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716700.9686Occurrence and distribution of antibiotic pollution and antibiotic resistance genes in seagrass meadow sediments based on metagenomics. Seagrass meadows are one of the most important coastal ecosystems that provide essential ecological and economic services. The contamination levels of antibiotic and antibiotic resistance genes (ARGs) in coastal ecosystems are severely elevated owing to anthropogenic disturbances, such as terrestrial input, aquaculture effluent, and sewage discharge. However, few studies have focused on the occurrence and distribution of antibiotics and their corresponding ARGs in this habitat. Thus, we investigated the antibiotic and ARGs profiles, microbial communities, and ARG-carrying host bacteria in typical seagrass meadow sediments collected from Swan Lake, Caofeidian shoal harbor, Qingdao Bay, and Sishili Bay in the Bohai Sea and northern Yellow Sea. The total concentrations of 30 detected antibiotics ranged from 99.35 to 478.02 μg/kg, tetracyclines were more prevalent than other antibiotics. Metagenomic analyses showed that 342 ARG subtypes associated with 22 ARG types were identified in the seagrass meadow sediments. Multidrug resistance genes and RanA were the most dominant ARG types and subtypes, respectively. Co-occurrence network analysis revealed that Halioglobus, Zeaxanthinibacter, and Aureitalea may be potential hosts at the genus level, and the relative abundances of these bacteria were higher in Sishili Bay than those in other areas. This study provided important insights into the pollution status of antibiotics and ARGs in typical seagrass meadow sediments. Effective management should be performed to control the potential ecological health risks in seagrass meadow ecosystems.202438782270
716410.9679Anthropogenic pressures amplify high-risk antibiotic resistome via co-selection among biocide resistance, virulence, and antibiotic resistance genes in the Ganjiang River basin: Drivers diverge in densely versus sparsely populated reaches. As the largest river in the Poyang Lake system, the Ganjiang River faces escalating anthropogenic pressures that amplify resistance gene dissemination. This study integrated antibiotic resistance genes (ARGs), biocide resistance genes (BRGs), and virulence factor genes (VFGs) to reveal their co-selection mechanisms and divergent environmental drivers between densely (DES) and sparsely populated (SPAR) regions of the Ganjiang River basin. The microbial and viral communities and structures differed significantly between the DES and SPAR regions (PERMANOVA, p < 0.001). Midstream DES areas were hotspots for ARGs/BRGs/VFGs enrichment, with peak enrichment multiples reaching 10.2, 5.7, and 5.9-fold respectively. Procrustes analysis revealed limited dependence of ARGs transmission on mobile genetic elements (MGEs) (p > 0.05). Separately, 74 % of dominant ARGs (top 1 %) showed strong correlations with BRGs (r(2) = 0.973, p < 0.01) and VFGs (r(2) = 0.966, p < 0.01) via co-selection. Pathogenic Pseudomonas spp. carrying multidrug-resistant ARGs, BRGs, and adhesion-VFGs were identified as high-risk vectors. In SPAR areas, anthropogenic pressure directly dominated ARGs risk (RC = 54.2 %, β = 0.39, p < 0.05), with biological factors as secondary contributors (RC = 45.8 %, β = 0.33, p < 0.05). In contrast, DES regions showed anthropogenic pressure exerting broader, enduring influences across microorganisms, physicochemical parameters, and biological factors, escalating ARGs risks through diverse pathways, with BRGs/VFGs acting as direct drivers. This study proposes establishing a risk prevention system using BRGs and pathogenic microorganisms as early-warning indicators.202540858019
317320.9678Antibiotic-resistant bacteria in marine productive zones of the eastern Arabian Sea: Implications for human and environmental health. The increasing threat of antibiotic resistance is a major global concern affecting human and environmental health. Marine environments, though underexplored, are emerging as significant reservoirs for antibiotic resistance genes (ARGs). This study provides genome-resolved shotgun metagenomic insights into the seasonal and spatial dynamics of ARGs in the chlorophyll maximum zones of the eastern Arabian Sea, focusing on bacterial communities from coastal (30 m) and offshore (600 m) depths. Using a shotgun metagenomic approach, 31 potential ARGs were identified across both non-monsoon and monsoon seasons, with higher abundance observed in offshore stations during the non-monsoon season. Multidrug resistance genes such as blaEFM-1, catB2 and mexK, conferring resistance to carbapenems, chloramphenicol and multiple antibiotics, were prevalent in taxa like Staphylococcus sp., Qipengyuania sp. and Alcanivorax sp. Clinically relevant taxa, including Pseudomonas sp. and Staphylococcus sp., harbored ARGs, which may raise concerns regarding potential seafood-mediated ARG transmission. The significant enrichment and co-localization of mobile genetic elements (MGEs) with ARGs suggest enhanced horizontal gene transfer among native marine bacteria in the offshore environments. However, the limited distribution of ARGs and the absence of associated MGEs during the monsoon season may result from dilution caused by freshwater influx. Comparative functional analysis revealed stress-related functional enrichment in ARG-carrying metagenomic assembled genomes, suggesting environmental stress may enhance the spread of ARGs within offshore microbial communities. These findings challenge the coastal-centric view of marine antibiotic resistance by identifying offshore waters as underrecognized ARG reservoirs. Establishing a genomic baseline for One Health ARG surveillance, this study underscores the urgent need to integrate offshore regions into global monitoring frameworks to protect marine ecosystems and safeguard public health.202540633655
637930.9675Shotgun metagenome guided exploration of anthropogenically driven resistomic hotspots within Lonar soda lake of India. Anthropogenic activities mediated antibiotic resistance genes (ARGs) in the pristine aquatic bodies (lakes) is raising concern worldwide. Long read shotgun sequencing was used to assess taxonomic diversity, distribution of ARGs and metal resistance genes (MRGs) and mobile genetic elements (MGEs) in six sites within hypersaline Lonar soda lake (India) prone to various anthropogenic activities. Proteobacteria and Euryarchaeota were dominant phyla under domain Bacteria and Archaea respectively. Higher abundance of Bacteroidetes was pragmatic at sites 18LN5 and 18LN6. Functional analysis indicated 26 broad-spectrum ARGs types, not reported earlier in this ecosystem. Abundant ARG types identified were multidrug efflux, glycopepetide, bacitracin, tetracycline and aminogylcoside resistance. Sites 18LN1 and 18LN5 depicted 167 and 160 different ARGs subtypes respectively and rpoB2, bcrA, tetA(48), mupA, ompR, patA, vanR and multidrug ABC transporter genes were present in all samples. The rpoB2 gene was dominant in 18LN1, whereas bcrA gene in 18LN2-18LN6 sites. Around 24 MRGs types were detected with higher abundance of arsenic in 18LN1 and copper in 18LN2-18LN6, signifying metal contamination linked to MRGs. The bacterial taxa Pseudomonas, Thioalkalivibrio, Burkholderia, Clostridium, Paenibacillus, Bacillus and Streptomyces were significantly associated with ARGs. This study highlights the resistomic hotspots in the lake for deploying policies for conservation efforts.202032155479
348840.9674Characteristics of Antibiotic Resistance Genes and Antibiotic-Resistant Bacteria in Full-Scale Drinking Water Treatment System Using Metagenomics and Culturing. The contamination of antibiotic resistance genes (ARGs) may directly threaten human health. This study used a metagenomic approach to investigate the ARG profile in a drinking water treatment system (DWTS) in south China. In total, 317 ARG subtypes were detected; specifically, genes encoding bacitracin, multidrug, and sulfonamide were widely detected in the DWTS. Putative ARG hosts included Acidovorax (6.0%), Polynucleobacter (4.3%), Pseudomonas (3.4%), Escherichia (1.7%), and Klebsiella (1.5%) as the enriched biomarkers in the DWTS, which mainly carried bacitracin, beta-lactam, and aminoglycoside ARGs. From a further analysis of ARG-carrying contigs (ACCs), Stenotrophomonas maltophilia and Pseudomonas aeruginosa were the most common pathogens among the 49 ACC pathogens in the DWTS. The metagenomic binning results demonstrated that 33 high-quality metagenome-assembled genomes (MAGs) were discovered in the DWTS; particularly, the MAG identified as S. maltophilia-like (bin.195) harbored the greatest number of ARG subtypes (n = 8), namely, multidrug (n = 6; smeD, semE, multidrug_transporter, mexE, semB, and smeC), beta-lactam (n = 1; metallo-beta-lactamase), and aminoglycoside [n = 1; aph(3')-IIb]. The strong positive correlation between MGEs and ARG subtypes revealed a high ARG dissemination risk in the DWTS. Based on the pure-culture method, 93 isolates that belong to 30 genera were recovered from the DWTS. Specifically, multidrug-resistant pathogens and opportunistic pathogens such as P. aeruginosa, Bacillus cereus, and S. maltophilia were detected in the DWTS. These insights into the DWTS's antibiotic resistome indicated the need for more comprehensive ARG monitoring and management in the DWTS. Furthermore, more effective disinfection methods need to be developed to remove ARGs in DWTSs, and these findings could assist governing bodies in the surveillance of antibiotic resistance in DWTSs.202135273579
716650.9669Foam shares antibiotic resistomes and bacterial pathogens with activated sludge in wastewater treatment plants. 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.202133373956
726760.9668Antimicrobial resistance transmission in the environmental settings through traditional and UV-enabled advanced wastewater treatment plants: a metagenomic insight. BACKGROUND: Municipal wastewater treatment plants (WWTPs) are pivotal reservoirs for antibiotic-resistance genes (ARGs) and antibiotic-resistant bacteria (ARB). Selective pressures from antibiotic residues, co-selection by heavy metals, and conducive environments sustain ARGs, fostering the emergence of ARB. While advancements in WWTP technology have enhanced the removal of inorganic and organic pollutants, assessing ARG and ARB content in treated water remains a gap. This metagenomic study meticulously examines the filtration efficiency of two distinct WWTPs-conventional (WWTPC) and advanced (WWTPA), operating on the same influent characteristics and located at Aligarh, India. RESULTS: The dominance of Proteobacteria or Pseudomonadota, characterized the samples from both WWTPs and carried most ARGs. Acinetobacter johnsonii, a prevailing species, exhibited a diminishing trend with wastewater treatment, yet its persistence and association with antibiotic resistance underscore its adaptive resilience. The total ARG count was reduced in effluents, from 58 ARGs, representing 14 distinct classes of antibiotics in the influent to 46 and 21 in the effluents of WWTPC and WWTPA respectively. However, an overall surge in abundance, particularly influenced by genes such as qacL, bla(OXA-900), and rsmA was observed. Numerous clinically significant ARGs, including those against aminoglycosides (AAC(6')-Ib9, APH(3'')-Ib, APH(6)-Id), macrolides (EreD, mphE, mphF, mphG, mphN, msrE), lincosamide (lnuG), sulfonamides (sul1, sul2), and beta-lactamases (bla(NDM-1)), persisted across both conventional and advanced treatment processes. The prevalence of mobile genetic elements and virulence factors in the effluents possess a high risk for ARG dissemination. CONCLUSIONS: Advanced technologies are essential for effective ARG and ARB removal. A multidisciplinary approach focused on investigating the intricate association between ARGs, microbiome dynamics, MGEs, and VFs is required to identify robust indicators for filtration efficacy, contributing to optimized WWTP operations and combating ARG proliferation across sectors.202540050994
638170.9667Occurrence and distribution of antibiotic resistance genes in Elymus nutans silage from different altitudes on the Qinghai-Tibetan Plateau. INTRODUCTION: Antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB) have attracted more attentions in fermented feed recently. However, little information is available on the occurrence and distribution of ARGs in ensiled forages in the alpine region of the Qinghai-Tibetan plateau (QTP) with an extremely harsh environment. METHODS: The study investigated the distribution and spread mechanism of ARB and ARGs in Elymus nutans silage along 2600 m (low), 3600 m (medium) and 4600 m (high) altitude in the QTP. RESULTS: The major ARG types in Elymus nutans silage were multidrug, aminoglycoside, bacitracin, beta-lactam and polymyxin, while tnpA and IS91 were the dominant mobile genetic elements (MGEs) subtypes in the Elymus nutans silage. The dominant ARGs were mainly carried by Pantoea, Enterobacter, Serratia, and Lelliottia. Although altitudinal gradient had no influence on the diversity or abundance of other ARGs and MGEs in the Elymus nutans silage (p > 0.05), the network co-occurrence patterns among ARGs, MGEs, and bacteria in high-altitude silage were more complex than that in low- and medium-altitude silages. The dominant clinical ARGs in the alpine silage were bacA and acrF, and the abundance of clinical ARGs decreased with prolonged fermentation time. DISCUSSION: This study provides important data on the status of ARGs in ensiled forage from the alpine region of the QTP.202540458713
716980.9667Distributions of pathogenic bacteria, antibiotic resistance genes, and virulence factors in pig farms in China. The abundance of antibiotic resistance genes (ARGs) in pig feces can lead to their dissemination in the pig farm environment, posing a serious risk to human health through potential exposure and transmission. However, the extent of microbial contamination in pig farms, including ARGs, virulence factor genes (VFGs), mobile genetic elements (MGEs), and human bacterial pathogens (HBPs), is still largely unknown. In this study, metagenomics was employed to identify the composition and characteristics of microorganism communities, ARGs, VFGs, MGEs and HBPs in pig farm environments from seven different regions of China. The results showed that there were significant differences in the composition of microorganisms and Firmicutes, Bacteroides, Proteobacteriahe Spirochaetes were the dominant phyla in the pig farm environment. The abundance and composition of ARGs, VFGs, MGEs and HBPs varied significantly in pig farm environments in different regions, with the abundance in Fujian being significantly higher than that in other regions. In total, 216 ARGs, 479 VFGs, 143 MGEs and 78 HBPs were identified across all pig feces, soil, and wastewater samples. The most prominent ARGs were those related to tetracycline, aminoglycoside, and MLS resistance. Escherichia coli, Arcobacter cryaerophilus, Corynebacterium xerosis, Aerococcus viridans, and Collinsella aerofaciens were the most commonly found HBPs in the pig farm environment. Procrustes analysis and Mantel test results showed a strong correlation between ARGs and HBPs, VFGs and HBPs, and ARGs and VFGs. ARGs were mainly harbored by E. coli, Klebsiella pneumoniae, and Enterococcus faecalis in the pig farm environments. The random forest model indicated that the presence of MGEs (intI1, IS91, and tnpA) was significantly correlated with the total abundance of resistance genes, which can be utilized as an important indicator for measuring resistance genes. The study establishes a foundational understanding of the prevalence and diversity of ARGs, VFGs, and HBPs in pig farm environments, aiding in the development of effective management strategies to mitigate ecological and public health risks.202540609272
349390.9667Studies on the airborne bacterial communities and antimicrobial resistance genes in duck houses based on metagenome and PCR analysis. The threat of antimicrobial resistance (AMR) is on the rise globally, especially with the development of animal husbandry and the increased demand for antibiotics. Livestock and poultry farms, as key sites for prevalence of antibiotic-resistant bacteria (ARB), can spread antimicrobial resistance genes (ARGs) through microbial aerosols and affect public health. In this study, total suspended particulate matter (TSP) and airborne culturable microorganisms were collected from duck houses in Tai'an, Shandong Province, and the bacterial communities and airborne ARGs were analyzed using metagenomics and PCR methods. The results showed that the bacterial communities in the air of duck houses were mainly Actinobacteria, Firmicutes, Proteobactria, Chlamydia, and Bcateroidetes at the phylum level. At the genus level, the air was dominated by Corynebacterium, Jeotgalicoccus, Staphylococcus, Brevibacterium, and Megacoccus, and contained some pathogenic bacteria such as Staphylococcus aureus, Corynebacterium diphtheriae, Klebsiella oxytoca, Acinetobacter baumannii, and Pseudomonas aeruginosa, which were also potential hosts for ARGs. The airborne ARGs were mainly macrolides (10.97%), penicillins (10.73%), cephalosporins (8.91%), streptozotocin (8.91%), and aminoglycosides (8.02%). PCR detected 27 ARGs in airborne culturable microorganisms, and comparative analysis between PCR and the metagenomic data revealed that a total of 9 ARGs were found to the same, including macrolides ErmA, ErmF, tetracyclines tetG, tetX, methicarbamazepines dfrA12, dfrA15, aminoglycosides APH3-VI, ANT2-Ⅰ, and sulfonamides sul2. Moreover, inhalation exposure modeling showed that the workers in duck houses inhaled higher concentrations of ARB, human pathogenic bacteria (HPB) and human pathogenic antibiotic-resistant bacteria (HPARB) than hospital workers. These results provide new insights into airborne microorganisms and ARGs in animal farms and lay the foundation for further study.202438157791
3491100.9666Assessment of seasonal variations in antibiotic resistance genes and microbial communities in sewage treatment plants for public health monitoring. The spread of antimicrobial resistance (AMR) around the globe, especially in the urban cities with high population, is a major concern. Therefore, the current study aims at identifying antibiotic resistant bacteria, microbial community compositions and the quantification of antimicrobial resistant genes from six sewage treatment plants (STPs) across Pune city in Maharashtra, India. A total of 106 isolates obtained were tested against six antibiotics in which the highest resistance was observed against trimethoprim (24.53 %). The qPCR assays of seven antibiotic resistance genes revealed abundance of bla(imp-1) and mecA genes in the summer and monsoon seasons followed by bla(NDM-1) gene in the summer and winter seasons. The alpha diversity indices depicted highest microbial diversity of inlet samples during winter, followed by inlet samples during the summer and monsoon seasons. Comparative analysis revealed Bifidobacterium (51 %), Pseudomonas (28.7 %) and Zoogloea (17.6 %) as the most abundant genera in the inlet samples during the summer, monsoon and winter seasons respectively while Acinetobacter (31 %) and Flavobacterium (23 % in winter and 18.2 % in summer) dominated the outlet samples. The co-network analysis revealed positive and negative interactions in the winter and monsoon but only positive interactions in the summer season. Venn diagrams showed higher abundance of ASVs in the outlet samples than the inlet. The top genera correlated exactly opposite with the pH compared to BOD and COD. PICRUSt2-based functional prediction revealed a higher abundance of methicillin resistance, β-lactamase resistance and multidrug resistance genes in inlet samples while chloramphenicol resistance was found higher in outlet samples. Further, we observed that potential pathogens causing infectious disease such as pertussis, shigellosis and tuberculosis were present in all three seasons.202540320120
3489110.9665Metagenomics-based antibiotic resistance genes diversity and prevalence risk revealed by pathogenic bacterial host in Taihu Lake, China. In recent decades, antibiotics and antibiotic resistance genes (ARGs) have been regarded as emerging pollutants. In Taihu Lake, as a typical representative of freshwater system in China, the ARGs occurrence and abundance was of great importance for ecological risk control and public health protection. In this research, high-throughput sequencing and metagenomics technique were used to investigate the seasonal ARGs profile in overlying water and sediment at typical area of Taihu Lake. Besides, taxonomy pattern of ARGs host bacteria and potential pathogens were identified. The results showed that 33 ARG subtypes and 11 ARG types were detected in research area, among which bacitracin, multidrug and sulfonamides resistance gene were with the highest abundance. The relative abundance of ARGs in overlying water and sediment ranged from 1.68 to 661.05 ppm and from 1.93 to 49.47 ppm, respectively. ARG host (18 bacteria genus) were identified and annotated, among which Clostridium botulinum, Pseudomonas aeruginosa and Klebsiella pneumonia were pathogenic bacteria. The pathogens were mostly detected at Xukou Bay in spring and fall, which might be caused by the inlet water from aquaculture area of Yangcheng Lake. Pseudomonas was the most abundant ARGs host (ant2ib, baca, bl2d_oxa2,mexb, mexf, mexw and oprn), which may facilitate the propagation of ARGs in freshwater system.202234292452
3179120.9665Deciphering 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
3178130.9664Metagenomic analysis reveals the diversity, transmission and potential ecological risks of yak nasal bacteria-carried antibiotic resistance genes in the Sichuan region of Qinghai-Tibet plateau. The Qinghai-Tibet Plateau (QTP) and yaks play respectively vital roles in global and plateau ecosystems. Antibiotic resistance is a global threat to public health, with antibiotic resistance genes (ARGs) being one of the emerging contaminants. However, few studies have investigated the abundance and diversity of ARGs and mobile genetic elements (MGEs) in the yak upper respiratory tract and their surrounding pastures. Moreover, the possible pathways for ARG transmission within these ecosystems have not yet been elucidated. Therefore, we investigated the ARG profiles, MGE profiles, and ARG-carrying host bacteria in yaks and their pasture collected from Ganzi and Aba region in Sichuan Province. Metagenomic analyses showed that 22 ARG types and 5 MGEs types were identified in 18 samples. Multidrug resistance gene (mexT) and bacitracin resistance gene (bacA) was identiffed as hotspots, which may compromise medical treatment options. Co-occurrence network analysis revealed that 12 bacterial genera may be potential hosts at the genus level. The enrich of ARGs and MGEs diversity were observed in QTP (Sichuan province) pasture ecosystems which demands evidence-based interventions to mitigate ARGs transmission risks.202540373403
6795140.9663Interplay of xenobiotic-degrading and antibiotic-resistant microorganisms among the microbiome found in the air, handrail, and floor of the subway station. Investigating the quality of the subway environment, especially regarding antibiotic resistance genes (ARGs) and xenobiotics, conveys ecological and health impacts. In this study, compositions and relations of microorganisms harboring ARGs and xenobiotic degradation and metabolism genes (XDGs) in the Sukhumvit subway station (MRT-SKV) in Bangkok was assessed by analyzing the taxonomic and genetic diversity of the microbiome in the air and on the surfaces of floor and handrail. The major bacteria in the MRT-SKV (including Moraxella, which was abundant in the bioaerosol and handrail samples, and Staphylococcus, which was abundant in the bioaerosol samples) were found to contain both ARGs and XDGs. The co-abundance correlation network revealed notable relationships among bacteria harboring antibiotic resistance genes (ARGs) and xenobiotic degradation genes (XDGs). Significant associations were observed between ARGs linked to glycopeptide and fluoroquinolone resistance and genes associated with benzoate, styrene, and atrazine degradation pathways, as well as between ARGs related to cephamycin, cephalosporin, and MLS resistance and XDGs associated with the cytochrome P450-dependent drug metabolism pathway. These correlations suggested that selective pressure exerted by certain xenobiotics and antibiotics can simultaneously affect both ARGs and XDGs in the environment and should favor correlations and co-survival among ARG- and XDG-containing bacteria in the environments. The correlations may occur via shared mechanisms of resistance to both xenobiotics and antibiotics. Finally, different correlation pairs were seen in different niches (air, handrail, floor) of the subway environment or different geolocations. Thus, the relationship between ARG and XDG pairs most likely depends on the unique characteristics of the niches and on the prominent types of xenobiotics and antibiotics in the subway environment. The results indicated that interactions and connections between microbial communities can impact how they function. These microorganisms can have profound effects on accumulation of xenobiotics and ARGs in the MRT-SKV.202438246293
3484150.9662Occurrence of human pathogenic bacteria carrying antibiotic resistance genes revealed by metagenomic approach: A case study from an aquatic environment. Antibiotic resistance genes (ARGs), human pathogenic bacteria (HPB), and HPB carrying ARGs are public issues that pose a high risk to aquatic environments and public health. Their diversity and abundance in water, intestine, and sediments of shrimp culture pond were investigated using metagenomic approach. A total of 19 classes of ARGs, 52 HPB species, and 7 species of HPB carrying ARGs were found. Additionally, 157, 104, and 86 subtypes of ARGs were detected in shrimp intestine, pond water, and sediment samples, respectively. In all the samples, multidrug resistance genes were the highest abundant class of ARGs. The dominant HPB was Enterococcus faecalis in shrimp intestine, Vibrio parahaemolyticus in sediments, and Mycobacterium yongonense in water, respectively. Moreover, E. faecalis (contig Intestine_364647) and Enterococcus faecium (contig Intestine_80272) carrying efrA, efrB and ANT(6)-Ia were found in shrimp intestine, Desulfosaricina cetonica (contig Sediment_825143) and Escherichia coli (contig Sediment_188430) carrying mexB and APH(3')-IIa were found in sediments, and Laribacter hongkongensis (contig Water_478168 and Water_369477), Shigella sonnei (contig Water_880246), and Acinetobacter baumannii (contig Water_525520) carrying sul1, sul2, ereA, qacH, OXA-21, and mphD were found in pond water. Mobile genetic elements (MGEs) analysis indicated that horizontal gene transfer (HGT) of integrons, insertion sequences, and plasmids existed in shrimp intestine, sediment, and water samples, and the abundance of integrons was higher than that of other two MGEs. The results suggested that HPB carrying ARGs potentially existed in aquatic environments, and that these contributed to the environment and public health risk evaluation.201930952342
6858160.9662Antibiotic resistance genes risks in relation to host pathogenicity and mobility in a typical hospital wastewater treatment process. Hospital wastewaters (HWWs) serve as critical reservoirs for disseminating antibiotic resistance genes (ARGs) and antibiotic resistant bacteria (ARB). However, the dynamics and noteworthy shifts of ARGs and their associated pathogenicity, mobility, and resistome risks during HWWs treatment processes remain poorly understood. Utilizing metagenomic sequencing and assembly, we identified 817 ARG subtypes conferring resistance to 20 classes of antibiotics across 18 HWW samples from influent to effluent. Genes encoding resistance to multidrug, aminoglycoside and beta_lactam were the most prevalent ARG types, reflecting patterns observed in clinical settings. On-site treatment efforts decreased the relative abundance of ARGs by 77.4% from influent to secondary sedimentation, whereas chlorine disinfection significantly increased their abundance in the final effluent. Deterministic processes primarily drove the taxonomic assembly, with Proteobacteria being the most abundant phylum and serving as the primary host for 15 ARG types. Contig-based analysis further revealed 114 pathogenic ARB, with Escherichia coli, Pseudomonas alcaligenes, and Pseudomonas aeruginosa exhibiting multidrug-resistant. The contributions of host bacteria and pathogenic ARB varied throughout wastewater treatment. In addition, 7.10%-31.0 % ARGs were flanked by mobile genetic elements (MGEs), predominantly mediated by transposase (74.1%). Notably, tnpA exhibited the highest potential for ARG dissemination, frequently co-occurring with beta-lactam resistance genes (35.2%). Considering ARG profiles, pathogenic hosts, and transferability, raw influent exhibited the highest antibiotic resistome risk index (ARRI), followed by the final effluent. Chlorine disinfection exacerbated resistome risks by inducing potential pathogenic ARB and mobile ARGs, posing threats to the receiving environment. This study delineates ARG occurrence patterns, highlights mechanisms of ARG carriage and horizontal gene transfer, and provides insights for assessing resistance risks and prioritizing interventions in clinical settings.202438964571
6384170.9661Tidal flat aquaculture pollution governs sedimentary antibiotic resistance gene profiles but not bacterial community based on metagenomic data. Coastal tidal flats are intersection zones between terrestrial and marine environments and are considered repositories of pollutants from anthropogenic activities (e.g., fishery and aquaculture). Specifically, the prevalence of antibiotics and antibiotic resistance genes (ARGs) in coastal aquaculture environments pose critical threats to estuarine ecosystems. However, the contribution of aquaculture to the occurrence and abundance of ARGs and community assemblies has not been fully explored in tidal flat zones. Thus, we investigated ARGs profiles, ARG-carrying host bacteria, and their associate microbial community in the Dongtai and Sheyang tidal flat aquaculture regions of Jiangsu, China using metagenomic assembly methods. The antibiotic concentrations in the sediment samples ranged from nd to 35.50 ng/g dw, and the antibiotic pollution in the Dongtai tidal flat was more severe than in the Sheyang tidal flats. Metagenomic assembly indicated that a total of 247 ARG subtypes associated with ARG 33 types were characterized across all samples and their abundance in the Dongtai region exceeded that in the Sheyang region. Meanwhile, 21 bacteria in the tidal flat aquaculture were identified as ARG-carrying pathogens, including Escherichia coli, Vibrio fluvialis, and Staphylococcus aureus. Using neutral and null modeling analysis to determine the community ecological processes, the results revealed bacterial and ARG communities were generally dominated by stochastic and deterministic processes, respectively. The above results suggested that aquaculture pollution was contributed to shape ARG profiles in tidal flats. The observed deterministic processes affecting the ARG community in tidal flat aquaculture also provides an effective foundation to control the risks of environmental antibiotic resistance through reducing aquaculture antibiotic usage.202235421458
6793180.9661Interplays between cyanobacterial blooms and antibiotic resistance genes. Cyanobacterial harmful algal blooms (cyanoHABs), which are a form of microbial dysbiosis in freshwater environments, are an emerging environmental and public health concern. Additionally, the freshwater environment serves as a reservoir of antibiotic resistance genes (ARGs), which pose a risk of transmission during microbial dysbiosis, such as cyanoHABs. However, the interactions between potential synergistic pollutants, cyanoHABs, and ARGs remain poorly understood. During cyanoHABs, Microcystis and high microcystin levels were dominant in all the nine regions of the river sampled. The resistome, mobilome, and microbiome were interrelated and linked to the physicochemical properties of freshwater. Planktothrix and Pseudanabaena competed with Actinobacteriota and Proteobacteria during cyanoHABs. Forty two ARG carriers were identified, most of which belonged to Actinobacteriota and Proteobacteria. ARG carriers showed a strong correlation with ARGs density, which decreased with the severity of cyanoHAB. Although ARGs decreased due to a reduction of ARG carriers during cyanoHABs, mobile gene elements (MGEs) and virulence factors (VFs) genes increased. We explored the relationship between cyanoHABs and ARGs for potential synergistic interaction. Our findings demonstrated that cyanobacteria compete with freshwater commensal bacteria such as Actinobacteriota and Proteobacteria, which carry ARGs in freshwater, resulting in a reduction of ARGs levels. Moreover, cyanoHABs generate biotic and abiotic stress in the freshwater microbiome, which may lead to an increase in MGEs and VFs. Exploration of the intricate interplays between microbiome, resistome, mobilome, and pathobiome during cyanoHABs not only revealed that the mechanisms underlying the dynamics of microbial dysbiosis but also emphasizes the need to prioritize the prevention of microbial dysbiosis in the risk management of ARGs.202337897871
7158190.9661Antibiotic resistome, potential pathogenic bacteria and associated health risk in geogenic chromium groundwater. Geogenic chromium (Cr) contamination in groundwater poses a global environmental challenge. However, with antibiotic resistance remaining a public health threat, the occurrence and associated health risks of antibiotic resistomes in Cr contaminated groundwater and their linkages to geogenic Cr are poorly understood. Here, we assessed the groundwater microbiome, potential pathogenic bacteria, and antibiotic resistomes with associated health risks in geogenic Cr impacted groundwater across shallow (<100 m) and deep (>100 m) aquifers in a plateau from Northwestern China. A total of 174 antibiotic resistance genes (ARGs) were detected with absolute abundances reaching 1.28 × 10(8) copies/L. Shallow and deep groundwater harbored distinct ARG profiles with significantly higher abundance and associated health risks presented in shallow groundwater (p < 0.01). A total of 332 potential pathogenic bacteria were identified, abundances of which 53.9 % were strongly correlated to the prevalent ARGs. Toxic Cr(VI) as a potential co-selective agent was positively associated with elevated ARG-linked potential pathogenic bacteria and mobile genetic elements (MGEs). Our findings collectively revealed the geogenic Cr contaminated groundwater as a significant reservoir of ARGs and potential pathogens, highlighting the dual risks of geogenic Cr as both a toxicant and promoter for accelerating ARGs within aquifers.202541072644