Distribution of the microbial community and antibiotic resistance genes in farmland surrounding gold tailings: A metagenomics approach.

Distribution of the microbial community and antibiotic resistance genes in farmland surrounding gold tailings: A metagenomics approach.
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DOI:
10.1016/j.scitotenv.2021.146502
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发表时间:
2021-03
期刊:
The Science of the total environment
影响因子:
--
通讯作者:
L. Qiao;Xiaoxia Liu;Shuo Zhang;Luying Zhang;Xianhong Li;Xuesong Hu;Qiancheng Zhao;Qingyu Wang;Caihong Yu
L. Qiao;Xiaoxia Liu;Shuo Zhang;Luying Zhang;Xianhong Li;Xuesong Hu;Qiancheng Zhao;Qingyu Wang;Caihong Yu
中科院分区:
其他
文献类型:
--
作者:
L. Qiao;Xiaoxia Liu;Shuo Zhang;Luying Zhang;Xianhong Li;Xuesong Hu;Qiancheng Zhao;Qingyu Wang;Caihong Yu

文献摘要

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金属开采造成废弃矿山的废尾矿堆积。金属尾矿库周边农田的重金属污染是一个长期存在的问题。然而,抗生素耐药基因(ARGs)在尾矿中的分布和影响这种分布的主要因素很少有报道。本研究采用宏基因组学方法对我国北方某金矿尾矿库周边农田微生物群落和ARGs进行了研究。结果表明,金矿尾矿库周边农田中的主要污染物为As、Pb和Cd,变形菌和放线菌是金矿尾矿库周边农田中微生物的优势类群。在土壤样品中共检测到75种ARG,包括327种ARG亚型。大环内酯类、林可酰胺类和链阳性菌素B类耐药基因在本研究中占大多数,放线菌、变形菌和酸杆菌是大多数ARG的宿主。偏最小二乘路径模型显示,微生物群落是调节尾矿库附近土壤ARGs分布的最有影响力的驱动因素,重金属对这些ARGs有直接和部分间接的影响。与先前的ARG分析相反,我们的研究发现,移动的基因元件对ARG的影响最小。总体而言,这项研究提出了一个完整的ARG调查,揭示了重金属污染下的ARG在金矿尾矿周围农田的分布和命运。
Metal mining has caused the accumulation of waste mine tailing dumps from abandoned mines. The pollution of farmlands surrounding metal tailings by heavy metals has been a long-recognized problem. However, the distribution of antibiotic resistance genes (ARGs) in tailings and the main factors influencing this distribution have rarely been reported. In this study, a metagenomics approach was used to investigate the microbial community and ARGs present in farmland surrounding gold tailings in northern China. The results showed that the main pollutants in the farmland were As, Pb, and Cd.ProteobacteriaandActinobacteriawere the dominant phyla of microbes in farmlands surrounding gold tailings. A total of 75 ARGs with 327 ARG subtypes were detected in soil samples. Macrolide-, lincosaminide-, and streptogramin B resistant genes accounted for the majority of ARGs in this study, andActinobacteria,Proteobacteria, andAcidobacteriawere the hosts of most ARGs. Partial least squares path modeling revealed that the microbial community was the most influential driver moderating the distribution of soil ARGs near tailings, and heavy metals have direct and partially indirect effects on these ARGs. In contrast to previous analyses of ARGs, our study found that mobile gene elements had a minimal impact on ARGs. Overall, this study presents a complete ARG survey that sheds light on the distribution and fate of ARGs under heavy metal contamination in farmland around gold tailings.