Prevalence of antibiotic resistance genes from effluent of coastal aquaculture, South Korea
- Authors
- Jang, Hyun Min; Jang, Hyun Min; Choi, Sangki; Lee, Yunho; Shin, Seung Gu; Unno, Tatsuya; Kim, Young Mo
- Issue Date
- Feb-2018
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Coastal aquaculture; Antibiotic resistance genes (ARGs); High-throughput sequencing; Quantitative PCR (qPCR); Network analysis
- Citation
- ENVIRONMENTAL POLLUTION, v.233, pp.1049 - 1057
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENVIRONMENTAL POLLUTION
- Volume
- 233
- Start Page
- 1049
- End Page
- 1057
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/17772
- DOI
- 10.1016/j.envpol.2017.10.006
- ISSN
- 0269-7491
- Abstract
- The wide use of antibiotics in aquaculture for prophylactic and therapeutic purposes can potentially lead to the prevalence of antibiotic resistance genes (ARGs). This study reports for the first time the profile of ARGs from effluents of coastal aquaculture located in South Jeolla province and Jeju Island, South Korea. Using quantitative PCR (qPCR), twenty-two ARGs encoding tetracycline resistance (tetA, tetB, tetD, tetE, tetG, tetH, tetM, tetQ tetX, tetZ, tetBP), sulfonamide resistance (sul1, sul2), quinolone resistance (qnrD, qnrS, aac(6'-Ib-cr), beta-lactams resistance (bla(TEM), bla(crx), bla(SHV)), macrolide resistance (ermC), florfenicol resistance (OR) and multidrug resistance (oqxA) and a class 1 integrons-integrase gene (intI1) were quantified. In addition, Illumina Miseq sequencing was applied to investigate microbial community differences across fish farm effluents. Results from qPCR showed that the total number of detected ARGs ranged from 4.24 x 10(-3) to 1.46 x 10(-2) copies/16S rRNA gene. Among them, tetB and tetD were predominant, accounting for 74.8%-98.0% of the total ARGs. Furthermore, intI1 gene showed positive correlation with tetB, tetD, tetE, tetH, tetX, tetZ tetQ and suI1. Microbial community analysis revealed potential host bacteria for ARGs and inti1. Two genera, Vibrio and Marinomonas belonging to Gamtnaproteobacteria, showed significant correlation with tetB and tetD, the most dominant ARGs in all samples. Also, operational taxonomic units (OTUs)-based network analysis revealed that ten OTUs, classified into the phyla Proteobacteria, Cyanobacteria/Chloroplast, Bacteroidetes, Verrucomicrobia and an unclassified phylum, were potential hosts of tetracycline resistance genes (i.e., tetA, tetG, tetH, tetM, tetQ and tetZ). Further systematic monitoring of ARGs is warranted for risk assessment and management of antibacterial resistance from fish farm effluents.
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