Mobile Genetic Elements Drive the Antibiotic Resistome Alteration in Freshwater Shrimp Aquaculture

被引:6
作者
Fang, Hao [1 ]
Ye, Nan [1 ]
Huang, Kailong [1 ,2 ,3 ]
Yu, Junnan [1 ]
Zhang, Shuai [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitor & Poll, Collaborat Innovat Ctr Atmospher Environm & Equip, Nanjing 210044, Peoples R China
[2] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Peoples R China
[3] Nanjing Jiangdao Inst Environm Res Co Ltd, Nanjing 210019, Peoples R China
关键词
antibiotic resistance genes; bacterial community; shrimp aquaculture; high-throughput sequencing; metagenomic analysis; RESISTANCE GENES; BACTERIAL COMMUNITIES; METAGENOMIC ANALYSIS; TEMPORAL VARIATION; DRINKING-WATER; WASTE-WATER; NETWORK; GUT; INSIGHTS; ENVIRONMENT;
D O I
10.3390/w13111461
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Shrimp aquaculture environments are a natural reservoir of multiple antibiotic resistance genes (ARGs) due to the overuse of antibiotics. Nowadays, the prevalence of these kinds of emerging contaminants in shrimp aquaculture environments is still unclear. In this study, high-throughput sequencing techniques were used to analyze the distribution of ARGs and mobile genetic elements (MGEs), bacterial communities, and their correlations in water and sediment samples in two types of typical shrimp (Procambarus clarkii and Macrobrachium rosenbergii) freshwater aquaculture environments. A total of 318 ARG subtypes within 19 ARG types were detected in all the samples. The biodiversity and relative abundance of ARGs in sediment samples showed much higher levels compared to water samples from all ponds in the study area. Bacitracin (17.44-82.82%) and multidrug (8.57-49.70%) were dominant ARG types in P. clarkii ponds, while sulfonamide (26.33-39.59%) and bacitracin (12.75-37.11%) were dominant ARG types in M. rosenbergii ponds. Network analysis underlined the complex co-occurrence patterns between bacterial communities and ARGs. Proteobacteria, Cyanobacteria, and Actinobacteria exhibited a high abundance in all samples, in which C39 (OTU25355) and Hydrogenophaga (OTU162961) played important roles in the dissemination of and variation in ARGs based on their strong connections between ARGs and bacterial communities. Furthermore, pathogens (e.g., Aeromonadaceae (OTU195200) and Microbacteriaceae (OTU16033)), which were potential hosts for various ARGs, may accelerate the propagation of ARGs and be harmful to human health via horizontal gene transfer mediated by MGEs. Variation partitioning analysis further confirmed that MGEs were the most crucial contributor (74.76%) driving the resistome alteration. This study may help us to understand the non-ignorable correlations among ARGs, bacterial diversity, and MGEs in the shrimp freshwater aquaculture environments.
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页数:16
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共 72 条
[1]  
Adderson EE, 2008, PEDIATR INFECT DIS J, V27, P136, DOI [10.1097/INF.0b0113e31814fab12, 10.1097/INF.0b013e31814fab12]
[2]   Using network analysis to explore co-occurrence patterns in soil microbial communities [J].
Barberan, Albert ;
Bates, Scott T. ;
Casamayor, Emilio O. ;
Fierer, Noah .
ISME JOURNAL, 2012, 6 (02) :343-351
[3]   Proteobacteria become predominant during regrowth after water disinfection [J].
Becerra-Castro, Cristina ;
Macedo, Goncalo ;
Silva, Adrian M. T. ;
Manaia, Celia M. ;
Nunes, Olga C. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 573 :313-323
[4]   Trimmomatic: a flexible trimmer for Illumina sequence data [J].
Bolger, Anthony M. ;
Lohse, Marc ;
Usadel, Bjoern .
BIOINFORMATICS, 2014, 30 (15) :2114-2120
[5]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[6]   Antibiotic Application and Emergence of Multiple Antibiotic Resistance (MAR) in Global Catfish Aquaculture [J].
Chuah L.-O. ;
Effarizah M.E. ;
Goni A.M. ;
Rusul G. .
Current Environmental Health Reports, 2016, 3 (2) :118-127
[7]   Multi-Drug Resistance Mediated by Class 1 Integrons in Aeromonas Isolated from Farmed Freshwater Animals [J].
Deng, Yuting ;
Wu, Yali ;
Jiang, Lan ;
Tan, Aiping ;
Zhang, Ruiquan ;
Luo, Li .
FRONTIERS IN MICROBIOLOGY, 2016, 7
[8]   Accumulation of Clinically Relevant Antibiotic-Resistance Genes, Bacterial Load, and Metals in Freshwater Lake Sediments in Central Europe [J].
Devarajan, Naresh ;
Laffite, Amandine ;
Graham, Neil D. ;
Meijer, Maria ;
Prabakar, Kandasamy ;
Mubedi, Josue I. ;
Elongo, Vicky ;
Mpiana, Pius T. ;
Ibelings, Bastiaan Willem ;
Wildi, Walter ;
Pote, John .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (11) :6528-6537
[9]   Occurrence of antibiotic resistance genes and bacterial pathogens in water and sediment in urban recreational water [J].
Dong, Peiyan ;
Cui, Qijia ;
Fang, Tingting ;
Huang, Yong ;
Wang, Hui .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2019, 77 (65-74) :65-74
[10]   Disparate Antibiotic Resistance Gene Quantities Revealed across 4 Major Cities in California: A Survey in Drinking Water, Air, and Soil at 24 Public Parks [J].
Echeverria-Palencia, Cristina M. ;
Thulsiraj, Vanessa ;
Tran, Nghi ;
Ericksen, Cody A. ;
Melendez, Isabel ;
Sanchez, Michael G. ;
Walpert, Devin ;
Yuan, Tony ;
Ficara, Elizabeth ;
Senthilkumar, Niru ;
Sun, Fangfang ;
Li, Renjie ;
Hernandez-Cira, Marisol ;
Gamboa, Demi ;
Haro, Heather ;
Paulson, Suzanne E. ;
Zhu, Yifang ;
Jay, Jennifer A. .
ACS OMEGA, 2017, 2 (05) :2255-2263