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纳污河流抗性基因和微生物群落相关性
Correlation between resistance genes and microbial community in polluted rivers
【摘要】 通过Miseq高通量测序分析和荧光定量PCR技术,研究某纳污河流中四环素类与磺胺类抗性基因(ARGs)的分布特征、传播情况及微生物群落结构相关性.结果表明:在河流地表水与沉积物中均检测到四环素类抗性基因tetA和tetB与磺胺类抗性基因sul1和sul2,四环素类抗性基因和磺胺类抗性基因的绝对丰度分别为5.09×10~3~1.26×10~7,3.94×10~5~1.32×10~9copics/L,磺胺sul1抗生素抗性基因丰度显著高于其它基因;河流主要优势菌门为Proteobacteria,Bacteroidetes,Firmicutes,Actinobacteria和Cyanobacteria,其平均总相对丰度占总比例的95.62%,且总体差异较小.抗性基因与微生物群落冗余分析显示, Methylotenera菌属是影响tetA抗性基因分布丰度的主要因素, Dechloromonas和Clostridium sensu stricto 1菌属是影响tetB抗性基因分布丰度的主要因素,Dechloromonas、Clostridium sensu stricto 1和Methylotenera菌属是影响sul1、sul2抗性基因分布丰度的主要因素.
【Abstract】 The correlation of distribution characteristics, regulations of propagation of tetracyclines and sulfonamide resistance genes(ARGs), and the microbial community structure of the contaminated rivers were studied by using the Miseq sequencing and real-time PCR techniques. The tetracycline resistance genes tetA and tetB and the sulfonamide resistance genes sul1 and sul2 were both detected in water and sediment. And the absolute abundances of tetracycline resistance gene and sulfonamide resistance gene were 5.09×10~3~1.26×10~7 and 3.94×10~5~1.32×10~9 copics/L, respectively. The abundances of sul1 antibiotic resistance gene was significantly higher than other genes. The main dominant bacteria in the river were Proteobacteria, Bacteroidetes, Firmicutes, Actinobacteria and Cyanobacteria. The relative abundance accounted for 95.62% of the total proportion, and there was little difference in overall of the examples. The analysis of resistance gene and microbial community redundancy showed that Methylotenera was the main factor affecting the abundance of tetA resistance gene, Dechloromonas and Clostridium. Sensu stricto 1 were the main factors affecting the abundance of tetB resistance gene, and Dechloromonas, Clostridium sensu stricto 1 and Methylotenera were the main factors affecting of the abundance of sul1 and sul2 resistance gene distribution.
【Key words】 antibiotic-resistant genes; real time quantitative polymerase chain reaction; miseq; microbial community structure;
- 【文献出处】 中国环境科学 ,China Environmental Science , 编辑部邮箱 ,2019年06期
- 【分类号】X172;X522
- 【被引频次】13
- 【下载频次】526