4.7 Article

Characteristics of antibiotic resistance gene distribution in rainfall runoff and combined sewer overflow

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 11, 页码 30766-30778

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SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-24257-1

关键词

Antibiotic resistance genes; Non-point source pollution; Environmental factors; Co-occurrence

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Rainfall runoff and combined sewer overflow contribute to the occurrence and distribution of antibiotic resistance genes (ARGs). Multidrug resistance genes are the most abundant ARG types, positively correlated with chemical organic demand (COD) and bacterial abundance. Nanoparticles may also play a role in the spread and transformation of ARGs.
Rainfall runoff and combined sewer overflow (CSO) converge with organic waste, nutrients, and microbes from the ground and wastewater. These pollutants promote the spread and transformation of antibiotic resistance genes (ARGs). In this study, four rainfall runoff and one CSO outfall were chosen, and samples were collected to explore the occurrence and distribution of ARGs. The ARGs were extracted from suspended solids and analyzed using metagenomic sequencing. A total of 888 ARG subtypes, belonging to 17 ARG types, were detected in all samples. Eleven ARG types were shared by all the samples. Multidrug resistance genes had the highest relative abundance. Their total relative abundance reached 1.07 ratio (ARG copy number/16S rRNA gene copy number) and comprised 46.6% of all the ARGs. In all samples, the CSO outfall had the highest total relative abundance (8.25 x 10(-1) ratio) of ARGs, with a ratio ranging ND (not detected)-3.78 x 10(-1) ratio. Furthermore, the relationship between ARG types and environmental factors was determined using redundancy analysis. The results showed that chemical organic demand (COD) and bacterial abundance were positively correlated with most ARG types, including multidrug, bacitracin, aminoglycoside, beta- lactam, tetracycline, and sulfonamide. NH3-N, TN, and TP were positively correlated with rifamycin, fosmidomycin, and vancomycin resistance genes. The relationship among the ARG subtypes was investigated using network analyses. The multidrug resistance gene subtypes had the highest frequency of co-occurrence. This study provides insights into the occurrence and distribution of ARGs under non-point source pollution and may contribute to the control of ARGs.

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