微塑料
四环素
污染
环境化学
放线菌门
微生物种群生物学
土壤水分
土壤污染
蛋白质细菌
化学
微生物学
抗生素
生物
细菌
生态学
遗传学
16S核糖体RNA
作者
Haobo Ya,Tian Zhang,Yi Xing,Mingjie Lv,Xin Wang,Bo Jiang
出处
期刊:Chemosphere
[Elsevier]
日期:2023-09-01
卷期号:335: 139082-139082
被引量:6
标识
DOI:10.1016/j.chemosphere.2023.139082
摘要
Microplastics are plastic particles with particle size less than 5 mm in the environment. As an emerging organic pollutant, the presence of microplastics in the soil environment has been widely noticed. Also, due to the overuse of antibiotics, a large amount of antibiotics that cannot be fully absorbed by humans and livestock enter the soil environment in the form of urine or manure, making the soils suffer from serious antibiotic contamination problems. To address the environmental problems of microplastics and antibiotic contamination in soils, this study was conducted to investigate the effects of PE microplastics on antibiotic degradation, microbial community characteristics and ARGs in tetracycline-contaminated soils. The results showed that the addition of PE microplastics inhibited the degradation of tetracycline, and significantly increased the organic carbon content and decreased the neutral phosphatase activity. The addition of PE microplastics significantly reduced the alpha diversity of soil microbial community. Compared to the single tetracycline contamination. In addition, combined contamination with PE microplastics and tetracycline significantly affected bacterial genera such as Aeromicrobium, Rhodococcus, Mycobacterium and Intrasporangium. Metagenome sequencing studies revealed that the addition of PE microplastics inhibited the dissipation of ARGs in tetracycline-contaminated soils. There were strong positive correlations between Multidrug, Aminoglycoside and Clycopeptide resistance genes and Chloroflexi and Proteobacteria in tetracycline contaminated soils, and there was a strong positive correlation between Aminoglycoside resistance genes and Actinobacteria in combined contamination of PE microplastics and tetracycline. This study will provide some data support for the current environmental risk assessment of the coexistence of multiple contaminants in soil.
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