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A platform for research: civil engineering, architecture and urbanism
Impacts of net cages on pollutant accumulation and its consequence on antibiotic resistance genes (ARGs) dissemination in freshwater ecosystems: Insights for sustainable urban water management
Graphical abstract Display Omitted
Highlights Net cages enhance the accumulation of some high-risk ARGs, such as dfrA14 and blaZ. The co-transfer of ARGs, MGEs, and BMRGs would be favored in net cage plots. The more elevated tendency of the ARG-HGT was observed in net cage plots. Net cage-associated biofilms were the hot spot of the accumulation of ARGs.
Abstract There has been increasing interest in the role of human activities in disseminating antibiotic-resistance genes (ARGs) in aquatic ecosystems. However, the influence of pollutant accumulation on anthropogenic pollutant-ARG synergistic actions is limited. This study explored the association of net cages with the propagation of anthropogenic pollutants and their consequences for influencing the enrichment of ARGs using high-throughput metagenomic sequencing. We showed that net cages could substantially impact the ecology of freshwater systems by enhancing i) ARG diversity and the tendency for ARG-horizontal gene transfer and ii) the overlap of mobile genetic elements (MGEs) with biocide-metal resistance genes (BMRGs) and ARGs. These findings suggested that the cotransfer of these three genetic determinants would be favored in net cage plots and that nonantibiotic factors such as metal(loid)s, particularly iron (Fe), displayed robust selective pressures on ARGs exerted by the net cage. The resistome risk scores of net cage sediments and biofilms were higher than those from off-net cage plots, indicating that the net cage-origin antibiotic resistome should be of great concern. The combination of deterministic and stochastic processes acting on bacterial communities could explain the higher ARG variations in cage plots (8.2%) than in off-cage plots (3.4%). Moreover, MGEs and pollutants together explained 43.3% of the total variation in ARG communities, which was higher than that of off-cage plots (8.8%), considering pollutants, environmental variables, MGEs, and assembly processes. These findings will inform the development of policies and guidelines to more effectively limit the spread of antimicrobial resistance and achieve the goal of sustainability in freshwater systems in urban areas.
Impacts of net cages on pollutant accumulation and its consequence on antibiotic resistance genes (ARGs) dissemination in freshwater ecosystems: Insights for sustainable urban water management
Graphical abstract Display Omitted
Highlights Net cages enhance the accumulation of some high-risk ARGs, such as dfrA14 and blaZ. The co-transfer of ARGs, MGEs, and BMRGs would be favored in net cage plots. The more elevated tendency of the ARG-HGT was observed in net cage plots. Net cage-associated biofilms were the hot spot of the accumulation of ARGs.
Abstract There has been increasing interest in the role of human activities in disseminating antibiotic-resistance genes (ARGs) in aquatic ecosystems. However, the influence of pollutant accumulation on anthropogenic pollutant-ARG synergistic actions is limited. This study explored the association of net cages with the propagation of anthropogenic pollutants and their consequences for influencing the enrichment of ARGs using high-throughput metagenomic sequencing. We showed that net cages could substantially impact the ecology of freshwater systems by enhancing i) ARG diversity and the tendency for ARG-horizontal gene transfer and ii) the overlap of mobile genetic elements (MGEs) with biocide-metal resistance genes (BMRGs) and ARGs. These findings suggested that the cotransfer of these three genetic determinants would be favored in net cage plots and that nonantibiotic factors such as metal(loid)s, particularly iron (Fe), displayed robust selective pressures on ARGs exerted by the net cage. The resistome risk scores of net cage sediments and biofilms were higher than those from off-net cage plots, indicating that the net cage-origin antibiotic resistome should be of great concern. The combination of deterministic and stochastic processes acting on bacterial communities could explain the higher ARG variations in cage plots (8.2%) than in off-cage plots (3.4%). Moreover, MGEs and pollutants together explained 43.3% of the total variation in ARG communities, which was higher than that of off-cage plots (8.8%), considering pollutants, environmental variables, MGEs, and assembly processes. These findings will inform the development of policies and guidelines to more effectively limit the spread of antimicrobial resistance and achieve the goal of sustainability in freshwater systems in urban areas.
Impacts of net cages on pollutant accumulation and its consequence on antibiotic resistance genes (ARGs) dissemination in freshwater ecosystems: Insights for sustainable urban water management
Wang, Min (author) / Masoudi, Abolfazl (author) / Wang, Can (author) / Wu, Changhao (author) / Zhang, Ze (author) / Zhao, Xin (author) / Liu, Yuanjie (author) / Yu, Zhijun (author) / Liu, Jingze (author)
2023-11-26
Article (Journal)
Electronic Resource
English
Antibiotic residues , Net cage-driven ARG pattern , Heavy metals , Key functional genes , Ecosystem risks , ARGs , antibiotic resistance genes , ARBs , antibiotic resistance bacteria , ABs , antibiotics , AMR , antimicrobial resistance , BYD , baiyang lake , ZZD , zǎo zhǎ diàn lake , XNA , xiong'an new area , FC , fish cages , WFC , without fish cages , PES , polyethersulfone , Al , aluminum , V , vanadium , Cr , chromium , Mn , manganese , Fe , iron , Co , cobalt , Ni , nickel , Cu , copper , Zn , zinc , As , arsenic , Mo , molybdenum , Ag , silver , Cd , cadmium , Sb , antinomy , Ba , barium , Pb , lead , ICP-MS , inductively coupled plasma mass spectrometry , ICP-AES , ICP-atomic emission spectrometry , WC , water content , SOM , soil organic matter , TK , total potassium , TC , total carbon , TP , total phosphorus , TN , total nitrogen , NH<inf>4</inf> <sup>+</sup>-N , ammonium nitrogen , NO<inf>3</inf> <sup>-</sup>N , nitrate-nitrogen , DOC , dissolved organic carbon , DTN , dissolved total nitrogen , SAs , sulfonamides , SMZ , sulfamethazine , SMP , Sulfamethoxypyridazine , SMX , sulfamethoxazole , SQX , Sulfaquinoxaline , STZ , sulfathiazole , TCs , tetracyclines , TET , tetracycline , OXY , oxytetracycline , CHL , chlortetracycline , DOX , doxycycline , BLs , beta lactams , PEN , penicillin G , AMP , ampicillin , AMO , amoxicillin , CEF , ceftiofur , CFO , cefotaxime , CEP , cephalexin , FQs , fluoroquinolones , NOR , norfloxacin , ENR , enrofloxacin , LEV , levofloxacin , MCs , macrolides , ERY , erythromycin , ROX , roxithromycin , TYL , tylosin , TIL , tilmicosin , AZI , azithromycin , HPLC , high-performance liquid chromatograph , GCMS , gas chromatograph mass spectrometer , qPCR , real-time quantitative PCR analysis , CARD , comprehensive antibiotic resistance database , BMRGs , Biocide and metal resistance gene , MGE , mobile genetic elements , HGT , horizontal gene transfer , C , carbon, N, nitrogen , P , phosphorus , S , sulfur , RPKM , reads per kilobase million , VPA , Variation partition analysis , PLS-PM , partial least-squares-path model , βNTI, β-nearest taxon index , OTU, operational taxonomic units , PRA , partial redundancy analysis
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