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259400.9956Longitudinal changes in the nasopharyngeal resistome of South African infants using shotgun metagenomic sequencing. INTRODUCTION: Nasopharyngeal (NP) colonization with antimicrobial-resistant bacteria is a global public health concern. Antimicrobial-resistance (AMR) genes carried by the resident NP microbiota may serve as a reservoir for transfer of resistance elements to opportunistic pathogens. Little is known about the NP antibiotic resistome. This study longitudinally investigated the composition of the NP antibiotic resistome in Streptococcus-enriched samples in a South African birth cohort. METHODS: As a proof of concept study, 196 longitudinal NP samples were retrieved from a subset of 23 infants enrolled as part of broader birth cohort study. These were selected on the basis of changes in serotype and antibiogram over time. NP samples underwent short-term enrichment for streptococci prior to total nucleic acid extraction and whole metagenome shotgun sequencing (WMGS). Reads were assembled and aligned to pneumococcal reference genomes for the extraction of streptococcal and non-streptococcal bacterial reads. Contigs were aligned to the Antibiotic Resistance Gene-ANNOTation database of acquired AMR genes. RESULTS: AMR genes were detected in 64% (125/196) of the samples. A total of 329 AMR genes were detected, including 36 non-redundant genes, ranging from 1 to 14 genes per sample. The predominant AMR genes detected encoded resistance mechanisms to beta-lactam (52%, 172/329), macrolide-lincosamide-streptogramin (17%, 56/329), and tetracycline antibiotics (12%, 38/329). MsrD, ermB, and mefA genes were only detected from streptococcal reads. The predominant genes detected from non- streptococcal reads included blaOXA-60, blaOXA-22, and blaBRO-1. Different patterns of carriage of AMR genes were observed, with only one infant having a stable carriage of mefA, msrD and tetM over a long period. CONCLUSION: This study demonstrates that WMGS can provide a broad snapshot of the NP resistome and has the potential to provide a comprehensive assessment of resistance elements present in this niche.202032320455
258510.9952A scoping review of the prevalence of antimicrobial-resistant pathogens and signatures in ready-to-eat street foods in Africa: implications for public health. BACKGROUND AND OBJECTIVE: Despite its critical role in individual and societal health, food hygiene remains underexplored. Antibiotic-resistant pathogenic bacteria in ready-to-eat (RTE) food threaten public health. This scoping review collected data on the epidemiological prevalence of RTE food-contaminated pathogens resistant to antimicrobial drugs and resistance genes in Africa. METHOD: Using electronic databases, such as PubMed, Scopus, and Web of Science (WoS), handpicked from references, pre-reviewed published articles were retrieved and analyzed according to the PRISMA-ScR guidelines. RESULTS: The findings indicate 40 previewed published articles qualified for meta-synthesis in the scoping review with a population/case ratio of 11,653/5,338 (45.80%). The most frequently reported RTE foods were meat or beef/beef-soup, chicken or poultry products, salads, vegetable salads, and sandwiches, which harboured pathogens such as E. coli, Salmonella, and Staphylococcus. Antibiotic susceptibility tests revealed the use of 48 antibiotics to manage infections, following CLSI (Clinical and Laboratory Standards Institute) protocols. Moreover, 10 authors reported 54 resistance genes associated with pathogenic resistant bacteria. In addition, only 15 studies received funding or financial support. CONCLUSION: These findings from several researchers indicate that RTE street foods in African and resource-limited nations harbour enteric pathogens and are a significant concern to the public health system and reservoir of the spread of antibiotic resistance. This underscores the necessity of implementing effective control strategies to address challenges and limit the spread of resistant bacteria in RTE foods. The antimicrobial resistance surveillance system in the region is a significant concern. Notably, Africa needs to strengthen the national and international regulatory bodies and a health surveillance system on antimicrobial resistance, particularly among developing nations.202540270817
210420.9952A 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
562230.9952Analysis of Antimicrobial Resistance in Bacterial Pathogens Recovered from Food and Human Sources: Insights from 639,087 Bacterial Whole-Genome Sequences in the NCBI Pathogen Detection Database. Understanding the role of foods in the emergence and spread of antimicrobial resistance necessitates the initial documentation of antibiotic resistance genes within bacterial species found in foods. Here, the NCBI Pathogen Detection database was used to query antimicrobial resistance gene prevalence in foodborne and human clinical bacterial isolates. Of the 1,843,630 sequence entries, 639,087 (34.7%) were assigned to foodborne or human clinical sources with 147,788 (23.14%) from food and 427,614 (76.88%) from humans. The majority of foodborne isolates were either Salmonella (47.88%), Campylobacter (23.03%), Escherichia (11.79%), or Listeria (11.3%), and the remaining 6% belonged to 20 other genera. Most foodborne isolates were from meat/poultry (95,251 or 64.45%), followed by multi-product mixed food sources (29,892 or 20.23%) and fish/seafood (6503 or 4.4%); however, the most prominent isolation source varied depending on the genus/species. Resistance gene carriage also varied depending on isolation source and genus/species. Of note, Klebsiella pneumoniae and Enterobacter spp. carried larger proportions of the quinolone resistance gene qnrS and some clinically relevant beta-lactam resistance genes in comparison to Salmonella and Escherichia coli. The prevalence of mec in S. aureus did not significantly differ between meat/poultry and multi-product sources relative to clinical sources, whereas this resistance was rare in isolates from dairy sources. The proportion of biocide resistance in Bacillus and Escherichia was significantly higher in clinical isolates compared to many foodborne sources but significantly lower in clinical Listeria compared to foodborne Listeria. This work exposes the gaps in current publicly available sequence data repositories, which are largely composed of clinical isolates and are biased towards specific highly abundant pathogenic species. We also highlight the importance of requiring and curating metadata on sequence submission to not only ensure correct information and data interpretation but also foster efficient analysis, sharing, and collaboration. To effectively monitor resistance carriage in food production, additional work on sequencing and characterizing AMR carriage in common commensal foodborne bacteria is critical.202438674654
248340.9952Comparative genomic analysis of Proteus spp. isolated from tree shrews indicated unexpectedly high genetic diversity. Proteus spp. are commensal gastrointestinal bacteria in many hosts, but information regarding the mutual relationships between these bacteria and their hosts is limited. The tree shrew is an alternative laboratory animal widely used for human disease research. However, little is known about the relationship between Proteus spp. and tree shrews. In this study, the complete genome sequencing method was used to analyse the characteristics of Proteus spp. isolated from tree shrews, and comparative genomic analysis was performed to reveal their relationships. The results showed that 36 Proteus spp. bacteria were isolated, including 34 Proteus mirabilis strains and two Proteus vulgaris strains. The effective rate of sequencing was 93.53%±2.73%, with an average GC content of 39.94%±0.25%. Briefly, 3682.89±90.37, 2771.36±36.01 and 2832.06±42.49 genes were annotated in the NCBI non-redundant nucleotide database (NR), SwissProt database and KEGG database, respectively. The high proportions of macrolide-, vancomycin-, bacitracin-, and tetracycline-resistance profiles of the strains were annotated in the Antibiotic Resistance Genes Database (ARDB). Flagella, lipooligosaccharides, type 1 fimbriae and P fimbriae were the most abundantly annotated virulence factors in the Virulence Factor Database (VFDB). SNP variants indicated high proportions of base transitions (Ts), homozygous mutations (Hom) and non-synonymous mutations (Non-Syn) in Proteus spp. (P<0.05). Phylogenetic analysis of Proteus spp. and other references revealed high genetic diversity for strains isolated from tree shrews, and host specificity of Proteus spp. bacteria was not found. Overall, this study provided important information on characteristics of genome for Proteus spp. isolated from tree shrews.202032084183
512250.9952Clinical long-read metagenomic sequencing of culture-negative infective endocarditis reveals genomic features and antimicrobial resistance. BACKGROUND: Infective endocarditis (IE) poses significant diagnostic challenges, particularly in blood culture-negative cases where fastidious bacteria evade detection. Metagenomic-based nanopore sequencing enables rapid pathogen detection and provides a new approach for the diagnosis of IE. METHOD: Two cases of blood culture-negative infective endocarditis (IE) were analyzed using nanopore sequencing with an in silico host-depletion approach. Complete genome reconstruction and antimicrobial resistance gene annotation were successfully performed. RESULTS: Within an hour of sequencing, EPI2ME classified nanopore reads, identifying Corynebacterium striatum in IE patient 1 and Granulicatella adiacens in IE patient 2. After 18 h, long-read sequencing successfully reconstructed a single circular genome of C. striatum in IE patient 1, whereas short-read sequencing was used to compare but produced fragmented assemblies. Based on these results, long-read sequencing was exclusively used for IE patient 2, allowing for the complete and accurate assembly of G. adiacens, confirming the presence of these bacteria in the clinical samples. In addition to pathogen identification, antimicrobial resistance (AMR) genes were detected in both genomes. Notably, in C. striatum, regions containing a class 1 integron and multiple novel mobile genetic elements (ISCost1, ISCost2, Tn7838 and Tn7839) were identified, collectively harbouring six AMR genes. This is the first report of such elements in C. striatum, highlighting the potential of nanopore long-read sequencing for comprehensive pathogen characterization in IE cases. CONCLUSIONS: This study highlights the effectiveness of host-depleted, long-read nanopore metagenomics for direct pathogen identification and accurate genome reconstruction, including antimicrobial resistance gene detection. The approach enables same-day diagnostic reporting within a matter of hours. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-025-11741-5.202541087996
254060.9952Equine sinusitis aetiology is linked to sinus microbiome by amplicon sequencing. BACKGROUND: Information regarding the microbiome in sinusitis using genetic sequencing is lacking and more-in-depth understanding of the microbiome could improve antimicrobial selection and treatment outcomes for cases of primary sinusitis. OBJECTIVES: To describe sinus microbiota in samples from horses with sinusitis and compare microbiota and the presence of antimicrobial resistance genes between primary, dental-related and other secondary causes of sinusitis. STUDY DESIGN: Retrospective case series. METHODS: Records of equine sinusitis from 2017 to 2021 were reviewed and historical microbial amplicon sequence data were obtained from clinical diagnostic testing of sinus secretions. Following bioinformatic processing of bacterial and fungal sequence data, the sinus microbiota and importance of sinusitis aetiology among other factors were investigated from the perspectives of alpha diversity (e.g., number of operational taxonomic units [OTUs], Hill1 Diversity), beta diversity, and differentially abundant taxa. Quantitative PCR allowed for comparisons of estimated bacterial abundance and detection rate of common antibiotic resistance-associated genes. In a smaller subset, longitudinal analysis was performed to evaluate similarity in samples over time. RESULTS: Of 81 samples analysed from 70 horses, the bacterial microbiome was characterised in 66, and fungal in five. Only sinusitis aetiology was shown to significantly influence microbiome diversity and composition (p < 0.05). Dental-related sinusitis (n = 44) was associated with a significantly higher proportion of obligate anaerobic bacteria, whereas primary sinusitis (n = 12) and other (n = 10) groups were associated with fewer bacteria and higher proportions of facultative anaerobic and aerobic genera. Antimicrobial resistance genes and fungal components were exclusively identified in dental-related sinusitis. MAIN LIMITATIONS: Retrospective nature, incomplete prior antimicrobial administration data. CONCLUSIONS: Molecular characterisation in sinusitis identifies microbial species which may be difficult to isolate via culture, and microbiome profiling can differentiate sinusitis aetiology, which may inform further treatment, including antimicrobial therapy.202336199163
252370.9952Antibiotic resistance and virulence of bacteria in spices: a systematic review. BACKGROUND: Spices, widely valued for their flavor, color, and antioxidant properties, are increasingly used in culinary and food industries. Despite their benefits, spices may act as carriers for antibiotic-resistant and potentially pathogenic bacteria, posing a threat to food safety and public health. METHODS: This systematic review followed the PRISMA 2020 guidelines. A comprehensive search of six databases (Web of Science, PubMed, Scopus, Cochrane Library, Google Scholar, and Embase) was conducted for English-language articles from inception to 2023, focusing on bacterial contamination, antibiotic resistance, and virulence in spices. Inclusion was limited to peer-reviewed articles, and methodological quality was assessed using the JBI checklist. RESULTS: Of the 3,458 initially identified articles, 16 met the inclusion criteria. Most studies originated from Asia (n = 5) and the Americas (n = 4). Bacteria commonly isolated from spices included Bacillus cereus, Escherichia coli, Salmonella spp., and Staphylococcus aureus. High resistance levels were observed against ampicillin (83.3%) and penicillin (82.1%), while most isolates were susceptible to polymyxin B and cephalothin. Resistance genes such as bla, tetK, and ermB were frequently detected, along with virulence genes like nheA, hblC, cytK, and tpeL. CONCLUSION: Spices may serve as reservoirs for multidrug-resistant and virulent bacteria. Improved handling, processing, and decontamination practices are essential to mitigate foodborne risks and curb the spread of antimicrobial resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42522-025-00172-6.202541088443
252480.9951Phenotypic 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
210290.9951Phenotypic and genotypic landscape of antibiotic resistance through One Health approach in Sri Lanka: A systematic review. OBJECTIVES: Antibiotic resistance (ABR) constitutes a significant burden to economies in developing countries. In the 'One-Health' concept, ABR in human, animals, and environment is interconnected. The aim of this study was to critically appraise literature on ABR in all three domains in One Health, within the Sri Lankan geographical context. METHODS: The protocol was registered with PROSPERO and followed PRISMA 2020 guidelines. A comprehensive electronic literature search was conducted in PubMed, Scopus, Web of Science databases and grey literature via Google Scholar. Out of 298 abstracts, 37 articles were selected following screening. A risk of bias assessment was conducted using Joanna Briggs Institute tools. Following blinded data extraction, descriptive data analysis and narrative synthesis were performed. RESULTS: This review included studies published between 2016-2023. Of the included studies, 17 (45.9%) reported data on samples obtained from humans, 9 (24.3%) from animals, and 6 (16.2%) from environmental sources, two studies (5.4%) from humans and animals, one study on animal and environment; whereas two studies including all three domains. ABR of 32 different bacteria (Gram negative⸺17, Gram positive⸺14) was retrieved; E. coli was the most frequently studied bacteria followed by MRSA and ESBL. For E. coli, a median resistance over 50% was reported for sulfamethoxazole (88.8%), trimethoprim (79.1%), ampicillin (60%) and tetracycline (50.3%) with the highest resistance for erythromycin (98%). Of a total of 21 antibiotic-resistance genes in E. coli, the highest genotypic resistance was for tet-A (48.5%). CONCLUSIONS: A comprehensive description of ABR for a total of 32 bacteria, 62 antibiotics and 46 ABR genes is presented. This review discusses the contemporary ABR landscape in Sri Lanka through the One Health lens, highlighting key methodological and empirical research gaps.202539763328
5465100.9951The genotypic characterization of Streptococcus pluranimalium from aborted bovine fetuses in British Columbia, Canada. INTRODUCTION: Bovine abortions result in significant economic losses to dairy producers, and bacteria are among the most common causes of these abortions. In 2021, Streptococcus pluranimalium was isolated from a dairy abortion case for the first time in British Columbia (BC), Canada. This bacterium has previously been recovered from the reproductive tracts of dairy cattle and various other species, including humans. METHODS: Between 2021 and 2023, S. pluranimalium was isolated from the placenta, fetal lung, and/or fetal abomasal contents of 10 aborted dairy fetuses submitted for routine abortion diagnostics. This study was conducted to better characterize the genotype of these 10 isolates. The histopathology of the bovine abortions was examined, and the BC strains were sequenced using Nanopore technology and underwent bioinformatic analysis. RESULTS: The BC strains had an average genome size of 2,313,582 base pairs and an average GC content of 38.59%. Based on whole genome phylogeny, the BC strains were clustered together and distinctly separated from other publicly available strains of this species from different regions and isolation sources. Through Clusters of Orthologous Groups analysis, the BC strains contained a larger proportion of genes associated with the mobilome. Additionally, although we identified only a few antibiotic resistance genes or virulence factors (VFs) in these strains, several of these genes were located within prophage sequences. DISCUSSION: Although the clinical and pathological significance of these bacteria in most abortion cases remains unclear, our findings underscore the importance of continued surveillance and research into uncommon pathogens to better understand their biology and potential impact on human and animal health.202540574982
2101110.9951Antibiotic resistance genes circulating in Nigeria: a systematic review and meta-analysis from the One Health perspective. BACKGROUND: The misuse of antibiotics in developing countries has created serious threats to public healthcare systems and reduced treatment options. Multidrug-resistant bacteria harbour antibiotic resistance genes that help them subdue the effectiveness of several available antibiotics. This review aimed to assess antimicrobial resistance genes circulating in Nigeria via a systematic review and meta-analysis. METHODS: A comprehensive literature search was performed using five electronic databases: PubMed, Web of Science, Scopus, Google Search, and African Journals Online (AJOL). Articles related to antibiotic resistance genes in Nigeria, published between January 1, 2015 and October 31, 2024, were included. The Newcastle-Ottawa scale (NOS) was used to assess the risk of bias. The meta-analysis for random effects was performed to determine the proportions and pooled prevalence of the resistance genes from the various One Health domains, as well as heterogeneity in the data, using R software (Version 4.3.3) and the metaprop package. RESULTS: Of the 762 articles retrieved, 56 (humans [n = 33], animals [n = 8], environment [n = 12], human/animal [n = 1], and human/animal/environment [n = 2]) from the six geopolitical zones in Nigeria met the inclusion criteria. The extended-spectrum beta-lactamase (ESBL) gene with the highest pooled prevalence was blaSHV (24.0% [95% CI: 12.0–44.0]), followed by blaCTX-M (23.0% [95% CI: 14.0–37.0]), and the least was blaTEM (18.0% [95% CI: 8.0–37.0]). Among the carbapenemase genes, blaKPC (33.0% [95% CI: 7.0–76.0]) was the most prevalent, followed by blaNDM (21.0% [95% CI: 9.0–41.0]), blaOXA (11.0% [95% CI: 2.0–46.0]) and the least was blaVIM (9.0% [95% CI: 3.0–26.0]). The mecA gene also had a high pooled prevalence (51.0% [95% CI: 14.0–86.0]). The pooled prevalence of the erm, sul, tet, and qnr genes ranged from 19.0% (95% CI: 8.0–38.0) to 27.0% (95% CI: 13.0–47.0). Some antibiotic resistance genes were shared among the three domains. CONCLUSION: This systematic review and meta-analysis has demonstrated the co-existence of antibiotic resistance genes among bacteria causing infection in Nigeria, via the One Health approach. There is a need for future research on the circulation of antibiotic resistance genes in developing countries using internationally approved approaches to track down this menace. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-025-02163-y.202540619397
5236120.9951Genome characterization of a multi-drug resistant Escherichia coli strain, L1PEag1, isolated from commercial cape gooseberry fruits (Physalis peruviana L.). INTRODUCTION: Foodborne infections, which are frequently linked to bacterial contamination, are a serious concern to public health on a global scale. Whether agricultural farming practices help spread genes linked to antibiotic resistance in bacteria associated with humans or animals is a controversial question. METHODS: This study applied a long-read Oxford Nanopore MinION-based sequencing to obtain the complete genome sequence of a multi-drug resistant Escherichia coli strain (L1PEag1), isolated from commercial cape gooseberry fruits (Physalis peruviana L.) in Ecuador. Using different genome analysis tools, the serotype, Multi Locus Sequence Typing (MLST), virulence genes, and antimicrobial resistance (AMR) genes of the L1PEag1 isolate were determined. Additionally, in vitro assays were performed to demonstrate functional genes. RESULTS: The complete genome sequence of the L1PEag1 isolate was assembled into a circular chromosome of 4825.722 Kbp and one plasmid of 3.561 Kbp. The L1PEag1 isolate belongs to the B2 phylogroup, sequence type ST1170, and O1:H4 serotype based on in silico genome analysis. The genome contains 4,473 genes, 88 tRNA, 8 5S rRNA, 7 16S rRNA, and 7 23S rRNA. The average GC content is 50.58%. The specific annotation consisted of 4,439 and 3,723 genes annotated with KEEG and COG respectively, 3 intact prophage regions, 23 genomic islands (GIs), and 4 insertion sequences (ISs) of the ISAs1 and IS630 families. The L1PEag1 isolate carries 25 virulence genes, and 4 perfect and 51 strict antibiotic resistant gene (ARG) regions based on VirulenceFinder and RGI annotation. Besides, the in vitro antibiotic profile indicated resistance to kanamycin (K30), azithromycin (AZM15), clindamycin (DA2), novobiocin (NV30), amikacin (AMK30), and other antibiotics. The L1PEag1 isolate was predicted as a human pathogen, matching 464 protein families (0.934 likelihood). CONCLUSION: Our work emphasizes the necessity of monitoring environmental antibiotic resistance, particularly in commercial settings to contribute to develop early mitigation techniques for dealing with resistance diffusion.202439104589
2103130.9950Antibiotic resistance in hospital wastewater in West Africa: a systematic review and meta-analysis. BACKGROUND: The occurrence of antibiotic-resistant bacteria (ARB) has become a global menace and therefore increases morbidity, mortality and healthcare costs. Globally, hospital wastewater (HWW) has been identified as a significant source of antibiotic-resistant elements. OBJECTIVES: This review aims to systematically review and to perform meta-analyses from evidence on antibiotic resistance studies in HWW in West Africa. METHODS: The review was conducted in compliance with PRISMA and included studies published between 1990 and 2024 in West Africa from the Scopus, PubMed, and Web of Science databases. Eligible studies that characterized resistant bacteria, genes, or antibiotic residues in HWW were included. Meta-analyses for resistant bacteria and genes as well risk of bias using the Newcastle-Ottawa scale were conducted. RESULTS: Out of 23 studies reviewed, resistant bacteria were reported in 39% (E. coli), 26% (K. pneumoniae), and 17% (P. aeruginosa), while 17 studies reported ARGs, with blaTEM (29%), blaOXA- 48 (18%), blaSHV (18%), and mecA (18%) being the most common. Only 4% and 9% of studies focused on toxin genes and antibiotic residues, respectively. Meta-analysis showed pooled prevalence rates for resistant bacteria: E. coli 42.6% (95% CI: 26.7%-60.3%) and K. pneumoniae 32.1% (95% Cl: 28.8%- 36.5%), and ARGs: blaTEM 76.0% (95% CI = 64.6%-84.6%) and blaSHV 59.3% (95% CI = 19.5%-89.8%). CONCLUSION: This systematic review highlights significant findings of high levels of ARGs and ARBs of public health concern in HWW in West Africa. This highlights the need to improve upon the monitoring of antibiotic resistance and treatment of HWW in West Africa.202540217451
1857140.9950Diverse Acinetobacter in retail meat: a hidden vector of novel species and antimicrobial resistance genes, including plasmid-borne bla(OXA-58), mcr-4.3 and tet(X3). Acinetobacter species, particularly Acinetobacter baumannii, are recognized pathogens in clinical settings, yet their presence in food systems, including fresh meat remains underexplored. This comprehensive study investigated the prevalence, diversity, concentration, and antimicrobial resistance of Acinetobacter spp. in 100 fresh meat samples from diverse animal sources across various packaging conditions. Acinetobacter isolates were initially characterized by MALDI-TOF MS, with comprehensive genomic characterization through whole-genome sequencing (WGS) of 116 representative isolates. Taxonomic refinement was performed using GTDB-Tk, core-genome, rpoB gene and Average Nucleotide Identity (ANI) phylogenomic approaches. Antimicrobial resistance genes (ARGs), and their plasmidic locations, were identified, and antimicrobial susceptibility profiles were determined for 33 A. baumannii isolates. Acinetobacter spp. were detected in 74 % of samples, with turkey meat showing the highest occurrence. The counts of this bacterium ranged from < 0.23 to 3.13 log(10) CFU/g. A total of 20 know species and 2 putative novel Acinetobacter species were identified by genomic analysis. Moreover, 16 novel A. baumannii sequence types (STs) were identified. ARG profiling revealed a complex resistome, including plasmid-located ARGs spanning multiple antibiotic classes. Critical findings include the presence of plasmid-borne bla(OXA-58), mcr-4.3, and tet(X3) genes. This study expands our understanding of Acinetobacter spp. diversity and reveals fresh meat as a significant vector for this genus, including species associated with human infections. Moreover, the detection of diverse resistance genes, including some associated with plasmids and conferring resistance to critically important antibiotics, underscores the potential public health implications of meat as a transmission pathway for these bacteria.202540513431
2272150.9950Routine wastewater-based monitoring of antibiotic resistance in two Finnish hospitals: focus on carbapenem resistance genes and genes associated with bacteria causing hospital-acquired infections. BACKGROUND: Wastewater-based monitoring represents a useful tool for antibiotic resistance surveillance. AIM: To investigate the prevalence and abundance of antibiotic resistance genes (ARGs) in hospital wastewater over time. METHODS: Wastewater from two hospitals in Finland (HUS1 and HUS2) was monitored weekly for nine weeks (weeks 25-33) in summer 2020. A high-throughput real-time polymerization chain reaction (HT-qPCR) system was used to detect and quantify 216 ARGs and genes associated with mobile genetic elements (MGEs), integrons, and bacteria causing hospital-acquired infections (HAIs), as well as the 16S rRNA gene. Data from HT-qPCR were analysed and visualized using a novel digital platform, ResistApp. Eight carbapenem resistance genes (blaGES, blaKPC, blaVIM, blaNDM, blaCMY, blaMOX, blaOXA48, and blaOXA51) and three genes associated with bacteria causing HAIs (Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa) were studied. FINDINGS: There was a significantly higher number of ARGs at both hospitals in weeks 27-30 (174-191 genes) compared to other sampling weeks (151-171 genes). Our analyses also indicated that the two hospitals, which used different amounts of antibiotics, had significantly different resistance gene profiles. Carbapenem resistance genes were more prevalent and abundant in HUS1 than HUS2. Across both hospitals, blaGES and blaVIM were the most prevalent and abundant. There was also a strong positive association between blaKPC and K. pneumoniae in HUS1 wastewater. CONCLUSION: Routine wastewater-based monitoring using ResistApp can provide valuable information on the prevalence and abundance of ARGs in hospitals. This helps hospitals understand the spread of antibiotic resistance in hospitals and identify potential areas for intervention.202134537275
1809160.9950Deciphering antibiotic resistance genes and plasmids in pathogenic bacteria from 166 hospital effluents in Shanghai, China. Although previous studies using phenotypic or metagenomic approaches have revealed the patterns of antibiotic resistance genes (ARGs) in hospital effluents in local regions, limited information is available regarding the antibiotic resistome and plasmidome in human pathogenic bacteria in hospital effluents of megacity in China. To address this knowledge gap, we analyzed effluent samples from 166 hospitals across 13 geographical districts in Shanghai, China, using both cultivation-based approaches and metagenomics. A total of 357 strains were isolated from these samples, with the predominant species being Escherichia coli (n = 61), Aeromonas hydrophila (n = 57), Klebsiella pneumoniae (n = 48), and Aeromonas caviae (n = 42). Those identified indicator bacteria were classified into biosafety level 1 (BSL-1, 60 %) and BSL-2 (40 %). We identified 1237 ARG subtypes across 22 types, predominantly including beta-lactam, tetracycline, multidrug, polymyxin, and aminoglycoside resistance genes, using culture-enriched phenotypic metagenomics. Mobile genetic elements such as plasmids, transposons (tnpA), integrons (intI1), and insertion sequences (IS91) were abundant. We recovered 135 plasmids classified into mobilizable (n = 94) and non-mobilizable (n = 41) types. Additionally, 80 metagenome-assembled genomes (MAGs) were reconstructed from the hospital effluents for the assessment of ARG transmission risks, including genes for last-line antibiotics such as bla(NDM), bla(KPC), bla(imiH), and mcr. This study is the first to comprehensively characterize and assess the risk of antimicrobial resistance levels and plasmidome in the hospital effluents of China's megacity, providing city-wide surveillance data and evidence to inform public health interventions.202539612873
3641170.9950A survey on antimicrobial resistance genes of frequently used probiotic bacteria, 1901 to 2022. BackgroundAntimicrobial resistance (AMR) is caused by AMR determinants, mainly genes (ARGs) in the bacterial genome. Bacteriophages, integrative mobile genetic elements (iMGEs) or plasmids can allow ARGs to be exchanged among bacteria by horizontal gene transfer (HGT). Bacteria, including bacteria with ARGs, can be found in food. Thus, it is conceivable that in the gastrointestinal tract, bacteria from the gut flora could take up ARGs from food.AimThe study objective was to gain insight into the ARG set carried by commonly used probiotic bacteria that may enter the human body with non-fermented foods, fermented foods, or probiotic dietary supplements (FFPs) and to assess ARG mobility.MethodsNext generation sequencing whole genome data from 579 isolates of 12 commonly employed probiotic bacterial species were collected from a public repository. Using bioinformatical tools, ARGs were analysed and linkage with mobile genetic elements assessed.ResultsResistance genes were found in eight bacterial species. The ratios of ARG positive/negative samples per species were: Bifidobacterium animalis (65/0), Lactiplantibacillus plantarum (18/194), Lactobacillus delbrueckii (1/40), Lactobacillus helveticus (2/64), Lactococcus lactis (74/5), Leucoconstoc mesenteroides (4/8), Levilactobacillus brevis (1/46), Streptococcus thermophilus (4/19). In 66% (112/169) of the ARG-positive samples, at least one ARG could be linked to plasmids or iMGEs. No bacteriophage-linked ARGs were found.ConclusionThe finding of potentially mobile ARGs in probiotic strains for human consumption raises awareness of a possibility of ARG HGT in the gastrointestinal tract. In addition to existing recommendations, screening FFP bacterial strains for ARG content and mobility characteristics might be considered.202337022212
2557180.9949Consumer Exposure to Antimicrobial Resistant Bacteria From Food at Swiss Retail Level. Background: Antimicrobial resistance (AMR) in bacteria is an increasing health concern. The spread of AMR bacteria (AMRB) between animals and humans via the food chain and the exchange of AMR genes requires holistic approaches for risk mitigation. The AMRB exposure of humans via food is currently only poorly understood leaving an important gap for intervention design. Method: This study aimed to assess AMRB prevalence in retail food and subsequent exposure of Swiss consumers in a systematic literature review of data published between 1996 and 2016 covering the Swiss agriculture sector and relevant imported food. Results: Data from 313 out of 9,473 collected studies were extracted yielding 122,438 food samples and 38,362 bacteria isolates of which 30,092 samples and 8,799 isolates were AMR positive. A median AMRB prevalence of >50% was observed for meat and seafood harboring Campylobacter, Enterococcus, Salmonella, Escherichia coli, Listeria, and Vibrio spp. and to a lesser prevalence for milk products harboring starter culture bacteria. Gram-negative AMRB featured predominantly AMR against aminoglycosides, cephalosporins, fluoroquinolones, penicillins, sulfonamides, and tetracyclines observed at AMR exposures scores of levels 1 (medium) and 2 (high) for Campylobacter, Salmonella, E. coli in meat as well as Vibrio and E. coli in seafood. Gram-positive AMRB featured AMR against glycoproteins, lincosamides, macrolides and nitrofurans for Staphylococcus and Enterococcus in meat sources, Staphylococcus in seafood as well as Enterococcus and technologically important bacteria (incl. starters) in fermented or processed dairy products. Knowledge gaps were identified for AMR prevalence in dairy, plant, fermented meat and novel food products and for the role of specific indicator bacteria (Staphylococcus, Enterococcus), starter culture bacteria and their mobile genetic elements in AMR gene transfer. Conclusion: Raw meat, milk, seafood, and certain fermented dairy products featured a medium to high potential of AMR exposure for Gram-negative and Gram-positive foodborne pathogens and indicator bacteria. Food at retail, additional food categories including fermented and novel foods as well as technologically important bacteria and AMR genetics are recommended to be better integrated into systematic One Health AMR surveillance and mitigation strategies to close observed knowledge gaps and enable a comprehensive AMR risk assessment for consumers.201829559960
1812190.9949Pathogen 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