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Cited 60 time in webofscience Cited 62 time in scopus
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Prevalence of antibiotic resistance genes from effluent of coastal aquaculture, South Korea

Authors
Jang, Hyun MinJang, Hyun MinChoi, SangkiLee, YunhoShin, Seung GuUnno, TatsuyaKim, 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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