1
|
Odey TOJ, Tanimowo WO, Afolabi KO, Jahid IK, Reuben RC. Antimicrobial use and resistance in food animal production: food safety and associated concerns in Sub-Saharan Africa. Int Microbiol 2024; 27:1-23. [PMID: 38055165 PMCID: PMC10830768 DOI: 10.1007/s10123-023-00462-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023]
Abstract
The use of antimicrobials in food animal (FA) production is a common practice all over the world, with even greater usage and dependence in the developing world, including Sub-Saharan Africa (SSA). However, this practice which serves obvious economic benefits to producers has raised public health concerns over the last decades, thus driving the selection and dissemination of antimicrobial resistance and adversely impacting food safety and environmental health. This review presents the current and comprehensive antimicrobial usage practices in food animal production across SSA. We further highlighted the overall regional drivers as well as the public health, environmental, and economic impact of antimicrobial use in the production of food animals. Antimicrobial use is likely to increase with even exacerbated outcomes unless cost-effective, safe, and sustainable alternatives to antibiotics, especially probiotics, prebiotics, bacteriocins, antimicrobial peptides, bacteriophages, vaccines, etc. are urgently advocated for and used in food animal production in SSA. These, in addition to the implementation of strong legislation on antimicrobial use, and improved hygiene will help mitigate the public health concerns associated with antimicrobial use in food animals and improve the well-being and safety of food animals and their products.
Collapse
Affiliation(s)
- Timothy Obiebe Jason Odey
- Department of Biological Sciences, Faculty of Natural, Applied, and Health Sciences, Anchor University, Lagos, Nigeria
| | - Williams Omotola Tanimowo
- Department of Biological Sciences, Faculty of Natural, Applied, and Health Sciences, Anchor University, Lagos, Nigeria
| | - Kayode Olayinka Afolabi
- Department of Biological Sciences, Faculty of Natural, Applied, and Health Sciences, Anchor University, Lagos, Nigeria
- Pathogenic Yeasts Research Group, Department of Microbiology and Biochemistry, University of The Free State, Bloemfontein, South Africa
| | - Iqbal Kabir Jahid
- Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Rine Christopher Reuben
- Department of Biological Sciences, Faculty of Natural, Applied, and Health Sciences, Anchor University, Lagos, Nigeria.
- Area of Biochemistry and Molecular Biology, OneHealth-UR Research Group, University of La Rioja, 26006, Logroño, Spain.
| |
Collapse
|
2
|
Liu W, Sun C, Ren Z, Hao S, Chen Z, Li T, Wen X. Long-term occurrence, resistance risk and chaotic characteristics of antibiotic resistance genes in sludge anaerobic digestion system. BIORESOURCE TECHNOLOGY 2024; 394:130267. [PMID: 38154733 DOI: 10.1016/j.biortech.2023.130267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/08/2023] [Accepted: 12/25/2023] [Indexed: 12/30/2023]
Abstract
The long-term occurrence, dynamics and risk of antibiotic resistance genes (ARGs) in anaerobic digestion (AD) of excess sludge (ES) are not fully understood. Therefore, 13-month metagenomic monitoring was carried out in a full-scale AD plant. The highest ARG abundance and risk scores were observed in spring. AD achieved a 35 % removal rate for the total ARG abundance, but the risk score of AD sludge was not always lower than ES samples, because of the higher proportion of Rank I ARGs in AD sludge. ARGs showed less obvious patterns under linear models compared with microbial community, implying their chaotic dynamics, which was further confirmed by nonlinearity tests. Empirical dynamic modeling performed better than the autoregressive integrated moving average model for ARG dynamics, especially for those with simple and nonlinear dynamics. This study highlighted spring for its higher ARG abundance and risk, and recommended nonlinear models for revealing the dynamics of ARGs.
Collapse
Affiliation(s)
- Wei Liu
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Chenxiang Sun
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhengran Ren
- Research and Development Center, Beijing Drainage Group Co. Ltd., Beijing 100080, China
| | - Shan Hao
- Research and Development Center, Beijing Drainage Group Co. Ltd., Beijing 100080, China
| | - Zhan Chen
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Tianle Li
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Xianghua Wen
- School of Environment, Tsinghua University, Beijing 100084, China.
| |
Collapse
|
3
|
Bhat BA, Mir RA, Qadri H, Dhiman R, Almilaibary A, Alkhanani M, Mir MA. Integrons in the development of antimicrobial resistance: critical review and perspectives. Front Microbiol 2023; 14:1231938. [PMID: 37720149 PMCID: PMC10500605 DOI: 10.3389/fmicb.2023.1231938] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/14/2023] [Indexed: 09/19/2023] Open
Abstract
Antibiotic resistance development and pathogen cross-dissemination are both considered essential risks to human health on a worldwide scale. Antimicrobial resistance genes (AMRs) are acquired, expressed, disseminated, and traded mainly through integrons, the key players capable of transferring genes from bacterial chromosomes to plasmids and their integration by integrase to the target pathogenic host. Moreover, integrons play a central role in disseminating and assembling genes connected with antibiotic resistance in pathogenic and commensal bacterial species. They exhibit a large and concealed diversity in the natural environment, raising concerns about their potential for comprehensive application in bacterial adaptation. They should be viewed as a dangerous pool of resistance determinants from the "One Health approach." Among the three documented classes of integrons reported viz., class-1, 2, and 3, class 1 has been found frequently associated with AMRs in humans and is a critical genetic element to serve as a target for therapeutics to AMRs through gene silencing or combinatorial therapies. The direct method of screening gene cassettes linked to pathogenesis and resistance harbored by integrons is a novel way to assess human health. In the last decade, they have witnessed surveying the integron-associated gene cassettes associated with increased drug tolerance and rising pathogenicity of human pathogenic microbes. Consequently, we aimed to unravel the structure and functions of integrons and their integration mechanism by understanding horizontal gene transfer from one trophic group to another. Many updates for the gene cassettes harbored by integrons related to resistance and pathogenicity are extensively explored. Additionally, an updated account of the assessment of AMRs and prevailing antibiotic resistance by integrons in humans is grossly detailed-lastly, the estimation of AMR dissemination by employing integrons as potential biomarkers are also highlighted. The current review on integrons will pave the way to clinical understanding for devising a roadmap solution to AMR and pathogenicity. Graphical AbstractThe graphical abstract displays how integron-aided AMRs to humans: Transposons capture integron gene cassettes to yield high mobility integrons that target res sites of plasmids. These plasmids, in turn, promote the mobility of acquired integrons into diverse bacterial species. The acquisitions of resistant genes are transferred to humans through horizontal gene transfer.
Collapse
Affiliation(s)
- Basharat Ahmad Bhat
- Department of Bio-Resources, School of Biological Sciences, University of Kashmir, Srinagar, India
| | - Rakeeb Ahmad Mir
- Department of Biotechnology, School of Life Sciences, Central University of Kashmir, Ganderbal, India
| | - Hafsa Qadri
- Department of Bio-Resources, School of Biological Sciences, University of Kashmir, Srinagar, India
| | - Rohan Dhiman
- Department of Life Sciences, National Institute of Technology (NIT), Rourkela, Odisha, India
| | - Abdullah Almilaibary
- Department of Family and Community Medicine, Faculty of Medicine, Al Baha University, Al Bahah, Saudi Arabia
| | - Mustfa Alkhanani
- Department of Biology, College of Science, Hafr Al Batin University of Hafr Al-Batin, Hafar Al Batin, Saudi Arabia
| | - Manzoor Ahmad Mir
- Department of Bio-Resources, School of Biological Sciences, University of Kashmir, Srinagar, India
| |
Collapse
|
4
|
Wu C, Zhang G, Zhang K, Sun J, Cui Z, Guo Y, Liu H, Xu W. Strong variation in sedimental antibiotic resistomes among urban rivers, estuaries and coastal oceans: Evidence from a river-connected coastal water ecosystem in northern China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 342:118132. [PMID: 37263036 DOI: 10.1016/j.jenvman.2023.118132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 05/05/2023] [Accepted: 05/07/2023] [Indexed: 06/03/2023]
Abstract
Sediment is thought to be a vital reservoir to spread antibiotic resistance genes (ARGs) among various natural environments. However, the spatial distribution patterns of the sedimental antibiotic resistomes around the Bohai Bay region, a river-connected coastal water ecosystem, are still poorly understood. The present study conducted a comprehensive investigation of ARGs among urban rivers (UR), estuaries (ES) and Bohai Bay (BHB) by metagenomic sequencing. Overall, a total of 169 unique ARGs conferring resistance to 15 antimicrobial classes were detected across all sediment samples. The Kruskal-Wallis test showed that the diversity and abundance of ARGs in the UR were all significantly higher than those in the ES and BHB (p < 0.05 and p < 0.01), revealing the distance dilution of the sedimental resistomes from the river to the ocean. Multidrug resistance genes contained most of the ARG subtypes, whereas rifamycin resistance genes were the most abundant ARGs in this region. Our study demonstrated that most antimicrobial resistomes were highly accumulated in urban river sediments, whereas beta-lactamase resistance genes (mainly PNGM-1) dramatically increased away from the estuary to the open ocean. The relative abundance of mobile genetic elements (MGEs) also gradually decreased from rivers to the coastal ocean, whereas the difference in pathogenic bacteria was not significant in the three classifications. Among MGEs, plasmids were recognized as the most important carriers to support the horizontal gene transfer of ARGs within and between species. According to co-occurrence networks, pathogenic Proteobacteria, Actinobacteria, and Bacteroidetes were recognized as potential and important hosts of ARGs. Heavy metals, pH and moisture content were all recognized as the vital environmental factors influencing the distribution of ARGs in sediment samples. Overall, the present study may help to understand the distribution patterns of ARGs at a watershed scale, and help to make effective policies to control the emergence, spread and evolution of different ARG subtypes in different habitats.
Collapse
Affiliation(s)
- Chao Wu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, 266071, China; Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, 266071, China
| | - Guicheng Zhang
- Research Centre for Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Kai Zhang
- National Observation and Research Station of Coastal Ecological Environments in Macao, Macao Environmental Research Institute, Macau University of Science and Technology, Macao, 999078, China
| | - Jun Sun
- Research Centre for Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Institute for Advanced Marine Research, China University of Geosciences, Guangzhou, 510635, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Wuhan), Wuhan, 430074, China.
| | - Zhengguo Cui
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, 266071, China; Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong, 266071, China.
| | - Yiyan Guo
- Research Centre for Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Haijiao Liu
- Research Centre for Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Wenzhe Xu
- Research Centre for Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| |
Collapse
|
5
|
Shetty BD, Amaly N, Weimer BC, Pandey P. Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems. Front Artif Intell 2023; 5:921924. [PMID: 36686852 PMCID: PMC9848401 DOI: 10.3389/frai.2022.921924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/21/2022] [Indexed: 01/06/2023] Open
Abstract
An increased understanding of the interaction between manure management and public and environmental health has led to the development of Alternative Dairy Effluent Management Strategies (ADEMS). The efficiency of such ADEMS can be increased using mechanical solid-liquid-separator (SLS) or gravitational Weeping-Wall (WW) solid separation systems. In this research, using pilot study data from 96 samples, the chemical, physical, biological, seasonal, and structural parameters between SLS and WW of ADEM systems were compared. Parameters including sodium, potassium, total salts, volatile solids, pH, and E. coli levels were significantly different between the SLS and WW of ADEMS. The separated solid fraction of the dairy effluents had the lowest E. coli levels, which could have beneficial downstream implications in terms of microbial pollution control. To predict effluent quality and microbial pollution risk, we used Escherichia coli as the indicator organism, and a versatile machine learning, ensemble, stacked, super-learner model called E-C-MAN (Escherichia coli-Manure) was developed. Using pilot data, the E-C-MAN model was trained, and the trained model was validated with the test dataset. These results demonstrate that the heuristic E-C-MAN ensemble model can provide a pilot framework toward predicting Escherichia coli levels in manure treated by SLS or WW systems.
Collapse
Affiliation(s)
- B. Dharmaveer Shetty
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Noha Amaly
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States,Polymeric Materials Research Department, Advanced Technology and New Materials Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria, Egypt
| | - Bart C. Weimer
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Pramod Pandey
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States,*Correspondence: Pramod Pandey
| |
Collapse
|
6
|
He J, Zhang N, Shen X, Muhammad A, Shao Y. Deciphering environmental resistome and mobilome risks on the stone monument: A reservoir of antimicrobial resistance genes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156443. [PMID: 35660621 DOI: 10.1016/j.scitotenv.2022.156443] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/30/2022] [Accepted: 05/30/2022] [Indexed: 06/15/2023]
Abstract
Antimicrobial resistance (AMR) in the environment has attracted increasing attention as an emerging global threat to public health. Stone is an essential ecosystem in nature and also an important material for human society, having architectural and aesthetic values. However, little is known about the AMR in stone ecosystems, particularly in the stone monument, where antimicrobials are often applied against biodeterioration. Here, we provide the first detailed metagenomic study of AMR genes across different types of biodeteriorated stone monuments, which revealed abundant and diverse AMR genes conferring resistance to drugs (antibiotics), biocides, and metals. Totally, 132 AMR subtypes belonging to 27 AMR types were detected including copper-, rifampin-, and aminocoumarins-resistance genes, of which diversity was mainly explained by the spatial turnover (replacement of genes between samples) rather than nestedness (loss of nested genes between samples). Source track analysis confirms that stone resistomes are likely driven by anthropogenic activities across stone heritage areas. We also detected various mobile genetic elements (namely mobilome, e.g., prophages, plasmids, and insertion sequences) that could accelerate replication and horizontal transfer of AMR genes. Host-tracking analysis further identified multiple biodeterioration-related bacterial genera such as Pseudonocardia, Sphingmonas, and Streptomyces as the major hosts of resistome. Taken together, these findings highlight that stone microbiota is one of the natural reservoirs of antimicrobial-resistant hazards, and the diverse resistome and mobilome carried by active biodeteriogens may improve their adaptation on stone and even deactivate the antimicrobials applied against biodeterioration. This enhanced knowledge may also provide novel and specific avenues for environmental management and stone heritage protection.
Collapse
Affiliation(s)
- Jintao He
- Max Planck Partner Group, Faculty of Agriculture, Life and Environmental Sciences, Zhejiang University, China
| | - Nan Zhang
- Max Planck Partner Group, Faculty of Agriculture, Life and Environmental Sciences, Zhejiang University, China
| | - Xiaoqiang Shen
- Max Planck Partner Group, Faculty of Agriculture, Life and Environmental Sciences, Zhejiang University, China
| | - Abrar Muhammad
- Max Planck Partner Group, Faculty of Agriculture, Life and Environmental Sciences, Zhejiang University, China
| | - Yongqi Shao
- Max Planck Partner Group, Faculty of Agriculture, Life and Environmental Sciences, Zhejiang University, China; Key Laboratory for Molecular Animal Nutrition, Ministry of Education, China.
| |
Collapse
|
7
|
Deshpande AS, Fahrenfeld NL. Abundance, diversity, and host assignment of total, intracellular, and extracellular antibiotic resistance genes in riverbed sediments. WATER RESEARCH 2022; 217:118363. [PMID: 35390554 DOI: 10.1016/j.watres.2022.118363] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 06/14/2023]
Abstract
Human health risk assessment for environmental antibiotic resistant microbes requires not only quantifying the abundance of antibiotic resistance genes (ARGs) in environmental matrices, but also understanding their hosts and genetic context. Further, differentiating ARGs in intracellular and extracellular DNA (iDNA and eDNA) fractions may help refine our understanding of ARG transferability. The objectives of this study were to understand the (O1) abundance and diversity of extracellular, intracellular, and total ARGs along a land use gradient and (O2) impact of bioinformatics pipeline on the assignment of putative hosts for the ARGs observed in the different DNA fractions. Sediment samples were collected along a land use gradient in the Raritan River, New Jersey, USA. DNA was extracted to separate eDNA and iDNA and qPCR was performed for select ARGs and the 16S rRNA gene. Shotgun metagenomic sequencing was performed on DNA extracts for the different DNA fractions. ARG hosts were assigned via two different bioinformatic pipelines: network analysis of raw reads versus assembly. Results of the two pipelines were compared to evaluate their performance in terms of number and diversity of linkages and accuracy of in silico matrix spike host assignments. No differences were observed in the 16S rRNA gene normalized sul1 concentrations between the DNA fractions. The overall microbial community structure was more similar for iDNA and total DNA compared to eDNA and generally clustered by sampling site. ARGs associated with mobile genetic elements increased in iDNA for the downstream sites. Regarding host assignment, the raw reads pipeline via network analysis identified 247 ARG hosts as compared to 53 hosts identified by assembly pipeline. Other comparisons between the pipelines were made including ARG assignment to taxa containing waterborne pathogens and practical considerations regarding processing time.
Collapse
Affiliation(s)
- A S Deshpande
- Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA
| | - N L Fahrenfeld
- Civil and Environmental Engineering, Rutgers University, 500 Bartholomew Rd., Piscataway, NJ 08854, USA.
| |
Collapse
|
8
|
Li Y, Feng T, Wang Y. The role of bacterial signaling networks in antibiotics response and resistance regulation. MARINE LIFE SCIENCE & TECHNOLOGY 2022; 4:163-178. [PMID: 37073223 PMCID: PMC10077285 DOI: 10.1007/s42995-022-00126-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 01/07/2022] [Indexed: 05/03/2023]
Abstract
Excessive use of antibiotics poses a threat to public health and the environment. In ecosystems, such as the marine environment, antibiotic contamination has led to an increase in bacterial resistance. Therefore, the study of bacterial response to antibiotics and the regulation of resistance formation have become an important research field. Traditionally, the processes related to antibiotic responses and resistance regulation have mainly included the activation of efflux pumps, mutation of antibiotic targets, production of biofilms, and production of inactivated or passivation enzymes. In recent years, studies have shown that bacterial signaling networks can affect antibiotic responses and resistance regulation. Signaling systems mostly alter resistance by regulating biofilms, efflux pumps, and mobile genetic elements. Here we provide an overview of how bacterial intraspecific and interspecific signaling networks affect the response to environmental antibiotics. In doing so, this review provides theoretical support for inhibiting bacterial antibiotic resistance and alleviating health and ecological problems caused by antibiotic contamination.
Collapse
Affiliation(s)
- Yuying Li
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003 China
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China
| | - Tao Feng
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003 China
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China
| | - Yan Wang
- College of Marine Life Sciences, Ocean University of China, Qingdao, 266003 China
- Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003 China
- Laboratory for Marine Ecology and Environmental Science, National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071 China
| |
Collapse
|
9
|
Di Cesare A, Sabatino R, Yang Y, Brambilla D, Li P, Fontaneto D, Eckert EM, Corno G. Contribution of plasmidome, metal resistome and integrases to the persistence of the antibiotic resistome in aquatic environments. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 297:118774. [PMID: 34974089 DOI: 10.1016/j.envpol.2021.118774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/14/2021] [Accepted: 12/28/2021] [Indexed: 06/14/2023]
Abstract
Wastewater treatment plants (WWTPs) are among the main hotspots of antibiotic resistance genes (ARGs) in the environment. Previously, we demonstrated that, by increasing anthropogenic pollution, the antibiotic resistome persisted in the microbial community of rivers and lakes, independently by changes in community composition. In this study, we reanalysed the data to test for the relation of metal resistance genes (MRGs), plasmids, and integrons to the persistence of the antibiotic resistome. The experiment consisted in replicated co-cultures of riverine or lacustrine microbial communities and WWTP effluents in different proportions. Samples before (T0) and after a short period of incubation (TF) were collected and community metagenomic data were obtained by shotgun sequencing. The data were processed to annotate MRGs, plasmids, and integrases. The integrases stabilized in the aquatic environment following the degree of contamination with effluent water (in particular in one site), whereas MRGs and plasmids showed stochastic trajectories. These results confirm the potential correlation between integrons and anthropogenic pollution, and the reliability of intI1 as a pollution marker. Only in one site MRGs, plasmids, and ARGs were correlated, highlighting their partial contribution to the persistence of ARGs in surface waters.
Collapse
Affiliation(s)
- Andrea Di Cesare
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy.
| | - Raffaella Sabatino
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy
| | - Ying Yang
- School of Marine Sciences, Sun Yat-sen University, 519082, Zhuhai, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519082, Zhuhai, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519082, China
| | - Diego Brambilla
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy
| | - Pu Li
- School of Marine Sciences, Sun Yat-sen University, 519082, Zhuhai, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519082, Zhuhai, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519082, China
| | - Diego Fontaneto
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy
| | - Ester M Eckert
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy
| | - Gianluca Corno
- Water Research Institute (IRSA) - MEG Molecular Ecology Group, CNR - National Research Council of Italy, Largo Tonolli 50, 28922, Verbania, Italy
| |
Collapse
|
10
|
Wang L, Chai B. Fate of Antibiotic Resistance Genes and Changes in Bacterial Community With Increasing Breeding Scale of Layer Manure. Front Microbiol 2022; 13:857046. [PMID: 35356511 PMCID: PMC8959713 DOI: 10.3389/fmicb.2022.857046] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 02/22/2022] [Indexed: 11/24/2022] Open
Abstract
The use of antimicrobials in intensive poultry production is becoming increasingly common because of its high throughput of meat and egg products. However, the profile of antibiotic resistance genes (ARGs) and the underlying mechanisms in different breeding scale farms were not fully explored. The study examined the profiles of ARGs in layer manure from three free-range and 12 intensive layer farms with different scales (N500, N5000, N10000, and N20000). A quantitative PCR (qPCR) array was used to quantify ARGs, and microbial community structure was analyzed by 16S rRNA gene sequencing. A total of 48 ARGs, belonging to seven major types, were identified in the layer manure samples, with sul2, tetM-01, and ermB being the predominant ones. The abundance, diversity, and mobility potential of ARGs in layer manure changed significantly with the increasing of the breeding scale. The abundances of total ARGs had significantly positive correlations with mobile genetic elements (MGEs), suggesting the mobility potential of ARGs in layer manure samples. Bacterial abundance did not show significant differences among the five group manure samples. However, bacterial diversity showed an increasing trend along the breeding scale. Pathogenic Bacteroidetes increased in the largest-scale layer manure samples and showed significant positive correlations with most ARGs. Network analysis revealed significant co-occurrence patterns between ARGs and microbial taxa, indicating ARGs had a wide range of bacterial hosts. Proteobacteria and Firmicutes were potential hosts for tetracycline and macrolide-lincosamide-streptogramin B (MLSB) resistant genes. Our results indicated that the expansion of the breeding scale of a farm promotes the abundance, diversity, and mobility potential of ARGs in layer manure.
Collapse
|
11
|
Kim H, Kim M, Kim S, Lee YM, Shin SC. Characterization of antimicrobial resistance genes and virulence factor genes in an Arctic permafrost region revealed by metagenomics. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 294:118634. [PMID: 34875269 DOI: 10.1016/j.envpol.2021.118634] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/29/2021] [Accepted: 12/03/2021] [Indexed: 06/13/2023]
Abstract
Antimicrobial resistance genes (ARGs) and virulence factor genes (VFGs) constitute a serious threat to public health, and climate change has been predicted to affect the increase in bacterial pathogens harboring ARGs and VFGs. However, studies on bacterial pathogens and their ARGs and VFGs in permafrost region have received limited attention. In this study, a metagenomic approach was applied to a comprehensive survey to detect potential ARGs, VFGs, and pathogenic antibiotic resistant bacteria (PARB) carrying both ARGs and VFGs in the active layer and permafrost. Overall, 70 unique ARGs against 18 antimicrobial drug classes and 599 VFGs classified as 38 virulence factors were detected in the Arctic permafrost region. Eight genes with mobile genetic elements (MGEs) carrying ARGs were identified; most MGEs were classified as phages. In the metagenome-assembled genomes, the presence of 15 PARB was confirmed. The soil profile showed that the transcripts per million (TPM) values of ARGs and VFGs in the sub-soil horizon were significantly lower than those in the top soil horizon. Based on the TPM value of each gene, major ARGs, VFGs, and these genes in PARB from the Arctic permafrost region were identified and their distribution was confirmed. The major host bacteria for ARGs and VFGs and PARB were identified. A comparison of the percentage identity distribution of ARGs and VFGs to reference databases indicated that ARGs and VFGs in the Arctic soils differ from previously identified genes. Our results may help understand the characteristics and distribution of ARGs, VFGs, and these genes in PARB in the Arctic permafrost region. This findings suggest that the Arctic permafrost region may serve as potential reservoirs for ARGs, VFGs, and PARB. These genes could pose a new threat to human health if they are released by permafrost thawing owing to global warming and propagate to other regions.
Collapse
Affiliation(s)
- Heesoo Kim
- Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea
| | - Mincheol Kim
- Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea
| | - Sanghee Kim
- Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea
| | - Yung Mi Lee
- Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea
| | - Seung Chul Shin
- Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
| |
Collapse
|
12
|
Lu J, Zhang X, Wang C, Li M, Chen J, Xiong J. Responses of sediment resistome, virulence factors and potential pathogens to decades of antibiotics pollution in a shrimp aquafarm. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 794:148760. [PMID: 34323773 DOI: 10.1016/j.scitotenv.2021.148760] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 06/18/2021] [Accepted: 06/26/2021] [Indexed: 05/28/2023]
Abstract
Aquaculture ecosystem has become a hotspot of antibiotics resistance genes (ARGs) dissemination, owing to the abuse of prophylactic antibiotics. However, it is still unclear how and to what extent ARGs respond to the increasing antibiotic pollution, a trend as expected and as has occurred. Herein, a significant sediment antibiotic pollution gradient was detected along a drainage ditch after decades of shrimp aquaculture. The increasing antibiotic pollution evidently promoted the diversities and tailored the community structures of ARGs, mobile genetic elements (MGEs), virulence factors and pathogens. The profiles of ARGs and MGEs were directly altered by the concentrations of terramycin and sulphadimidine. By contrast, virulence factors were primarily affected by nutrient variables in sediment. The pathogens potentially hosted diverse virulence factors and ARGs. More than half of the detected ARGs subtypes non-linearly responded to increasing antibiotic pollution, as supported by significant tipping points. However, we screened seven antibiotic concentration discriminatory ARGs that could serve as independent variable for quantitatively diagnosing total antibiotic concentration. Co-occurrence analysis depicted that notorious aquaculture pathogens of Vibrio harveyi and V. parahaemolyticus potentially hosted ARGs that confer resistance to multiple antibiotics, while priority pathogens for humankind, e.g., Helicobacter pylori and Staphylococcus aureus, could have harbored redundant virulence factors. Collectively, the significant tipping points and antibiotic concentration-discriminatory ARGs may translate into warning index and diagnostic approach for diagnosing antibiotic pollution. Our findings provided novel insights into the interplay among ARGs, MGEs, pathogens, virulence factors and geochemical variables under the scenario of increasing antibiotic pollution.
Collapse
Affiliation(s)
- Jiaqi Lu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Xinxu Zhang
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Chaohua Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Meng Li
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Jiong Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Jinbo Xiong
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; School of Marine Sciences, Ningbo University, Ningbo 315211, China.
| |
Collapse
|
13
|
Manoharan RK, Srinivasan S, Shanmugam G, Ahn YH. Shotgun metagenomic analysis reveals the prevalence of antibiotic resistance genes and mobile genetic elements in full scale hospital wastewater treatment plants. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 296:113270. [PMID: 34271348 DOI: 10.1016/j.jenvman.2021.113270] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 06/15/2021] [Accepted: 07/09/2021] [Indexed: 06/13/2023]
Abstract
Wastewater treatment plants are considered as hotspots of emerging antimicrobial genes and mobile genetic elements. We used a shotgun metagenomic approach to examine the wide-spectrum profiles of ARGs (antibiotic resistance genes) and MGEs (mobile genetic elements) in activated sludge samples from two different hospital trains at the wastewater treatment plants (WWTPs) in Daegu, South Korea. The influent activated sludge and effluent of two trains (six samples in total) at WWTPs receiving domestic sewage wastewater (SWW) and hospital wastewater (HWW) samples collected at multiple periods were subjected to high throughput 16S rRNA metagenome sequencing for microbial community diversity. Cloacibacterium caeni and Lewinella nigricans were predominant in SWW effluents, while Bacillus subtilis and Staphylococcus epidermidis were predominant in HWW effluents based on the Miseq platform. Totally, 20,011 reads and 28,545 metagenomic sequence reads were assigned to 25 known ARG types in the SWW2 and HWW5 samples, respectively. The higher abundance of ARGs, including multidrug resistance (>53%, MDR), macrolide-lincosamide-streptogramin (>9%, MLS), beta-lactam (>3.3%), bacitracin (>4.4%), and tetracycline (>3.4%), confirmed the use of these antibiotics in human medicine. In total, 190 subtypes belonging to 23 antibiotic classes were detected in both SWW2 and HWW5 samples. RpoB2, MacB, and multidrug (MDR) ABC transporter shared the maximum matched genes in both activated sludge samples. The high abundance of MGEs, such as a gene transfer agent (GTA) (four times higher), transposable elements (1.6 times higher), plasmid related functions (3.8 times higher), and phages (two times higher) in HWW5 than in SWW2, revealed a risk of horizontal gene transfer in HWW. Domestic wastewater from hospital patients also influenced the abundance of ARGs and MGEs in the activated sludge process.
Collapse
Affiliation(s)
| | - Sathiyaraj Srinivasan
- Department of Bio & Environmental Technology, College of Natural Science, Seoul Women's University, 623 Hwarangno, Nowon-gu, Seoul, 01797, South Korea
| | - Gnanendra Shanmugam
- Department of Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea
| | - Young-Ho Ahn
- Department of Civil Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
| |
Collapse
|
14
|
Nguyen AQ, Vu HP, Nguyen LN, Wang Q, Djordjevic SP, Donner E, Yin H, Nghiem LD. Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 783:146964. [PMID: 33866168 DOI: 10.1016/j.scitotenv.2021.146964] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 05/29/2023]
Abstract
Antimicrobial resistance (AMR) is a growing threat to human and animal health. Progress in molecular biology has revealed new and significant challenges for AMR mitigation given the immense diversity of antibiotic resistance genes (ARGs), the complexity of ARG transfer, and the broad range of omnipresent factors contributing to AMR. Municipal, hospital and abattoir wastewater are collected and treated in wastewater treatment plants (WWTPs), where the presence of diverse selection pressures together with a highly concentrated consortium of pathogenic/commensal microbes create favourable conditions for the transfer of ARGs and proliferation of antibiotic resistant bacteria (ARB). The rapid emergence of antibiotic resistant pathogens of clinical and veterinary significance over the past 80 years has re-defined the role of WWTPs as a focal point in the fight against AMR. By reviewing the occurrence of ARGs in wastewater and sludge and the current technologies used to quantify ARGs and identify ARB, this paper provides a research roadmap to address existing challenges in AMR control via wastewater treatment. Wastewater treatment is a double-edged sword that can act as either a pathway for AMR spread or as a barrier to reduce the environmental release of anthropogenic AMR. State of the art ARB identification technologies, such as metagenomic sequencing and fluorescence-activated cell sorting, have enriched ARG/ARB databases, unveiled keystone species in AMR networks, and improved the resolution of AMR dissemination models. Data and information provided in this review highlight significant knowledge gaps. These include inconsistencies in ARG reporting units, lack of ARG/ARB monitoring surrogates, lack of a standardised protocol for determining ARG removal via wastewater treatments, and the inability to support appropriate risk assessment. This is due to a lack of standard monitoring targets and agreed threshold values, and paucity of information on the ARG-pathogen host relationship and risk management. These research gaps need to be addressed and research findings need to be transformed into practical guidance for WWTP operators to enable effective progress towards mitigating the evolution and spread of AMR.
Collapse
Affiliation(s)
- Anh Q Nguyen
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Hang P Vu
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Luong N Nguyen
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Qilin Wang
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Steven P Djordjevic
- Institute of Infection, Immunity and Innovation, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia
| | - Huabing Yin
- School of Engineering, University of Glasgow, Glasgow G12 8LT, UK
| | - Long D Nghiem
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia; Institute of Environmental Sciences, Nguyen Tat Thanh University, Ho Chi Minh City, Viet Nam.
| |
Collapse
|
15
|
Syafiuddin A, Boopathy R. Role of anaerobic sludge digestion in handling antibiotic resistant bacteria and antibiotic resistance genes - A review. BIORESOURCE TECHNOLOGY 2021; 330:124970. [PMID: 33735726 DOI: 10.1016/j.biortech.2021.124970] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 06/12/2023]
Abstract
Currently, anaerobic sludge digestion (ASD) is considered not only for treating residual sewage sludge and energy recovery but also for the reduction of antibiotic resistance genes (ARGs). The current review highlights the reasons why antibiotic resistant bacteria (ARB) and ARGs exist in ASD and how ASD performs in the reduction of ARB and ARGs. ARGs and ARB have been detected in ASD with some reports indicating some of the ARGs can be completely removed during the ASD process, while other studies reported the enrichment of ARB and ARGs after ASD. This paper reviews the performance of ASD based on operational parameters as well as environmental chemistry. More studies are needed to improve the performance of ASD in reducing ARGs that are difficult to handle and also differentiate between extracellular (eARGs) and intracellular ARGs (iARGs) to achieve more accurate quantification of the ARGs.
Collapse
Affiliation(s)
- Achmad Syafiuddin
- Department of Public Health, Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, East Java, Indonesia
| | - Raj Boopathy
- Department of Biological Sciences, Nicholls State University, Thibodaux, LA 70310, USA.
| |
Collapse
|
16
|
Zhang H, Zhang Z, Song J, Cai L, Yu Y, Fang H. Foam shares antibiotic resistomes and bacterial pathogens with activated sludge in wastewater treatment plants. JOURNAL OF HAZARDOUS MATERIALS 2021; 408:124855. [PMID: 33373956 DOI: 10.1016/j.jhazmat.2020.124855] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 12/10/2020] [Accepted: 12/13/2020] [Indexed: 05/22/2023]
Abstract
Foaming is a common operational problem that occurs in activated sludge (AS) from many wastewater treatment plants (WWTPs), but the characteristic of antibiotic resistance genes (ARGs) and human pathogenic bacteria (HPB) in foams is generally lacking. Here, we used a metagenomic approach to characterize the profile of ARGs and HPB in foams and AS from full-scale WWTPs receiving pesticide wastewater. No significant difference in the microbial communities was noted between the AS and foam samples. The diversity and abundance of ARGs in the foams were similar to those in the pertinent AS samples. Procrustes analysis suggested that the bacterial community is the major driver of ARGs. Metagenomic assembly also indicated that most ARGs (e.g., multidrug, rifamycin, peptides, macrolide-lincosamide-streptogramin, tetracycline, fluoroquinolone, and beta-lactam resistance genes) were carried by chromosomes rather than mobile genetic elements. Moreover, the relative abundances of HPB, Pseudomonas putida and Mycobacterium smegmatis, were enriched in the foam samples. Nine HPB were identified as carriers of 21 ARG subtypes, of which Pseudomonas aeruginosa could carry 12 ARG subtypes. Overall, this study indicates the prevalence of ARGs, HPB, and ARG-carrying HPB in foams, which highlights the potential risk of foams in spreading ARGs and HPB into the surrounding environments.
Collapse
Affiliation(s)
- Houpu Zhang
- Institute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Zihan Zhang
- Institute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Jiajin Song
- Institute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Lin Cai
- Shenzhen Institute and School of Chemistry and Environment, Guangdong Ocean University, Guangdong, China.
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Hua Fang
- Institute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Ministry of Agriculture, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Zhejiang University, Hangzhou 310058, China.
| |
Collapse
|
17
|
Yun H, Liang B, Ding Y, Li S, Wang Z, Khan A, Zhang P, Zhang P, Zhou A, Wang A, Li X. Fate of antibiotic resistance genes during temperature-changed psychrophilic anaerobic digestion of municipal sludge. WATER RESEARCH 2021; 194:116926. [PMID: 33618108 DOI: 10.1016/j.watres.2021.116926] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/27/2021] [Accepted: 02/11/2021] [Indexed: 06/12/2023]
Abstract
The effects of anaerobic digestion (AD) on the abundance of antibiotic resistance genes (ARGs) are highly related to operational temperature. However, the removal performance of ARGs in psychrophilic AD and changed temperatures simulating variable seasonal temperatures is poorly understood. Herein, we investigated the fate of ARGs, correlated bacterial communities and physicochemical properties of AD operation at psychrophilic (15 ℃), mesophilic (35 ℃), and temperature changed conditions (15 to 35 ℃ and 35 to 15 ℃). The results indicated that ammonia release was positively correlated with temperature. The mesophilic AD facilitated phosphorous intake and ARGs proliferation and selection with oxytetracycline (OTC), while psychrophilic AD was conducive to the removal and control of ARGs if no OTC existed. The diversity and composition of AD bacterial communities were influenced more by temperature than OTC. The dominant genera like Candidatus_Microthrix and Acinetobacter had dramatical abundance discrepancies at different temperatures and were obviously positively correlated with ARGs (tet39, tetC and mexD), mobile genetic elements (MGEs) intI, insert sequences (IS) and plasmid. The physicochemical properties of AD influenced the bacterial richness, which in turn significantly correlated with the ARGs abundances. Therefore, ARGs removal could be potentially optimized by eliminating bacterial hosts with deteriorated living conditions and decreased nutrients. This study clarified the response of antibiotic resistome to different temperature variation and highlighted the potential strategies for improved ARGs removal in AD.
Collapse
Affiliation(s)
- Hui Yun
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China; Gansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
| | - Bin Liang
- School of Civil & Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China.
| | - Yangcheng Ding
- Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Si Li
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China; Gansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
| | - Zhenfei Wang
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China; Gansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
| | - Aman Khan
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China; Gansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
| | - Peng Zhang
- Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China
| | - Pengyun Zhang
- Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China
| | - Aijuan Zhou
- College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Aijie Wang
- School of Civil & Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China; Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Xiangkai Li
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China; Key Laboratory for Resources Utilization Technology of Unconventional Water of Gansu Province, Gansu Academy of Membrane Science and Technology, Lanzhou 730020, China; Gansu Key Laboratory of Biomonitoring and Bioremediation for Environment Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, China.
| |
Collapse
|
18
|
Potential Environmental and Human Health Risks Caused by Antibiotic-Resistant Bacteria (ARB), Antibiotic Resistance Genes (ARGs) and Emerging Contaminants (ECs) from Municipal Solid Waste (MSW) Landfill. Antibiotics (Basel) 2021; 10:antibiotics10040374. [PMID: 33915892 PMCID: PMC8065726 DOI: 10.3390/antibiotics10040374] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/25/2021] [Accepted: 03/27/2021] [Indexed: 02/07/2023] Open
Abstract
The disposal of municipal solid waste (MSW) directly at landfills or open dump areas, without segregation and treatment, is a significant concern due to its hazardous contents of antibiotic-resistant bacteria (ARB), antibiotic resistance genes (ARGs), and metal resistance genes (MGEs). The released leachate from landfills greatly effects the soil physicochemical, biological, and groundwater properties associated with agricultural activity and human health. The abundance of ARB, ARGs, and MGEs have been reported worldwide, including MSW landfill sites, animal husbandry, wastewater, groundwater, soil, and aerosol. This review elucidates the occurrence and abundance of ARB, ARGs, and MRGs, which are regarded as emerging contaminants (ECs). Recently, ECs have received global attention because of their prevalence in leachate as a substantial threat to environmental and public health, including an economic burden for developing nations. The present review exclusively discusses the demands to develop a novel eco-friendly management strategy to combat these global issues. This review also gives an intrinsic discussion about the insights of different aspects of environmental and public health concerns caused due to massive leachate generation, the abundance of antibiotics resistance (AR), and the effects of released leachate on the various environmental reservoirs and human health. Furthermore, the current review throws light on the source and fate of different ECs of landfill leachate and their possible impact on the nearby environments (groundwater, surface water, and soil) affecting human health. The present review strongly suggests the demand for future research focuses on the advancement of the removal efficiency of contaminants with the improvement of relevant landfill management to reduce the potential effects of disposable waste. We propose the necessity of the identification and monitoring of potential environmental and human health risks associated with landfill leachate contaminants.
Collapse
|
19
|
Li B, Chen Z, Zhang F, Liu Y, Yan T. Abundance, diversity and mobility potential of antibiotic resistance genes in pristine Tibetan Plateau soil as revealed by soil metagenomics. FEMS Microbiol Ecol 2021; 96:5894923. [PMID: 32816017 DOI: 10.1093/femsec/fiaa172] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/18/2020] [Indexed: 11/14/2022] Open
Abstract
Widespread occurrence of antibiotic resistance genes (ARGs) has become an important clinical issue. Studying ARGs in pristine soil environments can help to better understand the intrinsic soil resistome. In this study, 10 soil samples were collected from a high elevation and relatively pristine Tibetan area, and metagenomic sequencing and bioinformatic analyses were conducted to investigate the microbial diversity, the abundance and diversity of ARGs and the mobility potential of ARGs as indicated by different mobile genetic elements (MGEs). A total of 48 ARG types with a relative abundance of 0.05-0.28 copies of ARG/copy of 16S rRNA genes were detected in Tibetan soil samples. The observed ARGs were mainly associated with antibiotics that included glycopeptide and rifamycin; the most abundant ARGs were vanRO and vanSO. Low abundance of MGEs and potentially plasmid-related ARGs indicated a low horizontal gene transfer risk of ARGs in the pristine soil. Pearson correlation and redundancy analyses showed that temperature and total organic carbon were the major environmental factors controlling both microbial diversity and ARG abundance and diversity.
Collapse
Affiliation(s)
- Bo Li
- Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| | - Zeng Chen
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Fan Zhang
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.,CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yongqin Liu
- Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.,CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tao Yan
- Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
| |
Collapse
|
20
|
Tang X, Shen M, Zhang Y, Zhu D, Wang H, Zhao Y, Kang Y. The changes in antibiotic resistance genes during 86 years of the soil ripening process without anthropogenic activities. CHEMOSPHERE 2021; 266:128985. [PMID: 33228990 DOI: 10.1016/j.chemosphere.2020.128985] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 10/30/2020] [Accepted: 11/12/2020] [Indexed: 06/11/2023]
Abstract
This study aimed to reveal the baseline of natural variations in antibiotic resistance genes (ARGs) in soil without anthropogenic activities over the decades. Nine soil samples with different time of soil formation were taken from the Yancheng Wetland National Nature Reserve, China. ARGs and mobile genetic elements (MGEs) were characterized using metagenomic analysis. A total of 196 and 192 subtypes of ARGs were detected in bulk soil and rhizosphere, respectively. The diversity and abundance of ARGs were stable during 69 years probably due to the alkaline pH soil environment but not due to antibiotics. Increases in ARGs after 86 years were probably attributed to more migrant birds inhabited compared with other sampling sites. Multidrug was the most abundant type, and largely shared by soil samples. It was further shown that soil samples could not be clearly distinguished, suggesting a slow process of succession of ARGs in the mudflat. The variation partitioning analysis revealed that the ARG profile was driven by the comprehensive effects exhibited by the bacterial community, MGEs, and environmental factors. Besides, pathogenic bacteria containing ARGs mediated by migrant birds in the area with 86 years of soil formation history nearing human settlements needed special attention. This study revealed the slow variations in ARGs in the soil ripening process without anthropogenic activities over decades, and it provided information for assessing the effect of human activities on the occurrence and dissemination of ARGs.
Collapse
Affiliation(s)
- Xingyao Tang
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China
| | - Min Shen
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China
| | - Yanzhou Zhang
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China
| | - Dewei Zhu
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China
| | - Huanli Wang
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China
| | - Yongqiang Zhao
- Yancheng National Nature Reserve for Rare Birds, Yancheng, Jiangsu, PR China
| | - Yijun Kang
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, PR China.
| |
Collapse
|
21
|
Zhao Z. Comparison of microbial communities and the antibiotic resistome between prawn mono- and poly-culture systems. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 207:111310. [PMID: 32937228 DOI: 10.1016/j.ecoenv.2020.111310] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/01/2020] [Accepted: 09/05/2020] [Indexed: 06/11/2023]
Abstract
Antibiotic resistance genes (ARGs) in mariculture sediments pose a potential risk to public health due to their ability to transfer from environmental bacteria to human pathogens. Long term, this may reduce pathogen susceptibility to antibiotics in medical settings. In recent years, the poly-culture of multiple species has become a popular mariculture approach in China, thanks to its environmental and economic benefits. However, differences in microbial communities and antibiotic resistome between mono- and poly-culture systems are still unclear. In this study, microbial community composition and profiles of entire (microbial DNA) and mobile (plasmid and phage) ARGs in prawn mono- and poly-culture systems were investigated using metagenomics. The abundance of several viruses and human pathogens were enhanced in prawn poly-culture ponds, when compared to monoculture systems. In contrast, sediments from poly-culture systems had a lower diversity and ARG abundance when compared to mono-culture approaches. These ARG variations were predominantly related to mobile genetic elements. Prawn mariculture activities exerted a unique selectivity for ARGs in plasmids, and this selectivity was not influenced by culture methods. The findings of this study have important implications for the selection of mariculture systems in preventing pollution with ARGs.
Collapse
Affiliation(s)
- Zelong Zhao
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, PR China.
| |
Collapse
|
22
|
Pitta DW, Indugu N, Toth JD, Bender JS, Baker LD, Hennessy ML, Vecchiarelli B, Aceto H, Dou Z. The distribution of microbiomes and resistomes across farm environments in conventional and organic dairy herds in Pennsylvania. ENVIRONMENTAL MICROBIOME 2020; 15:21. [PMID: 33902716 PMCID: PMC8066844 DOI: 10.1186/s40793-020-00368-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 11/20/2020] [Indexed: 05/07/2023]
Abstract
BACKGROUND Antimicrobial resistance is a serious concern. Although the widespread use of antimicrobials in livestock has exacerbated the emergence and dissemination of antimicrobial resistance genes (ARG) in farm environments, little is known about whether antimicrobial use affects distribution of ARG in livestock systems. This study compared the distribution of microbiomes and resistomes (collections of ARG) across different farm sectors in dairy herds that differed in their use of antimicrobials. Feces from heifers, non-lactating, and lactating cows, manure storage, and soil from three conventional (antimicrobials used to treat cows) and three organic (no antimicrobials used for at least four years) farms in Pennsylvania were sampled. Samples were extracted for genomic DNA, processed, sequenced on the Illumina NextSeq platform, and analyzed for microbial community and resistome profiles using established procedures. RESULTS Microbial communities and resistome profiles clustered by sample type across all farms. Overall, abundance and diversity of ARG in feces was significantly higher in conventional herds compared to organic herds. The ARG conferring resistance to betalactams, macrolide-lincosamide-streptogramin (MLS), and tetracyclines were significantly higher in fecal samples of dairy cows from conventional herds compared to organic herds. Regardless of farm type, all manure storage samples had greater diversity (albeit low abundance) of ARG conferring resistance to aminoglycosides, tetracyclines, MLS, multidrug resistance, and phenicol. All soil samples had lower abundance of ARG compared to feces, manure, and lagoon samples and were comprised of ARG conferring resistance to aminoglycosides, glycopeptides, and multi-drug resistance. The distribution of ARG is likely driven by the composition of microbiota in the respective sample types. CONCLUSIONS Antimicrobial use on farms significantly influenced specific groups of ARG in feces but not in manure storage or soil samples.
Collapse
Affiliation(s)
- Dipti W. Pitta
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Nagaraju Indugu
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - John D. Toth
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Joseph S. Bender
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Linda D. Baker
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Meagan L. Hennessy
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Bonnie Vecchiarelli
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Helen Aceto
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| | - Zhengxia Dou
- Department of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA USA
| |
Collapse
|
23
|
Grehs BWN, Linton MAO, Clasen B, de Oliveira Silveira A, Carissimi E. Antibiotic resistance in wastewater treatment plants: understanding the problem and future perspectives. Arch Microbiol 2020; 203:1009-1020. [PMID: 33112995 DOI: 10.1007/s00203-020-02093-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 10/02/2020] [Accepted: 10/13/2020] [Indexed: 11/26/2022]
Abstract
Antibiotics residues (AR), antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARG) are a new class of water contaminants, due to their adverse effects on aquatic ecosystems and human health. Contamination of water bodies occurs mainly by the excretion of antibiotics incompletely metabolized by humans and animals and is considered the main source of contamination of antibiotics in the environment. Given the imminent threat, the World Health Organization (WHO) has categorized the spread of antibiotics as one of the top three threats to public health in the twenty-first century. The Urban Wastewater Treatment Plants (UWWTP) bring together AR, ARB, ARG, making the understanding of this peculiar environment fundamental for the investigation of technologies aimed at combating the spread of bacterial resistance. Several methodologies have been employed focusing on reducing the ARB and ARG loads of the effluents, however the reactivation of these microorganisms after the treatment is widely reported. This work aims to elucidate the role of UWWTPs in the spread of bacterial resistance, as well as to report the efforts that have been made so far and future perspectives to combat this important global problem.
Collapse
Affiliation(s)
- Bárbara W N Grehs
- Department of Sanitary and Environmental Engineering, Federal University of Santa Maria (UFSM), Av. Roraima 1000, CT Lab, Santa Maria, RS, 97105-900, Brazil
| | - Maria A O Linton
- Department of Biology, Federal University of Santa Maria (UFSM), Av. Roraima 1000, CE, Santa Maria, RS, 97105-900, Brazil
| | - Barbara Clasen
- Department of Sanitary and Environmental Engineering, Federal University of Santa Maria (UFSM), Av. Roraima 1000, CT Lab, Santa Maria, RS, 97105-900, Brazil.
- Department of Environmental Science, State University of Rio Grande Do Sul (UERGS), R. Cipriano Barata, 211, Três Passos, RS, 98600-000, Brazil.
| | - Andressa de Oliveira Silveira
- Department of Sanitary and Environmental Engineering, Federal University of Santa Maria (UFSM), Av. Roraima 1000, CT Lab, Santa Maria, RS, 97105-900, Brazil
| | - Elvis Carissimi
- Department of Sanitary and Environmental Engineering, Federal University of Santa Maria (UFSM), Av. Roraima 1000, CT Lab, Santa Maria, RS, 97105-900, Brazil
| |
Collapse
|
24
|
Yang J, Howe A, Lee J, Yoo K, Park J. An Improved Approach to Identify Bacterial Pathogens to Human in Environmental Metagenome. J Microbiol Biotechnol 2020; 30:1335-1342. [PMID: 32627750 PMCID: PMC9728302 DOI: 10.4014/jmb.2005.05033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/08/2020] [Accepted: 06/16/2020] [Indexed: 12/15/2022]
Abstract
The identification of bacterial pathogens to humans is critical for environmental microbial risk assessment. However, current methods for identifying pathogens in environmental samples are limited in their ability to detect highly diverse bacterial communities and accurately differentiate pathogens from commensal bacteria. In the present study, we suggest an improved approach using a combination of identification results obtained from multiple databases, including the multilocus sequence typing (MLST) database, virulence factor database (VFDB), and pathosystems resource integration center (PATRIC) databases to resolve current challenges. By integrating the identification results from multiple databases, potential bacterial pathogens in metagenomes were identified and classified into eight different groups. Based on the distribution of genes in each group, we proposed an equation to calculate the metagenomic pathogen identification index (MPII) of each metagenome based on the weighted abundance of identified sequences in each database. We found that the accuracy of pathogen identification was improved by using combinations of multiple databases compared to that of individual databases. When the approach was applied to environmental metagenomes, metagenomes associated with activated sludge were estimated with higher MPII than other environments (i.e., drinking water, ocean water, ocean sediment, and freshwater sediment). The calculated MPII values were statistically distinguishable among different environments (p<0.05). These results demonstrate that the suggested approach allows more for more accurate identification of the pathogens associated with metagenomes.
Collapse
Affiliation(s)
- Jihoon Yang
- Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea,Corresponding authors J.Y. Phone: +82-2-312-5798 Fax: +82-2-312-5798 E-mail:
| | - Adina Howe
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA
| | - Jaejin Lee
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA
| | - Keunje Yoo
- Department of Environmental Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea
| | - Joonhong Park
- Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea,Corresponding authors J.Y. Phone: +82-2-312-5798 Fax: +82-2-312-5798 E-mail:
| |
Collapse
|
25
|
Choi S, Sim W, Jang D, Yoon Y, Ryu J, Oh J, Woo JS, Kim YM, Lee Y. Antibiotics in coastal aquaculture waters: Occurrence and elimination efficiency in oxidative water treatment processes. JOURNAL OF HAZARDOUS MATERIALS 2020; 396:122585. [PMID: 32298861 DOI: 10.1016/j.jhazmat.2020.122585] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/11/2020] [Accepted: 03/24/2020] [Indexed: 06/11/2023]
Abstract
The influents and effluents of coastal flow-through aquacultures in Korea were monitored for four selected antibiotics (amoxicillin-AMX, florfenicol-FLO, oxolinic acid-OXO, and oxytetracycline-OTC). A number of 177 samples were obtained from 16 aquaculture facilities for a monitoring period of two years. OTC was detected in 93 samples with a median concentration of 116 ng/L. OXO, FLO, and AMX were also detected in 36, 34, and 22 samples with median concentrations of 90, 44, and 63 ng/L, respectively. After antibiotics were applied to fish tanks, the aquaculture effluents were found to contain antibiotics up to several hundred μg/L, indicating that some control measures are required. Bench-scale experiments showed that chlorine and ozone fully eliminated AMX and OTC but not FLO at ≤2 mg/L of oxidant dosage. Reactive halogen species formed in the marine water matrix enhanced the antibiotic degradation. UV254 most effectively eliminated FLO, achieving 60-70 % elimination at 1000 mJ/cm2 of UV fluence. Sequential use of chlorine followed by UV254 demonstrated significant elimination of all four selected antibiotics. The obtained kinetic information for the reactions of these oxidants and UV with the antibiotics and marine aquaculture water constituents could be useful for designing and optimizing the aquaculture water treatment processes.
Collapse
Affiliation(s)
- Sangki Choi
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Woohyung Sim
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Dong Jang
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Younggun Yoon
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Jungmoon Ryu
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Jeongbum Oh
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Jeong-Seok Woo
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Young Mo Kim
- Department of Civil and Environmental Engineering, Hanyang University, 222 Wangsimri-ro, Seongdong-gu, Seoul, 133-791, Republic of Korea
| | - Yunho Lee
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
| |
Collapse
|
26
|
Preena PG, Swaminathan TR, Rejish Kumar VJ, Bright Singh IS. Unravelling the menace: detection of antimicrobial resistance in aquaculture. Lett Appl Microbiol 2020; 71:26-38. [PMID: 32248555 DOI: 10.1111/lam.13292] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 03/20/2020] [Accepted: 03/20/2020] [Indexed: 12/13/2022]
Abstract
One of the major problems to be addressed in aquaculture is the prominence of antimicrobial resistance (AMR). The occurrence of bacterial infections in cultured fishes promotes the continuous use of antibiotics in aquaculture, which results in the selection of proliferated antibiotic-resistant bacteria and increases the possibility of transfer to the whole environment through horizontal gene transfer. Hence, the accurate cultivation-dependent and cultivation-independent detection methods are very much crucial for the immediate and proper management of this menace. Antimicrobial resistance determinants carrying mobile genetic transfer elements such as transposons, plasmids, integrons and gene cassettes need to be specifically analysed through molecular detection techniques. The susceptibility of microbes to antibiotics should be tested at regular intervals along with various biochemical assays and conjugation studies so as to determine the extent of spread of AMR. Advanced omic-based and bioinformatic tools can also be incorporated for understanding of genetic diversity. The present review focuses on different detection methods to unearth the complexity of AMR in aquaculture. This monitoring helps the authorities to curb the use of antibiotics, commencement of appropriate management measures and adequate substitute strategies in aquaculture. The long battle of AMR could be overcome by the sincere implementation of One Health approach. SIGNIFICANCE AND IMPACT OF THE STUDY: The use of antibiotics and increased antimicrobial resistance (AMR) are of major concerns in aquaculture industry. This could result in global health risks through direct consumption of cultured fishes and dissemination of AMR to natural environment through horizontal gene transfer. Hence, timely detection of the antimicrobial-resistant pathogens and continuous monitoring programmes are inevitable. Advanced microbiological, molecular biological and omic-based tools can unravel the menace to a great extent. This will help the authorities to curb the use of antibiotics and implement appropriate management measures to overcome the threat.
Collapse
Affiliation(s)
- P G Preena
- National Centre for Aquatic Animal Health, Cochin University of Science and Technology, Kochi, India
| | - T Raja Swaminathan
- Peninsular and Marine Fish Genetic Resources Centre of ICAR-NBFGR, CMFRI Campus, Kochi, India
| | - V J Rejish Kumar
- Department of Aquaculture, Kerala University of Fisheries and Ocean Studies, Kochi, India
| | - I S Bright Singh
- National Centre for Aquatic Animal Health, Cochin University of Science and Technology, Kochi, India
| |
Collapse
|
27
|
Segatore B, Piccirilli A, Setacci D, Cicolani B, Di Sabatino A, Miccoli FP, Perilli M, Amicosante G. First Identification of β-Lactamases in Antibiotic-Resistant Escherichia coli, Citrobacter freundii, and Aeromonas spp. Isolated in Stream Macroinvertebrates in a Central Italian Region. Microb Drug Resist 2020; 26:976-981. [PMID: 32101080 DOI: 10.1089/mdr.2019.0258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Antibiotic-resistant bacteria (ARB) are widespread in nature and represent a serious public and environmental problem. In the present study, we report for the first time the presence of bacterial β-lactamases in two macroinvertebrate species with different feeding traits. The class A β-lactamases, SHV-1 and TEM-1, were found in Citrobacter freundii isolated from Gammarus elvirae and Escherichia coli from water samples, respectively. The metallo-β-lactamase CphA was found in Aeromonas veronii and Aeromonas hydrophila strains isolated from the predator Dina lineata. The presence of a large plasmid was ascertained only in E. coli strains isolated from water. In all strains studied, an integrase I typical of class I integrin was found. In contaminated freshwater habitats, ARB and antibiotic resistance genes could be disseminated through trophic links with important ecological implications. Transmission through the food chain may contribute to spreading and transferring antibiotic resistance not only in freshwater ecosystems but also outside the aquatic habitat.
Collapse
Affiliation(s)
- Bernardetta Segatore
- Department of Biotechnological and Applied Clinical Sciences, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Alessandra Piccirilli
- Department of Biotechnological and Applied Clinical Sciences, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Domenico Setacci
- Department of Biotechnological and Applied Clinical Sciences, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Bruno Cicolani
- Department of Civil, Construction-Architectural and Environmental Engineering, and Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Di Sabatino
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesco Paolo Miccoli
- Department of Civil, Construction-Architectural and Environmental Engineering, and Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Mariagrazia Perilli
- Department of Biotechnological and Applied Clinical Sciences, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Gianfranco Amicosante
- Department of Biotechnological and Applied Clinical Sciences, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| |
Collapse
|
28
|
Molecular investigation of integron types and imipenem-resistance encoded genes in Acinetobacter baumannii strains isolated from burns patients in Iran. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
29
|
Jia S, Wu J, Ye L, Zhao F, Li T, Zhang XX. Metagenomic assembly provides a deep insight into the antibiotic resistome alteration induced by drinking water chlorination and its correlations with bacterial host changes. JOURNAL OF HAZARDOUS MATERIALS 2019; 379:120841. [PMID: 31279312 DOI: 10.1016/j.jhazmat.2019.120841] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 04/09/2019] [Accepted: 06/26/2019] [Indexed: 05/21/2023]
Abstract
Chlorination can contribute to the enrichment of specific antibiotic resistance genes (ARGs) in drinking water, but the underlying molecular ecological mechanisms remain unknown, which may hinder the assessment and control of the resulting health risks. In this study, metagenomic assembly and Resfams annotation were used to profile the co-occurrence patterns of ARGs, mobile genetic elements (MGEs) and their bacterial hosts, as well as the correlations of potential pathogens with the antibiotic resistome, in a full-scale drinking water treatment and transportation system. Seven ARG types involved in different resistance mechanisms occurred in drinking water and chlorination enhanced the total abundance of the ARGs (p < 0.05). The ARGs encoding resistance-nodulation-cell division and ATP-binding cassette antibiotic efflux pumps predominated in all the samples and were primarily responsible for the ARG accumulation. After chlorination, the ARGs were primarily carried by predominant Sphingomonas, Polaromonas, Hyphomicrobium, Acidovorax, Pseudomonas and Fluviicola. Further, enrichment of the bacterial hosts and MGEs greatly contributed to alteration of the antibiotic resistome. Pseudomonas alcaligenes, carrying multiple ARGs, was identified as a potential pathogen in the chlorinated drinking water. These findings provide novel insights into the host-ARG relationship and the mechanism underlying the resistome alteration during drinking water chlorination.
Collapse
Affiliation(s)
- Shuyu Jia
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jialu Wu
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Lin Ye
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Fuzheng Zhao
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Tong Li
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xu-Xiang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing 210023, China.
| |
Collapse
|
30
|
Regulatory Mechanisms of the LuxS/AI-2 System and Bacterial Resistance. Antimicrob Agents Chemother 2019; 63:AAC.01186-19. [PMID: 31383657 DOI: 10.1128/aac.01186-19] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The quorum-sensing (QS) system is an intercellular cell-cell communication mechanism that controls the expression of genes involved in a variety of cellular processes and that plays critical roles in the adaption and survival of bacteria in their environment. The LuxS/AI-2 QS system, which uses AI-2 (autoinducer-2) as a signal molecule, has been identified in both Gram-negative and Gram-positive bacteria. As one of the important global regulatory networks in bacteria, it responds to fluctuations in the numbers of bacteria and regulates the expression of a number of genes, thus affecting cell behavior. We summarize here the known relationships between the LuxS/AI-2 system and drug resistance, discuss the inhibition of LuxS/AI-2 system as an approach to prevent bacterial resistance, and present new strategies for the treatment of drug-resistant pathogens.
Collapse
|
31
|
Magesh S, Jonsson V, Bengtsson-Palme J. Mumame: a software tool for quantifying gene-specific point-mutations in shotgun metagenomic data. METABARCODING AND METAGENOMICS 2019. [DOI: 10.3897/mbmg.3.36236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Metagenomics has emerged as a central technique for studying the structure and function of microbial communities. Often the functional analysis is restricted to classification into broad functional categories. However, important phenotypic differences, such as resistance to antibiotics, are often the result of just one or a few point mutations in otherwise identical sequences. Bioinformatic methods for metagenomic analysis have generally been poor at accounting for this fact, resulting in a somewhat limited picture of important aspects of microbial communities. Here, we address this problem by providing a software tool called Mumame, which can distinguish between wildtype and mutated sequences in shotgun metagenomic data and quantify their relative abundances. We demonstrate the utility of the tool by quantifying antibiotic resistance mutations in several publicly available metagenomic data sets. We also identified that sequencing depth is a key factor to detect rare mutations. Therefore, much larger numbers of sequences may be required for reliable detection of mutations than for most other applications of shotgun metagenomics. Mumame is freely available online (http://microbiology.se/software/mumame).
Collapse
|
32
|
Van TTH, Yidana Z, Smooker PM, Coloe PJ. Antibiotic use in food animals worldwide, with a focus on Africa: Pluses and minuses. J Glob Antimicrob Resist 2019; 20:170-177. [PMID: 31401170 DOI: 10.1016/j.jgar.2019.07.031] [Citation(s) in RCA: 185] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/31/2019] [Accepted: 07/31/2019] [Indexed: 10/26/2022] Open
Abstract
Antibiotics are frequently used in food animal production in developing countries to promote the well-being and growth of animals. This practice provides some economic benefits to producers and consumers at large. Nevertheless, this practice is also associated with a number of concerns. A major concern has been that repeatedly exposing these animals to small doses of antibiotics contributes significantly to antimicrobial resistance, since a good fraction of the antibiotics used are the same or surrogates of antibiotics used in human therapeutic practices. Studies over decades have shown an explicit relationship between antimicrobial use and antimicrobial resistance in veterinary science. Many antibiotics can be purchased over the counter in African countries, and antibiotic resistance is an important issue to address in this region. This review examines some of the risks and benefits associated with antibiotic use in food animals. We conclude that the use of antibiotics in food animal production constitutes a major contributing factor to the current antimicrobial resistance crisis and that antibiotics should only be used for the treatment of sick animals based on prior diagnosis of disease.
Collapse
Affiliation(s)
- Thi Thu Hao Van
- Biosciences & Food Technology Discipline, School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Zuwera Yidana
- Biosciences & Food Technology Discipline, School of Science, RMIT University, Melbourne, Victoria, Australia; Kintampo Health Research Centre, Kintampo, Ghana
| | - Peter M Smooker
- Biosciences & Food Technology Discipline, School of Science, RMIT University, Melbourne, Victoria, Australia.
| | - Peter J Coloe
- College of Science, Engineering and Health, RMIT University, Melbourne, Victoria, Australia
| |
Collapse
|
33
|
Liu K, Han J, Li S, Liu L, Lin W, Luo J. Insight into the diversity of antibiotic resistance genes in the intestinal bacteria of shrimp Penaeus vannamei by culture-dependent and independent approaches. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 172:451-459. [PMID: 30735978 DOI: 10.1016/j.ecoenv.2019.01.109] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 01/28/2019] [Accepted: 01/30/2019] [Indexed: 06/09/2023]
Abstract
Antibiotic resistance genes (ARGs) that distributed in antibiotic resistant bacteria (ARBs) are widespread in aquaculture and have great threats to the aquatic organism as well as to human. However, our understanding about the risk of ARGs to the health of aquatic organism is still limited. In the present study, we got a deep insight into the diversity of ARGs in the intestinal bacteria of shrimp by culture-dependent and independent approaches. Results of the PCR-based detection and culture-dependent analysis indicated that the tetracycline, sulfadiazine, quinolone and erythromycin resistance genes were prevalent in the commercial shrimps that bought from aquatic markets or supermarket. The culture-independent plasmid metagenomic analysis identified 62 different ARGs, which were classified into 21 types, with abundances ranging from 13 to 1418 ppm. The analysis suggested that most of the ARGs come from the plasmids originating from Vibrio (accounted for 2.8-51%) and Aeromonas (accounted for 16-55%), and the Vibrio group was concluded to be the main bacterial pathogen that probably resulted in the shrimp disease. Accordingly, the plasmid metagenomic that focuses on the mobile genetic elements has great potential on the identification of ARGs in complex environments.
Collapse
Affiliation(s)
- Kexin Liu
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China
| | - Jiamin Han
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China
| | - Surong Li
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China
| | - Liangting Liu
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China
| | - Weitie Lin
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China.
| | - Jianfei Luo
- Guangdong Key Laboratory of Fermentation and Enzyme Engineering, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, PR China.
| |
Collapse
|
34
|
Tong J, Lu X, Zhang J, Angelidaki I, Wei Y. Factors influencing the fate of antibiotic resistance genes during thermochemical pretreatment and anaerobic digestion of pharmaceutical waste sludge. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 243:1403-1413. [PMID: 30278414 DOI: 10.1016/j.envpol.2018.09.096] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 09/17/2018] [Accepted: 09/19/2018] [Indexed: 05/16/2023]
Abstract
The prevalence of antibiotic resistance genes (ARGs) in waste sludge, especially for the pharmaceutical waste sludge, presents great potential risks to human health. Although ARGs and factors affecting their spreading are of major importance for human health, the factors influencing the fate of ARGs during sludge treatment, especially for pharmaceutical sludge treatment are not yet well understood. In order to be able to minimize ARGs spreading, it is important to find what is influencing their spreading. Therefore, certain factors, such as the sludge characteristics, bacterial diversity and community composition, and mobile genetic elements (MGEs) during the advanced AD of pharmaceutical sludge with different pretreatments were studied, and their affinity with ARGs was elucidated by Spearman correlation analysis. Furthermore, multiple linear regression was introduced to evaluate the importance of the various factors. Results showed that 59.7%-88.3% of the variations in individual ARGs and total ARGs can be explained by the corresponding factors. Bacterial diversity rather than specific bacterial community composition affected the fate of ARGs, whereas alkalinity was the most important factor on ARGs among all sludge characteristics investigated in this study. Besides, 66.4% of variation of total ARGs was driven by the changes of MGEs. Multiple linear regression models also reveal the collective effect of these factors on ARGs, and the contributions of each factor impact on ARGs. This study provides more comprehension about the factors impact on the fate of ARGs during pharmaceutical sludge treatment, and offers an approach to evaluate the importance of each factor, which method could be introduced for evaluation of factors influencing ARGs during other types of sludge or wastewater treatment.
Collapse
Affiliation(s)
- Juan Tong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Department of Water Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Xueting Lu
- Department of Water Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Junya Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Department of Water Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
| | - Irini Angelidaki
- Department of Environmental Engineering, Technical University of Denmark, Copenhagen Lyngby, 2800, Denmark
| | - Yuansong Wei
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Department of Water Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
| |
Collapse
|
35
|
Hong B, Ba Y, Niu L, Lou F, Zhang Z, Liu H, Pan Y, Zhao Y. A Comprehensive Research on Antibiotic Resistance Genes in Microbiota of Aquatic Animals. Front Microbiol 2018; 9:1617. [PMID: 30093887 PMCID: PMC6070771 DOI: 10.3389/fmicb.2018.01617] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 06/28/2018] [Indexed: 11/13/2022] Open
Abstract
The occurrence of antibiotic resistance genes (ARGs) as emerging contaminants is of continued concern for human health. Antibiotics used in aquaculture have promoted the evolution and spread of ARGs. This study aimed to investigate the occurrence of 37 ARGs conferring resistance to six classes of antibiotics in 94 aquatic animals from five cities in southeast coast of China. The results showed that floR, sulII, sulI, strB, strA, aadA, and tetS were identified as the prominent ARGs with the high detection frequencies ranging from 30.9 to 51.1% in total samples. Then relative expression amount of seven prominent ARGs quantified by qPCR, ranging from 0.003 to 0.065. The tetS was the most abundant ARG among the seven ARGs. Though aadA was the second highest detection frequency of ARGs, it was the lowest expression amount ARG. The occurrences and abundances of ARGs in freshwater aquatic animals were greater than those in marine, reflecting the discrepancy of cultivation pattern between the freshwater and marine aquaculture. Shanghai was considered as the most prevalent site with 16 ARGs, and Ningbo merely contained 9 ARGs without of β-lactam ARGs and quinolone ARGs, showing variations of ARGs with geographical location. Eight kinds of sulfonamides and one chloramphenicol residues were further measured in samples from Shanghai. Interestingly, no target antibiotics were found, but sulfonamides resistance genes (sulI, sulII) and chloramphenicol resistance genes (floR) persisted at aquatic animals in the absence of selection pressure. Our research firstly shows comprehensive information on the ARGs in skin microbiota of aquatic animals, which could provide useful information and a new insight for better understanding on the ARGs dissemination in aquatic animals.
Collapse
Affiliation(s)
- Bin Hong
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Yongbing Ba
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Li Niu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Fei Lou
- Agri-Products Quality and Safety Testing Center of Shanghai, Shanghai, China
| | - Zhaohuan Zhang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Haiquan Liu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.,Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai, China.,Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai, China.,Engineering Research Center of Food Thermal-Processing Technology, Shanghai Ocean University, Shanghai, China
| | - Yingjie Pan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.,Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai, China.,Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai, China
| | - Yong Zhao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.,Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai, China.,Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai, China
| |
Collapse
|
36
|
Imchen M, Kumavath R, Barh D, Vaz A, Góes-Neto A, Tiwari S, Ghosh P, Wattam AR, Azevedo V. Comparative mangrove metagenome reveals global prevalence of heavy metals and antibiotic resistome across different ecosystems. Sci Rep 2018; 8:11187. [PMID: 30046123 PMCID: PMC6060162 DOI: 10.1038/s41598-018-29521-4] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 07/13/2018] [Indexed: 12/17/2022] Open
Abstract
The mangrove ecosystem harbors a complex microbial community that plays crucial role in biogeochemical cycles. In this study, we analyzed mangrove sediments from India using de novo whole metagenome next generation sequencing (NGS) and compared their taxonomic and functional community structures to mangrove metagenomics samples from Brazil and Saudi Arabia. The most abundant phyla in the mangroves of all three countries was Proteobacteria, followed by Firmicutes and Bacteroidetes. A total of 1,942 genes were found to be common across all the mangrove sediments from each of the three countries. The mangrove resistome consistently showed high resistance to fluoroquinolone and acriflavine. A comparative study of the mangrove resistome with other ecosystems shows a higher frequency of heavy metal resistance in mangrove and terrestrial samples. Ocean samples had a higher abundance of drug resistance genes with fluoroquinolone and methicillin resistance genes being as high as 28.178% ± 3.619 and 10.776% ± 1.823. Genes involved in cobalt-zinc-cadmium resistance were higher in the mangrove (23.495% ± 4.701) and terrestrial (27.479% ± 4.605) ecosystems. Our comparative analysis of samples collected from a variety of habitats shows that genes involved in resistance to both heavy metals and antibiotics are ubiquitous, irrespective of the ecosystem examined.
Collapse
Affiliation(s)
- Madangchanok Imchen
- Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Tejaswini Hills, Periya P.O, Kasaragod, Kerala, 671316, India
| | - Ranjith Kumavath
- Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Tejaswini Hills, Periya P.O, Kasaragod, Kerala, 671316, India.
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, West Bengal, India.,Division of Bioinformatics and Computational Genomics, NITTE University Center for Science Education and Research (NUCSER), NITTE (Deemed to be University), Deralakatte, Mangaluru, Karnataka, India.,Laboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas (ICB), Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, Minas Gerais, Brazil
| | - Aline Vaz
- Molecular and Computational Biology of Fungi Laboratory, Department of Microbiology, Institute of Biological Sciences (ICB), Federal University of Minas Gerais (UFMG), Pampulha, Belo Horizonte, Minas Gerais, Brazil
| | - Aristóteles Góes-Neto
- Molecular and Computational Biology of Fungi Laboratory, Department of Microbiology, Institute of Biological Sciences (ICB), Federal University of Minas Gerais (UFMG), Pampulha, Belo Horizonte, Minas Gerais, Brazil
| | - Sandeep Tiwari
- Laboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas (ICB), Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, Minas Gerais, Brazil
| | - Preetam Ghosh
- Department of Computer Science Virginia Commonwealth University, Virginia, 23284, USA
| | - Alice R Wattam
- Biocomplexity Institute, Virginia Tech University, Blacksburg, Virginia, 24061, USA
| | - Vasco Azevedo
- Laboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas (ICB), Universidade Federal de Minas Gerais, Pampulha, Belo Horizonte, Minas Gerais, Brazil
| |
Collapse
|
37
|
Bengtsson-Palme J, Larsson DGJ, Kristiansson E. Using metagenomics to investigate human and environmental resistomes. J Antimicrob Chemother 2018; 72:2690-2703. [PMID: 28673041 DOI: 10.1093/jac/dkx199] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Antibiotic resistance is a global health concern declared by the WHO as one of the largest threats to modern healthcare. In recent years, metagenomic DNA sequencing has started to be applied as a tool to study antibiotic resistance in different environments, including the human microbiota. However, a multitude of methods exist for metagenomic data analysis, and not all methods are suitable for the investigation of resistance genes, particularly if the desired outcome is an assessment of risks to human health. In this review, we outline the current state of methods for sequence handling, mapping to databases of resistance genes, statistical analysis and metagenomic assembly. In addition, we provide an overview of important considerations related to the analysis of resistance genes, and recommend some of the currently used tools and methods that are best equipped to inform research and clinical practice related to antibiotic resistance.
Collapse
Affiliation(s)
- Johan Bengtsson-Palme
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, SE-41346, Gothenburg, Sweden.,Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Box 440, SE-40530, Gothenburg, Sweden
| | - D G Joakim Larsson
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, SE-41346, Gothenburg, Sweden.,Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Box 440, SE-40530, Gothenburg, Sweden
| | - Erik Kristiansson
- Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Box 440, SE-40530, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, SE-41296, Gothenburg, Sweden
| |
Collapse
|
38
|
Uyaguari-Díaz MI, Croxen MA, Luo Z, Cronin KI, Chan M, Baticados WN, Nesbitt MJ, Li S, Miller KM, Dooley D, Hsiao W, Isaac-Renton JL, Tang P, Prystajecky N. Human Activity Determines the Presence of Integron-Associated and Antibiotic Resistance Genes in Southwestern British Columbia. Front Microbiol 2018; 9:852. [PMID: 29765365 PMCID: PMC5938356 DOI: 10.3389/fmicb.2018.00852] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 04/13/2018] [Indexed: 01/08/2023] Open
Abstract
The dissemination of antibiotic resistant bacteria from anthropogenic sources into the environment poses an emerging public health threat. Antibiotic resistance genes (ARGs) and gene-capturing systems such as integron-associated integrase genes (intI) play a key role in alterations of microbial communities and the spread of antibiotic resistant bacteria into the environment. In order to assess the effect of anthropogenic activities on watersheds in southwestern British Columbia, the presence of putative antibiotic resistance and integrase genes was analyzed in the microbiome of agricultural, urban influenced, and protected watersheds. A metagenomics approach and high-throughput quantitative PCR (HT qPCR) were used to screen for elements of resistance including ARGs and intI. Metagenomic sequencing of bacterial genomic DNA was used to characterize the resistome of microbial communities present in watersheds over a 1-year period. There was a low prevalence of ARGs relative to the microbial population (<1%). Analysis of the metagenomic sequences detected a total of 60 elements of resistance including 46 ARGs, intI1, and groEL/intI1 genes and 12 quaternary ammonium compounds (qac) resistance genes across all watershed locations. The relative abundance and richness of ARGs was found to be highest in agriculture impacted watersheds compared to urban and protected watersheds. A downstream transport pattern was observed in the impacted watersheds (urban and agricultural) during dry months. Similar to other reports, this study found a strong association between intI1 and ARGs (e.g., sul1), an association which may be used as a proxy for anthropogenic activities. Chemical analysis of water samples for three major groups of antibiotics was below the detection limit. However, the high richness and gene copy numbers (GCNs) of ARGs in impacted sites suggest that the effects of effluents on microbial communities are occurring even at low concentrations of antimicrobials in the water column. Antibiotic resistance and integrase genes in a year-long metagenomic study showed that ARGs were driven mainly by environmental factors from anthropogenized sites in agriculture and urban watersheds. Environmental factors such as land-use and water quality parameters accounted for 45% of the variability observed in watershed locations.
Collapse
Affiliation(s)
- Miguel I Uyaguari-Díaz
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.,BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Matthew A Croxen
- Provincial Laboratory for Public Health, Edmonton, AB, Canada.,Department of Laboratory Medicine and Pathology, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Zhiyao Luo
- BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Kirby I Cronin
- Laboratory Services, Public Health Ontario, Toronto, ON, Canada.,National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Michael Chan
- BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Waren N Baticados
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | | | - Shaorong Li
- Pacific Biological Station, Nanaimo, BC, Canada
| | | | - Damion Dooley
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - William Hsiao
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.,BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Judith L Isaac-Renton
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.,BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| | - Patrick Tang
- Department of Pathology, Sidra Medical and Research Center, Doha, Qatar
| | - Natalie Prystajecky
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.,BC Centre for Disease Control Public Health Laboratory, Vancouver, BC, Canada
| |
Collapse
|
39
|
Chen B, Lin L, Fang L, Yang Y, Chen E, Yuan K, Zou S, Wang X, Luan T. Complex pollution of antibiotic resistance genes due to beta-lactam and aminoglycoside use in aquaculture farming. WATER RESEARCH 2018; 134:200-208. [PMID: 29427962 DOI: 10.1016/j.watres.2018.02.003] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 01/14/2018] [Accepted: 02/01/2018] [Indexed: 05/26/2023]
Abstract
The prevalence of antibiotic resistance in the modern world has raised global concerns for public health. Establishing relationships between antibiotic use and antibiotic resistance genes (ARGs) is essential to understanding the dissemination and accumulation of ARGs in a human-impacted environment. In this study, ARG profiles in the sediments from a bullfrog farm, where penicillin and amoxicillin (beta-lactams) and gentamicin (aminoglycoside) were used for prophylactic purposes, were analyzed using metagenomic approaches. Analysis of both extracellular and intracellular DNA (eDNA and iDNA) demonstrated that use of the above-mentioned antibiotics led to complex pollution of ARGs not only related to beta-lactams and aminoglycoside but also to sulfonamides, tetracyclines, and macrolides. Most of the ARGs in the sediments from the bullfrog farm were likely carried by plasmids. A significant correlation was observed between the total abundance of ARG-related plasmids and that of plasmid-carrying ARGs. Approximately 85% of the plasmids likely present in the sediment from the bullfrog farm possessed at least 3 ARG subtypes, which conferred the resistance of bacterial hosts to different antibiotic categories. Our results suggest that antibiotics could lead to complex pollution of ARGs unrelated to those administered due to the concurrence of ARGs in the plasmids.
Collapse
Affiliation(s)
- Baowei Chen
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Lan Lin
- Zhujiang Hospital of Southern Medical University, Guangzhou 510282, China
| | - Ling Fang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Ying Yang
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Enzhong Chen
- Zhujiang Hospital of Southern Medical University, Guangzhou 510282, China
| | - Ke Yuan
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Shichun Zou
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Xiaowei Wang
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China.
| | - Tiangang Luan
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China; School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| |
Collapse
|
40
|
Su HC, Liu YS, Pan CG, Chen J, He LY, Ying GG. Persistence of antibiotic resistance genes and bacterial community changes in drinking water treatment system: From drinking water source to tap water. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 616-617:453-461. [PMID: 29127799 DOI: 10.1016/j.scitotenv.2017.10.318] [Citation(s) in RCA: 164] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 10/30/2017] [Accepted: 10/30/2017] [Indexed: 06/07/2023]
Abstract
As emerging contaminants, antibiotic resistance genes (ARGs) have become a public concern. This study aimed to investigate the occurrence and diversity of ARGs, and variation in the composition of bacterial communities in source water, drinking water treatment plants, and tap water in the Pearl River Delta region, South China. Various ARGs were present in the different types of water. Among the 27 target ARGs, floR and sul1 dominated in source water from three large rivers in the region. Pearson correlation analysis suggested that sul1, sul2, floR, and cmlA could be potential indicators for ARGs in water samples. The total abundance of the detected ARGs in tap water was much lower than that in source water. Sand filtration and sedimentation in drinking water treatment plants could effectively remove ARGs; in contrast, granular activated carbon filtration increased the abundance of ARGs. It was found that Pseudomonas may be involved in the proliferation and dissemination of ARGs in the studied drinking water treatment system. Bacteria and ARGs were still present in tap water after treatment, though they were significantly reduced. More research is needed to optimize the water treatment process for ARG removal.
Collapse
Affiliation(s)
- Hao-Chang Su
- South China Sea Bio-Resource Exploitation and Utilization Collaborative Innovation Center, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China; State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - You-Sheng Liu
- State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Chang-Gui Pan
- State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Jun Chen
- State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Liang-Ying He
- State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Guang-Guo Ying
- State Key Laboratory of Organic Geochemistry, CAS Centre for Pearl River Delta Environmental Pollution and Control Research, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; The Environmental Research Institute, MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou 510006, China.
| |
Collapse
|
41
|
Jang HM, Kim YB, Choi S, Lee Y, Shin SG, Unno T, Kim YM. Prevalence of antibiotic resistance genes from effluent of coastal aquaculture, South Korea. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 233:1049-1057. [PMID: 29031406 DOI: 10.1016/j.envpol.2017.10.006] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 09/01/2017] [Accepted: 10/03/2017] [Indexed: 06/07/2023]
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), β-lactams resistance (blaTEM, blaCTX, blaSHV), macrolide resistance (ermC), florfenicol resistance (floR) 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 × 10-3 to 1.46 × 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 sul1. Microbial community analysis revealed potential host bacteria for ARGs and intI1. Two genera, Vibrio and Marinomonas belonging to Gammaproteobacteria, 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.
Collapse
Affiliation(s)
- Hyun Min Jang
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Buk-gu, Gwangju 500-712, South Korea
| | - Young Beom Kim
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Buk-gu, Gwangju 500-712, South Korea
| | - Sangki Choi
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Buk-gu, Gwangju 500-712, South Korea
| | - Yunho Lee
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Buk-gu, Gwangju 500-712, South Korea
| | - Seung Gu Shin
- Department of Energy Engineering, Gyeongnam National University of Science and Technology, Jinju, Gyeongnam, South Korea
| | - Tatsuya Unno
- Faculty of Biotechnology, College of Applied Life Sciences, SARI, Jeju National University, Jeju 690-756, South Korea
| | - Young Mo Kim
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Buk-gu, Gwangju 500-712, South Korea.
| |
Collapse
|
42
|
Huang H, Zheng X, Chen Y, Liu H, Wan R, Su Y. Alkaline fermentation of waste sludge causes a significant reduction of antibiotic resistance genes in anaerobic reactors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 580:380-387. [PMID: 28011019 DOI: 10.1016/j.scitotenv.2016.11.186] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 11/22/2016] [Accepted: 11/25/2016] [Indexed: 06/06/2023]
Abstract
Alkaline fermentation has been reported to be an effective method to recover valuable products from waste sludge. However, to date, the potential effect of alkaline pH on the fate of antibiotic resistance genes (ARGs) during anaerobic fermentation of sludge has never been documented. In this study, the target ARGs in sludge was observed to be removed effectively and stably when sludge was anaerobically fermented at pH10. Compared with the control (without pH adjustment), the abundances of target ARGs at pH10 were reduced by 0.87 (sulI), 1.36 (sulII), 0.42 (tet(O)), 1.11 (tet(Q)), 0.79 (tet(C)) and 1.04 (tet(X)) log units. Further investigations revealed that alkaline fermentation shifted the community structures of potential ARGs hosts. Moreover, alkaline fermentation remarkably decreased the quantities and the ARGs-possessing ability of genetic vectors (plasmid DNA, extracellular DNA and phage DNA), which might limit the transfer of ARGs via conjugation, transformation and transduction. These results suggest that the shifted compositions of gene hosts and restricted gene transfer potential might be the critical reasons for the attenuation of ARGs at pH10.
Collapse
Affiliation(s)
- Haining Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Xiong Zheng
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Yinguang Chen
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China.
| | - Hui Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Rui Wan
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Yinglong Su
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| |
Collapse
|
43
|
Dos Santos DFK, Istvan P, Quirino BF, Kruger RH. Functional Metagenomics as a Tool for Identification of New Antibiotic Resistance Genes from Natural Environments. MICROBIAL ECOLOGY 2017; 73:479-491. [PMID: 27709246 DOI: 10.1007/s00248-016-0866-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 09/19/2016] [Indexed: 05/26/2023]
Abstract
Antibiotic resistance has become a major concern for human and animal health, as therapeutic alternatives to treat multidrug-resistant microorganisms are rapidly dwindling. The problem is compounded by low investment in antibiotic research and lack of new effective antimicrobial drugs on the market. Exploring environmental antibiotic resistance genes (ARGs) will help us to better understand bacterial resistance mechanisms, which may be the key to identifying new drug targets. Because most environment-associated microorganisms are not yet cultivable, culture-independent techniques are essential to determine which organisms are present in a given environmental sample and allow the assessment and utilization of the genetic wealth they represent. Metagenomics represents a powerful tool to achieve these goals using sequence-based and functional-based approaches. Functional metagenomic approaches are particularly well suited to the identification new ARGs from natural environments because, unlike sequence-based approaches, they do not require previous knowledge of these genes. This review discusses functional metagenomics-based ARG research and describes new possibilities for surveying the resistome in environmental samples.
Collapse
Affiliation(s)
| | - Paula Istvan
- Departamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil
| | - Betania Ferraz Quirino
- Embrapa-Agroenergia, Brasília, DF, Brazil
- Universidade Católica de Brasília, Genomic Sciences and Biotechnology Program, Brasília, DF, Brazil
| | | |
Collapse
|
44
|
Jonsson V, Österlund T, Nerman O, Kristiansson E. Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant Genes. J Comput Biol 2016; 24:311-326. [PMID: 27892712 DOI: 10.1089/cmb.2016.0180] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Metagenomics is the study of microorganisms in environmental and clinical samples using high-throughput sequencing of random fragments of their DNA. Since metagenomics does not require any prior culturing of isolates, entire microbial communities can be studied directly in their natural state. In metagenomics, the abundance of genes is quantified by sorting and counting the DNA fragments. The resulting count data are high-dimensional and affected by high levels of technical and biological noise that make the statistical analysis challenging. In this article, we introduce an hierarchical overdispersed Poisson model to explore the variability in metagenomic data. By analyzing three comprehensive data sets, we show that the gene-specific variability varies substantially between genes and is dependent on biological function. We also assess the power of identifying differentially abundant genes and show that incorrect assumptions about the gene-specific variability can lead to unacceptable high rates of false positives. Finally, we evaluate shrinkage approaches to improve the variance estimation and show that the prior choice significantly affects the statistical power. The results presented in this study further elucidate the complex variance structure of metagenomic data and provide suggestions for accurate and reliable identification of differentially abundant genes.
Collapse
Affiliation(s)
- Viktor Jonsson
- 1 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg , Gothenburg, Sweden .,2 Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Gothenburg, Sweden
| | - Tobias Österlund
- 1 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg , Gothenburg, Sweden .,2 Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Gothenburg, Sweden
| | - Olle Nerman
- 1 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg , Gothenburg, Sweden
| | - Erik Kristiansson
- 1 Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg , Gothenburg, Sweden .,2 Centre for Antibiotic Resistance Research (CARe) at University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
45
|
Adu-Oppong B, Gasparrini AJ, Dantas G. Genomic and functional techniques to mine the microbiome for novel antimicrobials and antimicrobial resistance genes. Ann N Y Acad Sci 2016; 1388:42-58. [PMID: 27768825 DOI: 10.1111/nyas.13257] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 08/16/2016] [Accepted: 08/22/2016] [Indexed: 02/07/2023]
Abstract
Microbial communities contain diverse bacteria that play important roles in every environment. Advances in sequencing and computational methodologies over the past decades have illuminated the phylogenetic and functional diversity of microbial communities from diverse habitats. Among the activities encoded in microbiomes are the abilities to synthesize and resist small molecules, yielding antimicrobial activity. These functions are of particular interest when viewed in light of the public health emergency posed by the increase in clinical antimicrobial resistance and the dwindling antimicrobial discovery and approval pipeline, and given the intimate ecological and evolutionary relationship between antimicrobial biosynthesis and resistance. Here, we review genomic and functional methods that have been developed for accessing the antimicrobial biosynthesis and resistance capacity of microbiomes and highlight outstanding examples of their applications.
Collapse
Affiliation(s)
- Boahemaa Adu-Oppong
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri
| | - Andrew J Gasparrini
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri
| | - Gautam Dantas
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri.,Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri.,Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.,Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri
| |
Collapse
|
46
|
Sun W, Qian X, Gu J, Wang XJ, Duan ML. Mechanism and Effect of Temperature on Variations in Antibiotic Resistance Genes during Anaerobic Digestion of Dairy Manure. Sci Rep 2016; 6:30237. [PMID: 27444518 PMCID: PMC4957233 DOI: 10.1038/srep30237] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 07/01/2016] [Indexed: 01/10/2023] Open
Abstract
Animal manure comprises an important reservoir for antibiotic resistance genes (ARGs), but the variation in ARGs during anaerobic digestion at various temperatures and its underlying mechanism remain unclear. Thus, we performed anaerobic digestion using dairy manure at three temperature levels (moderate: 20 °C, mesophilic: 35 °C, and thermophilic: 55 °C), to analyze the dynamics of ARGs and bacterial communities by quantitative PCR and 16S rRNA gene sequencing. We found that 8/10 detected ARGs declined and 5/10 decreased more than 1.0 log during thermophilic digestion, whereas only four and five ARGs decreased during moderate and mesophilic digestion, respectively. The changes in ARGs and bacterial communities were similar under the moderate and mesophilic treatments, but distinct from those in the thermophilic system. Potential pathogens such as Bacteroidetes, Proteobacteria, and Corynebacterium were removed by thermophilic digestion but not by moderate and mesophilic digestion. The bacterial community succession was the dominant mechanism that influenced the variation in ARGs and integrons during anaerobic digestion. Thermophilic digestion decreased the amount of mesophilic bacteria (Bacteroidetes and Proteobacteria) carrying ARGs. Anaerobic digestion generally decreased the abundance of integrons by eliminating the aerobic hosts of integrons (Actinomycetales and Bacilli). Thermophilic anaerobic digestion is recommended for the treatment and reuse of animal manure.
Collapse
Affiliation(s)
- Wei Sun
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xun Qian
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jie Gu
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiao-Juan Wang
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Man-Li Duan
- College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China
| |
Collapse
|
47
|
Tao W, Zhang XX, Zhao F, Huang K, Ma H, Wang Z, Ye L, Ren H. High Levels of Antibiotic Resistance Genes and Their Correlations with Bacterial Community and Mobile Genetic Elements in Pharmaceutical Wastewater Treatment Bioreactors. PLoS One 2016; 11:e0156854. [PMID: 27294780 PMCID: PMC4905627 DOI: 10.1371/journal.pone.0156854] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 05/21/2016] [Indexed: 01/24/2023] Open
Abstract
To understand the diversity and abundance of antibiotic resistance genes (ARGs) in pharmaceutical wastewater treatment bioreactors, the ARGs in sludge from two full-scale pharmaceutical wastewater treatment plants (PWWTPs) were investigated and compared with sludge samples from three sewage treatment plants (STPs) using metagenomic approach. The results showed that the ARG abundances in PWWTP sludge ranged from 54.7 to 585.0 ppm, which were higher than those in STP sludge (27.2 to 86.4 ppm). Moreover, the diversity of ARGs in PWWTP aerobic sludge (153 subtypes) was higher than that in STP aerobic sludge (118 subtypes). In addition, it was found that the profiles of ARGs in PWWTP aerobic sludge were similar to those in STP aerobic sludge but different from those in PWWTP anaerobic sludge, suggesting that dissolve oxygen (DO) could be one of the important factors affecting the profiles of ARGs. In PWWTP aerobic sludge, aminoglycoside, sulfonamide and multidrug resistance genes were frequently detected. While, tetracycline, macrolide-lincosamide-streptogramin and polypeptide resistance genes were abundantly present in PWWTP anaerobic sludge. Furthermore, we investigated the microbial community and the correlation between microbial community and ARGs in PWWTP sludge. And, significant correlations between ARG types and seven bacterial genera were found. In addition, the mobile genetic elements (MGEs) were also examined and correlations between the ARGs and MGEs in PWWTP sludge were observed. Collectively, our results suggested that the microbial community and MGEs, which could be affected by DO, might be the main factors shaping the profiles of ARGs in PWWTP sludge.
Collapse
Affiliation(s)
- Wenda Tao
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Xu-Xiang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
- * E-mail: (XXZ); (LY)
| | - Fuzheng Zhao
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Kailong Huang
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Haijun Ma
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Zhu Wang
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| | - Lin Ye
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
- * E-mail: (XXZ); (LY)
| | - Hongqiang Ren
- State Key Laboratory of Pollution Control and Resource Reuse, Environmental Health Research Center, School of the Environment, Nanjing University, Nanjing, 210023, China
| |
Collapse
|
48
|
Elbehery AHA, Aziz RK, Siam R. Antibiotic Resistome: Improving Detection and Quantification Accuracy for Comparative Metagenomics. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2016; 20:229-38. [PMID: 27031878 DOI: 10.1089/omi.2015.0191] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The unprecedented rise of life-threatening antibiotic resistance (AR), combined with the unparalleled advances in DNA sequencing of genomes and metagenomes, has pushed the need for in silico detection of the resistance potential of clinical and environmental metagenomic samples through the quantification of AR genes (i.e., genes conferring antibiotic resistance). Therefore, determining an optimal methodology to quantitatively and accurately assess AR genes in a given environment is pivotal. Here, we optimized and improved existing AR detection methodologies from metagenomic datasets to properly consider AR-generating mutations in antibiotic target genes. Through comparative metagenomic analysis of previously published AR gene abundance in three publicly available metagenomes, we illustrate how mutation-generated resistance genes are either falsely assigned or neglected, which alters the detection and quantitation of the antibiotic resistome. In addition, we inspected factors influencing the outcome of AR gene quantification using metagenome simulation experiments, and identified that genome size, AR gene length, total number of metagenomics reads and selected sequencing platforms had pronounced effects on the level of detected AR. In conclusion, our proposed improvements in the current methodologies for accurate AR detection and resistome assessment show reliable results when tested on real and simulated metagenomic datasets.
Collapse
Affiliation(s)
- Ali H A Elbehery
- 1 Graduate Program of Biotechnology, The American University in Cairo , Cairo, Egypt
| | - Ramy K Aziz
- 2 Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University , Cairo, Egypt
| | - Rania Siam
- 1 Graduate Program of Biotechnology, The American University in Cairo , Cairo, Egypt .,3 Biology Department, The American University in Cairo , Cairo, Egypt
| |
Collapse
|
49
|
Evans PN, Parks DH, Chadwick GL, Robbins SJ, Orphan VJ, Golding SD, Tyson GW. Methane metabolism in the archaeal phylum Bathyarchaeota revealed by genome-centric metagenomics. Science 2016; 350:434-8. [PMID: 26494757 DOI: 10.1126/science.aac7745] [Citation(s) in RCA: 423] [Impact Index Per Article: 52.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Methanogenic and methanotrophic archaea play important roles in the global flux of methane. Culture-independent approaches are providing deeper insight into the diversity and evolution of methane-metabolizing microorganisms, but, until now, no compelling evidence has existed for methane metabolism in archaea outside the phylum Euryarchaeota. We performed metagenomic sequencing of a deep aquifer, recovering two near-complete genomes belonging to the archaeal phylum Bathyarchaeota (formerly known as the Miscellaneous Crenarchaeotal Group). These genomes contain divergent homologs of the genes necessary for methane metabolism, including those that encode the methyl-coenzyme M reductase (MCR) complex. Additional non-euryarchaeotal MCR-encoding genes identified in a range of environments suggest that unrecognized archaeal lineages may also contribute to global methane cycling. These findings indicate that methane metabolism arose before the last common ancestor of the Euryarchaeota and Bathyarchaeota.
Collapse
Affiliation(s)
- Paul N Evans
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia 4072, Queensland, Australia
| | - Donovan H Parks
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia 4072, Queensland, Australia
| | - Grayson L Chadwick
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - Steven J Robbins
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia 4072, Queensland, Australia
| | - Victoria J Orphan
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
| | - Suzanne D Golding
- School of Earth Sciences, University of Queensland, St Lucia 4072, Queensland, Australia
| | - Gene W Tyson
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St Lucia 4072, Queensland, Australia. Advanced Water Management Centre, University of Queensland, St Lucia 4072, Queensland, Australia.
| |
Collapse
|
50
|
Yang Y, Jiang X, Chai B, Ma L, Li B, Zhang A, Cole JR, Tiedje JM, Zhang T. ARGs-OAP: online analysis pipeline for antibiotic resistance genes detection from metagenomic data using an integrated structured ARG-database. Bioinformatics 2016; 32:2346-51. [DOI: 10.1093/bioinformatics/btw136] [Citation(s) in RCA: 165] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 03/05/2016] [Indexed: 11/13/2022] Open
Abstract
Abstract
Motivation: Environmental dissemination of antibiotic resistance genes (ARGs) has become an increasing concern for public health. Metagenomics approaches can effectively detect broad profiles of ARGs in environmental samples; however, the detection and subsequent classification of ARG-like sequences are time consuming and have been severe obstacles in employing metagenomic methods. We sought to accelerate quantification of ARGs in metagenomic data from environmental samples.
Results: A Structured ARG reference database (SARG) was constructed by integrating ARDB and CARD, the two most commonly used databases. SARG was curated to remove redundant sequences and optimized to facilitate query sequence identification by similarity. A database with a hierarchical structure (type-subtype-reference sequence) was then constructed to facilitate classification (assigning ARG-like sequence to type, subtype and reference sequence) of sequences identified through similarity search. Utilizing SARG and a previously proposed hybrid functional gene annotation pipeline, we developed an online pipeline called ARGs-OAP for fast annotation and classification of ARG-like sequences from metagenomic data. We also evaluated and proposed a set of criteria important for efficiently conducting metagenomic analysis of ARGs using ARGs-OAP.
Availability and Implementation: Perl script for ARGs-OAP can be downloaded from https://github.com/biofuture/Ublastx_stageone. ARGs-OAP can be accessed through http://smile.hku.hk/SARGs.
Contact: zhangt@hku.hk or tiedjej@msu.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Ying Yang
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
- School of Marine Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Xiaotao Jiang
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Benli Chai
- Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Liping Ma
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Bing Li
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Anni Zhang
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - James R. Cole
- Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - James M. Tiedje
- Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Tong Zhang
- Environmental Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| |
Collapse
|