WARNING - Word Related Documents




#
Rank
Similarity
Title + Abs.
Year
PMID
012345
181100.9879Abundance of clinically relevant antimicrobial resistance genes in the golden jackal (Canis aureus) gut. The spread of antimicrobial resistance (AMR) is a critical One Health issue. Wildlife could act as reservoirs or vehicles of AMR bacteria (ARBs) and AMR genes (ARGs) but are relatively understudied. We sought to investigate clinically relevant ARGs in golden jackals (Canis aureus) thriving near human settlements in Israel. Fecal samples were collected from 111 jackals across four regions over a 10-month period. Various animal and spatio-temporal metadata were collected. Samples were analyzed by quantitative PCR (qPCR) for beta-lactamases (blaTEM, blaCTX-M15, and blaSHV), qnrS and int1. A subset of samples was subject to shotgun metagenomic sequencing followed by resistome and microbiome analyses. qPCR detected a high prevalence of ARGs, including beta-lactamases (blaTEM-1, 96.4%; blaCTX-M-15, 51.4%, blaSHV, 15.3%), fluoroquinolone resistance (qnrS, 87.4%), and class 1 integrons (Int1, 94.6%). The blaTEM-1 gene was found to be more prevalent in adult jackals compared to younger ones. Metagenomic analysis of a subset of samples revealed a diverse gut microbiome harboring a rich resistome with tetracycline resistance genes being the most prevalent. Metagenome-assembled genome analysis further identified several ARGs associated with clinically relevant bacteria. These findings highlight the potential role of golden jackals as reservoirs for AMR and emphasize the need for ongoing surveillance to better understand AMR transmission dynamics at the wildlife-human interface. IMPORTANCE: The research highlights the potential role of the golden jackals as reservoirs for antimicrobial resistance (AMR). The high prevalence of clinically relevant AMR genes in these jackals emphasizes the need for ongoing surveillance and monitoring to better understand AMR transmission dynamics at the wildlife-human interface.202539945541
260310.9874Characterization of antimicrobial resistance genes in Enterobacteriaceae carried by suburban mesocarnivores and locally owned and stray dogs. The role of wildlife in the dissemination of antimicrobial-resistant bacteria and antimicrobial resistance genes (ARGs) in the environment is of increasing concern. We investigated the occurrence, richness and transmissibility potential of ARGs detected in the faeces of three mesocarnivore species: the coyote (Canis latrans), raccoon (Procyon lotor) and Virginia opossum (Didelphis virginiana), and of stray and owned dogs in suburban Chicago, IL, USA. Rectal swabs were collected from live-captured coyotes (n = 32), raccoons (n = 31) and Virginia opossums (n = 22). Fresh faecal samples were collected from locally owned (n = 13) and stray dogs (n = 18) and from the live-captured mesocarnivores, when available. Faecal samples and rectal swabs were enriched to select for Enterobacteriaceae and pooled by mesocarnivore species and dog type (owned or stray). Pooled enriched samples were then analysed for the presence of ARGs using shotgun sequencing. The three mesocarnivore and stray dog samples had twice as many unique ARGs compared to the owned dog sample, which was partly driven by a greater richness of beta-lactamase genes (genes conferring resistance to penicillins and cephalosporins). Raccoon and stray dog samples had the most ARGs in common, suggesting possible exposure to similar environmental sources of ARGs. In addition to identifying clinically relevant ARGs (e.g. bla(CMY) and qnrB), some ARGs were linked to the class 1 integrase gene, intI1, which may indicate anthropogenic origin. Findings from this pilot investigation suggest that the microbial communities of suburban mesocarnivores and stray dogs can host ARGs that can confer resistance to several antimicrobials used in human and veterinary medicine.202032034890
180220.9874Exploring water, sediment, and avifauna from an urban recreational lagoon: focus on WHO priority pathogens. AIMS: Environmental dissemination of antimicrobial-resistant (AMR) pathogens is a growing global concern under the One Health framework, yet remains underexplored in biodiverse and human-impacted ecosystems such as Brazil's coastal lagoons. This study assessed the occurrence and distribution of AMR bacteria, including WHO-designated critical-priority pathogens, in water, sediment, and avifauna from Lagoa da Conceição, a coastal lagoon in southern Brazil. METHODS AND RESULTS: From December 2022 to November 2023, 96 environmental and 251 avian samples were collected and analyzed using selective culture, antimicrobial susceptibility testing, and molecular screening for resistance genes. A total of 625 bacterial isolates were recovered from water and sediment, of which 35.5% were multidrug-resistant and 26.7% met WHO critical-priority criteria. Key resistance genes identified included blaTEM, blaCTX-M, blaNDM, blaOXA-143, and mcr-1, with high spatial heterogeneity across sampling sites. WHO critical-priority pathogens were also isolated from 9.6% of sampled birds, suggesting the role of avifauna as environmental sentinels and reservoirs. Generalized linear models revealed that population density and precipitation were positively associated with the abundance of critical-priority isolates. CONCLUSIONS: These findings highlight anthropogenic and climatic drivers of AMR dissemination in coastal environments and underscore the urgent need for integrated monitoring and mitigation strategies to protect ecosystems and public health.202541100178
307230.9873Faecal microbiota and antibiotic resistance genes in migratory waterbirds with contrasting habitat use. Migratory birds may have a vital role in the spread of antimicrobial resistance across habitats and regions, but empirical data remain scarce. We investigated differences in the gut microbiome composition and the abundance of antibiotic resistance genes (ARGs) in faeces from four migratory waterbirds wintering in South-West Spain that differ in their habitat use. The white stork Ciconia ciconia and lesser black-backed gull Larus fuscus are omnivorous and opportunistic birds that use highly anthropogenic habitats such as landfills and urban areas. The greylag goose Anser anser and common crane Grus grus are herbivores and use more natural habitats. Fresh faeces from 15 individuals of each species were analysed to assess the composition of bacterial communities using 16S rRNA amplicon-targeted sequencing, and to quantify the abundance of the Class I integron integrase gene (intI1) as well as genes encoding resistance to sulfonamides (sul1), beta-lactams (bla(TEM), bla(KPC) and bla(NDM)), tetracyclines (tetW), fluoroquinolones (qnrS), and colistin (mcr-1) using qPCR. Bacterial communities in gull faeces were the richest and most diverse. Beta diversity analysis showed segregation in faecal communities between bird species, but those from storks and gulls were the most similar, these being the species that regularly feed in landfills. Potential bacterial pathogens identified in faeces differed significantly between bird species, with higher relative abundance in gulls. Faeces from birds that feed in landfills (stork and gull) contained a significantly higher abundance of ARGs (sul1, bla(TEM), and tetW). Genes conferring resistance to last resort antibiotics such as carbapenems (bla(KPC)) and colistin (mcr-1) were only observed in faeces from gulls. These results show that these bird species are reservoirs of antimicrobial resistant bacteria and suggest that waterbirds may disseminate antibiotic resistance across environments (e.g., from landfills to ricefields or water supplies), and thus constitute a risk for their further spread to wildlife and humans.202133872913
708140.9873Seasonal variations in export of antibiotic resistance genes and bacteria in runoff from an agricultural watershed in Iowa. Seasonal variations of antimicrobial resistance (AMR) indicators in runoff water can help improve our understanding of AMR sources and transport within an agricultural watershed. This study aimed to monitor multiple areas throughout the Black Hawk Lake (BHL) watershed (5324 ha) in central Iowa during 2017 and 2018 that consists of both swine and cattle feeding operations as well as known areas with manure application. The measured indicators included plate counts for fecal indicator bacteria (FIB) E. coli, Enterococcus, antibiotic resistant fecal indicator bacteria (ARBs) tylosin resistant Enterococcus, tetracycline resistant Enterococcus, and antibiotic resistance genes (ARGs): ermB, ermF (macrolide), tetA, tetM, tetO, tetW (tetracycline), sul1, sul2 (sulfonamide), aadA2 (aminoglycoside), vgaA, and vgaB (pleuromutilin). Both the plate count and the ARG analyses showed seasonal trends. Plate counts were significantly greater during the growing season, while the ARGs were greater in the pre-planting and post-harvest seasons (Wilcoxon Rank-Sum Test p < 0.05). The ermB gene concentration was significantly correlated (p < 0.05) with E. coli and Enterococcus concentrations in 2017, suggesting a potential use of this ARG as an indicator of environmental AMR and human health risk. Flow rate was not a significant contributor to annual variations in bacteria and AMR indicators. Based on observed seasonal patterns, we concluded that manure application was the likely contributor to elevated ARG indicators observed in the BHL watershed, while the driver of elevated ARB indictors in the growing season can only be speculated. Understanding AMR export patterns in agricultural watersheds provides public health officials knowledge of seasonal periods of higher AMR load to recreational waters.202032806354
320650.9870High pollution and health risk of antibiotic resistance genes in rural domestic sewage in southeastern China: A study combining national-scale distribution and machine learning. Rural domestic sewage has emerged as an important reservoir of antibiotic resistance genes (ARGs) under rapid urbanization, while the national-scale geographical patterns and risks of ARGs remaining unclear. We investigated ARG pollution in rural domestic sewage across 39 sites in 22 Chinese provinces using metagenomic sequencing, identifying 702 ARG subtypes across 21 types. Multidrug resistance genes were predominant in the shared ARGs, accounting for 58.96 % of the total ARG abundance. Host bacteria analysis revealed Klebsiella pneumoniae and Escherichia coli were the main pathogenic-resistant bacteria. Southeastern China exhibited the highest level of ARG pollution in rural domestic sewage, followed by south-central, northern, and western. This ARG pollution was primarily caused by human/animal feces based on ARG indicators. Partial least-squares path model and partial redundancy analysis highlighted antibiotics as the primary driver, explaining 24.16 % of ARG variation, with sulfamethazine, norfloxacin, and ofloxacin identified as priority control targets. Risk assessment by calculating the risk index indicated 24.58 % of detected ARGs posed potential health threats, particularly multidrug resistance. Machine learning models predicted higher ARG risks in rural domestic sewage from southeastern China with intensive human activity. This study underscores the crucial impact of antibiotics in ARG proliferation and risk in rural domestic sewage.202540701495
311360.9869Resistome in the indoor dust samples from workplaces and households: a pilot study. The antibiotic resistance genes (ARGs) limit the susceptibility of bacteria to antimicrobials, representing a problem of high importance. Current research on the presence of ARGs in microorganisms focuses mainly on humans, livestock, hospitals, or wastewater. However, the spectrum of ARGs in the dust resistome in workplaces and households has gone relatively unexplored. This pilot study aimed to analyze resistome in indoor dust samples from participants' workplaces (a pediatric hospital, a maternity hospital, and a research center) and households and compare two different approaches to the ARGs analysis; high-throughput quantitative PCR (HT-qPCR) and whole metagenome shotgun sequencing (WMGS). In total, 143 ARGs were detected using HT-qPCR, with ARGs associated with the macrolides, lincosamides, and streptogramin B (MLSB) phenotype being the most abundant, followed by MDR (multi-drug resistance) genes, and genes conferring resistance to aminoglycosides. A higher overall relative quantity of ARGs was observed in indoor dust samples from workplaces than from households, with the pediatric hospital being associated with the highest relative quantity of ARGs. WMGS analysis revealed 36 ARGs, of which five were detected by both HT-qPCR and WMGS techniques. Accordingly, the efficacy of the WMGS approach to detect ARGs was lower than that of HT-qPCR. In summary, our pilot data revealed that indoor dust in buildings where people spend most of their time (workplaces, households) can be a significant source of antimicrobial-resistant microorganisms, which may potentially pose a health risk to both humans and animals.202439691696
252470.9869Phenotypic and Genotype Patterns of Antimicrobial Resistance in Non-Human Primates: An Overlooked "One Health" Concern. Non-human primates (NHPs) are close relatives of humans and can serve as hosts for many zoonotic pathogens. They play crucial role in spreading antimicrobial resistant bacteria (AMR) to humans across various ecological niches. The spread of antimicrobial resistance in NHPs may complicate wildlife conservation efforts, as it may threaten domestic livestock, endangered species as well as human's health. This review analyses the existing literature on the prevalence of AMR in NHP species, including Rhinopithecus roxellana, Macaca fascicularis, and Sapajus nigritus, to create awareness in all stake holders involve in the fight against AMR on the serious potential threats that these primates pose. METHODS: We performed a comprehensive literature search using the PubMed (National Library of Medicine-NLM), Scopus (Elsevier), Web of Science Core Collection (Clarivate Analytics), Springer Link (Springer), and Science Direct (Elsevier) databases until January, 2025. The search strategy combined terms from the areas of non-human primates, antibiotic resistance, antimicrobial resistance, and antibacterial resistance genes (ARGs). Studies that isolated bacteria from NHPs and assessed phenotypic resistance to specific antibiotics as well as studies that identified ARGs in bacteria isolated from NHPs were included. Data were synthesised thematically across all included studies. RESULTS: A total of 37 studies were included (explained as Cercopithecidae (n = 23), Callithrix (n = 6), Cebidae (n = 4), Hominidae (n = 3), and Atelidae (n = 1)). The results showed that the most common ARB across the various NHPs and geographical settings was Staphylococcus spp. (45.95%) and Escherichia spp. (29.73%). The tested antibiotics that showed high levels of resistance in NHPs included Tetracycline (40.54%), Ciprofloxacin (32.43%), and Erythromycin (24.34%), whereas ermC, tetA, tetM, aadA, aph (3″)-II, and qnrS1 were the most widely distributed antibiotic resistance genes in the studies. CONCLUSION: NHPs are potential natural reservoirs of AMR, therefore global policy makers should consider making NHPs an indicator species for monitoring the spread of ARB.202541148677
537080.9869Airborne antibiotic resistance genes in Hong Kong kindergartens. Antibiotic resistance genes (ARGs) and antibiotic resistant bacteria (ARB) have become a critical global public health issue in this century. There is increasing evidence for the presence and transmission of ARGs by air transmission. In this research, ARGs and ARB in air conditioner filter dust (AC dust) and urine samples from 55 kindergarten children in 17 kindergartens and nearby 10 soil samples in Hong Kong were analyzed. The results showed the presence of 16 ARG subtypes and the mobile genetic element (MGE) intI1 in AC dust, and 12 ARG subtypes in the soil samples. ARGs presenting resistance to sulfonamide (6.9 × 10(-3)-0.17) (expressed as relative abundance of the 16 S rRNA genes) were most abundant followed by macrolides (1.8 × 10(-3)-3.3 × 10(-2)), sul1, sul2 (sulfonamide), ermF (macrolides) and intI1 genes in AC dust in 17 kindergartens. For soil samples, 12 ARG subtypes and the intI1 were detected, and the genes providing resistance to sulfonamide (1.6 × 10(-3)-2.7 × 10(-1)) were the most abundant ARGs in the 10 soil samples, followed by tetracycline (ND-1.4 × 10(-2)). Multi-resistant bacteria with sul1, sul2, intI1, or tetQ were detected in all AC dust samples and some urine samples. Based on bacterial genera and ARG co-occurrence network analysis and Hong Kong's special geographical location and cultural environment, there might be two origins for the ARGs detected in the kindergartens: β-lactam/macrolide ARGs mainly derived from human medicine use and tetracycline/sulfonamide ARGs mainly from other areas, as well as IntI1 may play a role in the spread of ARGs in Hong Kong. The widely detection of ARGs in AC dust in kindergartens in Hong Kong highlights the need for the improvement of management measures.202032041021
317990.9869Deciphering the mobility, pathogenic hosts, and co-selection of antibiotic resistance genes in untreated wastewater from three different hospitals. OBJECTIVE: Antibiotic resistance genes (ARGs) in hospital wastewater pose significant environmental and public health risks, yet the co-selection mechanisms involving metal/biocide resistance genes (MRGs/BRGs) and the role of mobile genetic elements (MGEs) remain poorly characterized. This study aimed to comprehensively assess the abundance, mobility, pathogenic hosts, and co-selection patterns of ARGs, MRGs, and BRGs in untreated wastewater from three types of hospitals. METHODS: Untreated wastewater samples from nine sources across three hospital types (general, traditional Chinese medicine, and dental) were analyzed using metagenomic sequencing and assembly. ARGs, MRGs, and BRGs were identified via the SARG and BacMet databases. ARG hosts, mobility, and MGE co-occurrence were analyzed using PlasFlow and MOB-suite, with risk levels evaluated alongside pathogenic bacteria databases. RESULTS: A total of 1911 ARGs (222 subtypes), 1662 MRGs (167 subtypes), and 916 BRGs (139 subtypes) were detected. Tetracycline, multidrug, and β-lactam resistance genes were predominant, with 46.43 % of ARGs being plasmid-associated. Key pathogens including Klebsiella pneumoniae and Enterococcus spp. harbored high-risk ARGs such as KPC-2 and NDM-1. Notably, 76.2 % of ARGs in traditional Chinese medicine hospital wastewater were classified as high-risk. Significant co-occurrence of ARGs with MGEs (e.g., DDE recombinases) and MRGs/BRGs was observed, underscoring the role of horizontal gene transfer and co-selection. CONCLUSION: Untreated hospital wastewater represents a significant reservoir of ARGs, with risks exacerbated by pathogenic hosts, MGE-mediated HGT, and metal/biocide co-selection. These findings underscore the urgent need for optimized wastewater treatment strategies to curb the spread of antibiotic resistance and inform future intervention efforts.202541067299
3281100.9868Antibiotic resistance genes prevalence prediction and interpretation in beaches affected by urban wastewater discharge. BACKGROUND: The annual death toll of over 1.2 million worldwide is attributed to infections caused by resistant bacteria, driven by the significant impact of antibiotic misuse and overuse in spreading these bacteria and their associated antibiotic resistance genes (ARGs). While limited data suggest the presence of ARGs in beach environments, efficient prediction tools are needed for monitoring and detecting ARGs to ensure public health safety. This study aims to develop interpretable machine learning methods for predicting ARGs in beach waters, addressing the challenge of black-box models and enhancing our understanding of their internal mechanisms. METHODS: In this study, we systematically collected beach water samples and subsequently isolated bacteria from these samples using various differential and selective media supplemented with different antibiotics. Resistance profiles of bacteria were determined by using Kirby-Bauer disk diffusion method. Further, ARGs were enumerated by using the quantitative polymerase chain reaction (qPCR) to detect and quantify ARGs. The obtained qPCR data and hydro-meteorological were used to create an ML model with high prediction performance and we further used two explainable artificial intelligence (xAI) model-agnostic interpretation methods to describe the internal behavior of ML model. RESULTS: Using qPCR, we detected bla(CTX-M), bla(NDM), bla(CMY), bla(OXA), bla(tetX), bla(sul1), and bla(aac(6'-Ib-cr)) in the beach waters. Further, we developed ML prediction models for bla(aac(6'-Ib-cr)), bla(sul1), and bla(tetX) using the hydro-metrological and qPCR-derived data and the models demonstrated strong performance, with R2 values of 0.957, 0.997, and 0.976, respectively. CONCLUSIONS: Our findings show that environmental factors, such as water temperature, precipitation, and tide, are among the important predictors of the abundance of resistance genes at beaches.202338024281
3075110.9868Comparison of environmental microbiomes in an antibiotic resistance-polluted urban river highlights periphyton and fish gut communities as reservoirs of concern. Natural waterways near urban areas are heavily impacted by anthropogenic activities, including their microbial communities. A contaminant of growing public health concern in rivers is antibiotic resistant genes (ARGs), which can spread between neighboring bacteria and increase the potential for transmission of AR bacteria to animals and humans. To identify the matrices of most concern for AR, we compared ARG burdens and microbial community structures between sample types from the Scioto River Watershed, Ohio, the United States, from 2017 to 2018. Five environmental matrices (water, sediment, periphyton, detritus, and fish gut) were collected from 26 river sites. Due to our focus on clinically relevant ARGs, three carbapenem resistance genes (bla(KPC), bla(NDM), and bla(OXA-48)) were quantified via DropletDigital™ PCR. At a subset of nine urbanized sites, we conducted16S rRNA gene sequencing and functional gene predictions. Carbapenem resistance genes were quantified from all matrices, with bla(KPC) being the most detected (88 % of samples), followed by bla(NDM) (64 %) and bla(OXA-48) (23 %). Fish gut samples showed higher concentrations of bla(KPC) and bla(NDM) than any other matrix, indicating potential ARG bioaccumulation, and risk of broader dissemination through aquatic and nearshore food webs. Periphyton had higher concentrations of bla(NDM) than water, sediment, or detritus. Microbial community analysis identified differences by sample type in community diversity and structure. Sediment samples had the most diverse microbial communities, and detritus, the least. Spearman correlations did not reveal significant relationships between the concentrations of the monitored ARGs and microbial community diversity. However, several differentially abundant taxa and microbial functions were identified by sample type that is definitive of these matrices' roles in the river ecosystem and habitat type. In summary, the fish gut and periphyton are a concern as AR reservoirs due to their relatively high concentration of carbapenem resistance genes, diverse microbial communities, and natural functions that promote AR.202235973543
6576120.9868Wastewater-based AMR surveillance associated with tourism on a Caribbean island (Guadeloupe). OBJECTIVES: Antimicrobial resistance (AMR) is a major public health concern worldwide. International travel is a risk factor for acquiring antibiotic-resistant bacteria (ARB) and antibiotic-resistance genes (ARGs). Therefore, understanding the transmission of ARB and ARGs is instrumental in tackling AMR. This longitudinal study aimed to assess the benefit of wastewater monitoring in Guadeloupe to evaluate the role of tourism in the spread of AMR. METHODS: A wastewater-based surveillance (WBS) study was conducted to monitor AMR in Guadeloupe in 2022 during dry and wet seasons. We characterized the resistome, microbiome and exposome of water samples collected in wastewater treatment facilities of two cities with different levels of tourism activities, in the content of aircraft toilets, and the pumping station receiving effluents from hotels. RESULTS: The results show that the WBS approach facilitates the differentiation of various untreated effluents concerning exposome, microbiome, and resistome, offering insights into AMR dissemination. Additionally, the findings reveal that microbiome and exposome are comparable across sites and seasons, while resistome characterisation at specific locations may be pertinent for health surveillance. The microbiome of aircraft was predominantly composed of anaerobic bacteria from human intestinal microbiota, whereas the other locations exhibited a blend of human and environmental bacteria. Notably, individuals arriving by air have not introduced clinically significant resistance genes. Exposome compounds have been shown to influence the resistome's variance. CONCLUSIONS: Clear differences were seen between the aircraft and the local sampling sites, indicating that the contribution of tourism to the observed resistance in Guadeloupe is not significant.202540154781
1812130.9868Pathogen Detection and Resistome Analysis in Healthy Shelter Dogs Using Whole Metagenome Sequencing. According to the Humane Society, 25 to 40 percent of pet dogs in the United States are adopted from animal shelters. Shelter dogs can harbor bacterial, viral, fungal, and protozoal pathogens, posing risks to canine and human health. These bacterial pathogens may also carry antibiotic resistance genes (ARGs), serving as a reservoir for antimicrobial resistance (AMR) transmission. This study aimed to utilize whole metagenome sequencing (WMS) to screen for microbial pathogens and assess the resistome in healthy shelter dogs. Fecal samples from 58 healthy shelter dogs across 10 shelters in Kentucky, Tennessee, and Virginia were analyzed using WMS. Genomic DNA was extracted, and bioinformatics analyses were performed to identify pathogens and ARGs. The WMS detected 53 potentially zoonotic or known pathogens including thirty-eight bacterial species, two protozoa, five yeast species, one nematode, four molds, and three viruses. A total of 4560 ARGs signatures representing 182 unique genes across 14 antibiotic classes were detected. Tetracycline resistance genes were most abundant (49%), while β-lactam resistance genes showed the highest diversity with 75 unique ARGs. ARGs were predominantly detected in commensal bacteria; however, nearly half (18/38, 47.4%) of known bacterial pathogens detected in this study carried ARGs for resistance to one or more antibiotic classes. This study provides evidence that healthy shelter dogs carry a diverse range of zoonotic and antibiotic-resistant pathogens, posing a transmission risk through fecal shedding. These findings highlight the value of WMS for pathogen detection and AMR surveillance, informing therapeutic and prophylactic strategies to mitigate the transmission of pathogens among shelter dog populations and the risk associated with zoonoses.202539860994
1866140.9868Drivers of the emergence and dissemination of high-risk resistance genes in cattle farm. Extended spectrum β-lactamase (ESBL)- and carbapenemase-producing Enterobacterales (CPE) are recognized by WHO as critical concerns. The high cephalosporin resistance rate in a cattle farm in 2018 prompted us to conduct long-term (2019-2023) and extensive monitoring to explore risk factors for the import and transmission of ESBLs and CPE in this farm. Among 1288 samples from cattle, the environment, milk, and biological vectors, 48.8 % carried bla(CTX-M)-positive Enterobacterales with bla(CTX-M-55) being dominant (76.4 %), and bla(NDM-5)-positive strains emerged in 2022 with a 1.9 % detection rate. bla(CTX-M-55) and bla(NDM-5) were likely introduced through various routes, especially wild birds, and have persisted due to overuse of cephalosporins in the farm. The spread of these genes was driven by the horizontal transmission of IncHI2 and IncX3 plasmids and clonal dissemination of certain clones. Cross-regional and cross-border transmission of bla(CTX-M-55)- and/or bla(NDM-5)-bearing bacteria and plasmids possibly occurred via wild birds, animal trade, and other means. Our findings suggest that the import, persistence, and dissemination of these genes within and beyond this farm, were fueled by suboptimal biosecurity practices and inadequate antibiotic stewardship, highlighting the urgency for integrated public and ecosystem health policies to prevent the spread of resistance genes as part of a holistic One Health strategy. ENVIRONMENTAL IMPLICATION: The high prevalence and long-term persistence of extended-spectrum β-lactamases and the emergence of carbapenemases in cattle and the environment signify a critical risk of transmitting high-risk resistance genes, posing a significant threat to human health. Consequently, bacteria carrying these genes in animal farms should be regarded as "hazardous materials". Import, persistence, and dissemination of these genes within and beyond this farm were exacerbated by suboptimal biosecurity practices and inadequate antibiotic stewardship, highlighting the urgency for integrated public and ecosystem health policies to mitigate the environmental risks associated with gene transmission as part of a comprehensive One Health strategy.202539899930
2591150.9868What samples are suitable for monitoring antimicrobial-resistant genes? Using NGS technology, a comparison between eDNA and mrDNA analysis from environmental water. INTRODUCTION: The rise in antimicrobial resistance (AMR) that is affecting humans, animals, and the environment, compromises the human immune system and represents a significant threat to public health. Regarding the impact on water sanitation, the risk that antimicrobial-resistant genes (ARGs) and antimicrobial-resistant bacteria in surface water in cities pose to human health remains unclear. To determine the prevalence of AMR in environmental surface water in Japan, we used DNA sequencing techniques on environmental water DNA (eDNA) and the DNA of multidrug-resistant bacteria (mrDNA). METHODS: The eDNA was extracted from four surface water samples obtained from the Tokyo area and subjected to high- throughput next-generation DNA sequencing using Illumina-derived shotgun metagenome analysis. The sequence data were analyzed using the AmrPlusPlus pipeline and the MEGARes database. Multidrug-resistant bacteria were isolated using a culture-based method from water samples and were screened by antimicrobial susceptibility testing (for tetracycline, ampicillin-sulbactam, amikacin, levofloxacin, imipenem, and clarithromycin). Of the 284 isolates, 22 were identified as multidrug-resistant bacteria. The mrDNA was sequenced using the Oxford nanopore MinION system and analyzed by NanoARG, a web service for detecting and contextualizing ARGs. RESULTS AND DISCUSSION: The results from eDNA and mrDNA revealed that ARGs encoding beta-lactams and multidrug resistance, including multidrug efflux pump genes, were frequently detected in surface water samples. However, mrDNA also revealed many sequence reads from multidrug-resistant bacteria, as well as nonspecific ARGs, whereas eDNA revealed specific ARGs such as pathogenic OXA-type and New Delhi metallo (NDM)-beta-lactamase ARGs. CONCLUSION: To estimate potential AMR pollution, our findings suggested that eDNA is preferable for detecting pathogen ARGs.202338179449
3543160.9868Precipitation influences pathogenic bacteria and antibiotic resistance gene abundance in storm drain outfalls in coastal sub-tropical waters. Stormwater contamination can threaten the health of aquatic ecosystems and human exposed to runoff via nutrient and pathogen influxes. In this study, the concentrations of 11 bacterial pathogens and 47 antibiotic resistance genes (ARGs) were determined by using high-throughput microfluidic qPCR (MFQPCR) in several storm drain outfalls (SDOs) during dry and wet weather in Tampa Bay, Florida, USA. Data generated in this study were also compared with the levels of fecal indicator bacteria (FIB) and sewage-associated molecular markers (i.e., Bacteroides HF183 and crAssphage markers) in same SDOs collected in a recent study (Ahmed et al., 2018). Concentration of FIB, sewage-associated markers, bacterial pathogens and many ARGs in water samples were relatively high and SDOs may be potentially hotspots for microbial contamination in Tampa Bay. Mean concentrations of culturable E. coli and Enterococcus spp. were tenfold higher in wet compared to dry weather. The majority of microbiological contaminants followed this trend. E. coli eaeA, encoding the virulence factor intimin, was correlated with levels of 20 ARGs, and was more frequently detected in wet weather than dry weather samples. The bla(KPC) gene associated with carbapenem resistant Enterobacteriaceae and the beta-lactam resistant gene (bla(NPS)) were only detected in wet weather samples. Frequency of integron genes Intl2 and Intl3 detection increased by 42% in wet weather samples. Culturable E. coli and Enterococcus spp. significantly correlated with 19 of 47 (40%) ARG tested. Sewage-associated markers crAssphage and HF183 significantly correlated (p < 0.05) with the following ARGs: intl1, sul1, tet(M), ampC, mexB, and tet(W). The presence of sewage-associated marker genes along with ARGs associated with sewage suggested that aging sewage infrastructure contributed to contaminant loading in the Bay. Further research should focus on collecting spatial and temporal data on the microbiological contaminants especially viruses in SDOs.201829754026
3292170.9868Heterotrophic bacteria in drinking water: evaluating antibiotic resistance and the presence of virulence genes. Heterotrophic bacteria, impacting those with infections or compromised immunity, pose heightened health risks when resistant to antibiotics. This study investigates heterotrophic plate count bacteria in water from North West-C (NWC) and North West-G (NWG) facilities, revealing prevalent β-hemolysis (NWC 82.5%, NWG 86.7%), enzyme production (98%), and antibiotic resistance, especially in NWC. NWG exhibits variations in hemolysin (P = 0.013), lipase (P = 0.009), and DNase activity (P = 0.006). Antibiotics, including ciprofloxacin, persist throughout treatment, with high resistance to β-lactams and trimethoprim (47%-100%), predominantly in NWC. Multiple antibiotic resistance index indicates that 90% of values exceed 0.20, signifying isolates from high antibiotic usage sources. Whole genome sequencing reveals diverse antibiotic resistance genes in heterotrophic strains, emphasizing their prevalence and health risks in water.IMPORTANCEThis study's findings are a stark reminder of a significant health concern: our water sources harbor antibiotic-resistant heterotrophic bacteria, which can potentially cause illness, especially in individuals with weakened immune systems or underlying infections. Antibiotic resistance among these bacteria is deeply concerning, as it threatens the effectiveness of antibiotics, critical for treating various infections. Moreover, detecting virulence factors in a notable proportion of these bacteria highlights their elevated risk to public health. This research underscores the immediate need for enhanced water treatment processes, rigorous water quality monitoring, and the development of strategies to combat antibiotic resistance in the environment. Safeguarding the safety of our drinking water is imperative to protect public health and mitigate the spread of antibiotic-resistant infections, making these findings a compelling call to action for policymakers and public health authorities alike.202438205959
2104180.9868A systematic review and meta-analysis on antibiotic resistance genes in Ghana. BACKGROUND: Addressing antimicrobial resistance (AMR) poses a complex challenge, primarily because of the limited understanding of bacterial antibiotic resistance genes (ARGs) and the spread of these genes across different domains. To bridge this knowledge gap in Ghana, we undertook a comprehensive systematic review and meta-analysis to quantify and estimate the prevalence of circulating ARGs in bacteria isolated from human, animal, and environmental sources. METHODS: A thorough literature search was conducted across three major databases-Web of Science, PubMed, and Scopus-to retrieve all relevant articles related to ARGs in Ghana from the inception of the databases to February 25, 2024. A risk-of-bias evaluation was performed using the Newcastle-Ottawa Scale (NOS), and the data analysis involved descriptive statistics and proportional meta-analysis. RESULTS: Of the 371 articles initially obtained, 38 met the inclusion criteria. These studies adequately covered Ghana geographically. The most prevalent ESBL gene identified was bla(CTX-M), with a prevalence of 31.6% (95% CI: 17.6-45.7), followed by bla(TEM) (19.5% [95% CI: 9.7-29.3]), and bla(SHV) (3.5% [95% CI: 0.3-6.6]). The pooled prevalence of carbapenemase genes ranged from 17.2% (95% CI: 6.9-27.6) for bla(NDM) to 10.3% (95% CI: 1.9-18.7) for bla(OXA). Additionally, other ARGs, including sul1, qnrS, gyrA, erm(B), and mecA, were detected, with prevalence ranging from 3.9% (95% CI: 0.0-8.5) to 16.4% (95% CI: 3.1-29.8). Several ARGs were shared across human, animal, and environmental sources. CONCLUSION: This review revealed that bacteria obtained from human, animal, and environmental samples in Ghana shared genes associated with AMR. This finding provides evidence on the interconnection of AMR across these three domains. Horizontal gene transfer, which enables the dissemination of ARGs between genetically diverse bacteria, can occur, necessitating a multidisciplinary approach to addressing antimicrobial resistance in Ghana.202540075357
2584190.9868Resistance to medically important antimicrobials in broiler and layer farms in Cameroon and its relation with biosecurity and antimicrobial use. INTRODUCTION: Poultry production accounts for 42% of Cameroonian meat production. However, infectious diseases represent the main hindrance in this sector, resulting in overuse and misuse of antimicrobials that can contribute to the emergence and dissemination of antimicrobial resistance (AMR). This study aimed to evaluate the prevalence of antimicrobial resistance genes (ARGs) conferring resistance to carbapenems (bla(VIM-2) and bla(NDM) ), (fluoro) quinolones (qnrS, qnrA, and qnrB), polymyxins (mcr1 to mcr5), and macrolides (ermA and ermB) in the poultry farm environment. Additionally, the study examined the relationship between these ARGs and biosecurity implementation, as well as farmers' knowledge, attitudes, and practices toward antimicrobial use (AMU) and AMR, including their perception of AMR risk. MATERIALS AND METHODS: Fecal, drinking water, and biofilm samples from drinking water pipelines were collected from 15 poultry farms and subsequently analyzed by real-time PCR and 16S rRNA NGS. RESULTS: All samples tested positive for genes conferring resistance to (fluoro) quinolones, 97.8% to macrolides, 64.4% to polymyxins, and 11.1% to carbapenems. Of concern, more than half of the samples (64.4%) showed a multi-drug resistance (MDR) pattern (i.e., resistance to ≥3 antimicrobial classes). Drinking water and biofilm microbial communities significantly differed from the one of the fecal samples, both in term of diversity (α-diversity) and composition (β-diversity). Furthermore, opportunistic pathogens (i.e., Comamonadaceae and Sphingomonadaceae) were among the most abundant bacteria in drinking water and biofilm. The level of biosecurity implementation was intermediate, while the knowledge and attitude of poultry farmers toward AMU were insufficient and unsuitable, respectively. Good practices toward AMU were found to be correlated with a reduction in polymyxins and MDR. DISCUSSION: This study provides valuable information on resistance to medically important antimicrobials in poultry production in Cameroon and highlights their potential impact on human and environmental health.202439881983