG profiles, implying their potential roles in the spread and evolution of ARGs in tailings ponds.
Keywords:tailings pond  river environment  heavy metals  antibiotic resistance genes  mechanisms
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