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Tree M, Lam TJGM, McDougall S, Beggs DS, Robertson ID, Barnes AL, Chopra A, Ram R, Stockman CA, Kent TC, Aleri JW. Epidemiology of antimicrobial resistance in commensal E. coli from healthy dairy cattle on a Mediterranean pasture-based system of Australia: A cross-sectional study. J Dairy Sci 2024:S0022-0302(24)01191-3. [PMID: 39369890 DOI: 10.3168/jds.2024-25157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 09/05/2024] [Indexed: 10/08/2024]
Abstract
This study aimed to determine the prevalence of antimicrobial resistance (AMR) in commensal E. coli from healthy lactating cows and calves in the Mediterranean pasture-based feeding dairy system of Western Australia (WA). Fecal samples were collected from healthy adult lactating cows and healthy calves from dairy farms in WA. Presumptive commensal E. coli was isolated from these samples and confirmed using matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Broth microdilution was used to assess the prevalence and the phenotypic AMR profiles of the E. coli isolates to 8 antimicrobial agents of dairy industry and human importance. The minimum inhibitory concentration (MIC) for each isolate was interpreted using the Epidemiologic Cutoff (ECOFF) and Clinical and Laboratory Standards Institute (CLSI) breakpoints. Genomic characterization provided multi-locus sequence types and AMR genes for a selection of isolates categorised as non-wild type (NWT) by ECOFF values for the combination of ampicillin, trimethoprim-sulfamethoxazole, and tetracycline. From a total of 1,117 fecal samples (633 adult, 484 calf) collected across 26 randomly selected farms, 891 commensal E. coli isolates were recovered (541 adult, 350 calf). Commensal E. coli classified as NWT was highest for ampicillin for both adult (68.8%; 95% CI = 64.7 - 72.7) and calf feces (67.1%; 95% CI = 62.0 - 72.0). A large proportion of tetracycline NWT and trimethoprim-sulfamethoxazole NWT organisms were also identified from calf feces, being 44.0% (95% CI = 38.7 - 49.4) and 24.6% (95% CI = 20.2 - 29.4) respectively. Clinical resistance prevalence was low, being higher for calves than for adult feces (ampicillin (adult: 7.8% (95% CI = 5.7 - 10.3); calf: 30.0% (95% CI = 25.2 - 35.1), tetracycline (adult: 6.3% (95% CI = 4.4 - 8.7); calf: 40.3% (95% CI = 35.1 - 45.6), and trimethoprim-sulfamethoxazole (adult: 2.6% (95% CI = 1.4 - 4.3); calf: 22.0% (95% CI = 17.7 - 26.7)). Commensal E. coli originating from calf feces was significantly higher in NWT prevalence compared with adult feces for ciprofloxacin (P = 0.023), gentamicin (P = 0.02), tetracycline (P < 0.001), and trimethoprim-sulfamethoxazole (P < 0.001). The overall number of antimicrobials an isolate was classified as NWT toward varied among farms and was significantly higher for isolates originating from calf than adult feces (P < 0.001). The strain type and sampling source of the commensal E. coli investigated were both associated with the commonality of the resultant resistance genome. Clinical resistance and NWT classification were highest for ampicillin, tetracycline, and trimethoprim-sulfamethoxazole, all antimicrobials commonly used in the treatment of dairy cattle in Australia. Though highly variable across farms, commensal E. coli isolated from healthy dairy calf feces had significantly higher NWT and multidrug resistance (MDR) prevalence compared with feces from healthy adult lactating dairy cows. The resistant genome identified in MDR isolates, though not always consistent with the phenotype, included QnrS1 and genes encoding AmpC β-lactamase and aminoglycoside phosphotransferase.
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Affiliation(s)
- M Tree
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia.
| | - T J G M Lam
- GD Animal Health, Deventer, and Faculty of Veterinary Medicine Utrecht University, The Netherlands
| | - S McDougall
- Cognosco, Anexa Veterinary Services, PO Box 21, Morrinsville 3340, New Zealand
| | - D S Beggs
- Animal Welfare Science Centre, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria 3052, Australia; Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria 3030, Australia
| | - I D Robertson
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia
| | - A L Barnes
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia.
| | - A Chopra
- Institute for Immunology and Infectious Diseases, 390, Discovery Way, Murdoch University 6150, Western Australia, Australia
| | - R Ram
- Institute for Immunology and Infectious Diseases, 390, Discovery Way, Murdoch University 6150, Western Australia, Australia
| | - C A Stockman
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia
| | - T C Kent
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia
| | - J W Aleri
- School of Veterinary Medicine, College of Science, Health, Engineering and Education, Murdoch University, 90 South Street, Murdoch 6150, Western Australia, Australia; Centre for Animal Production and Health, Future Foods Institute, Murdoch University, 90 South Street, Murdoch, 6150 WA, Australia; Harry Butler Institute, Murdoch University, 90 South Street, Murdoch, 6150 WA, Australia
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Toit SAD, Rip D. Exploring the genetic variability, virulence factors, and antibiotic resistance of Listeria monocytogenes from fresh produce, ready-to-eat hummus, and food-processing environments. J Food Sci 2024. [PMID: 39327637 DOI: 10.1111/1750-3841.17399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 08/08/2024] [Accepted: 09/01/2024] [Indexed: 09/28/2024]
Abstract
Listeria monocytogenes is ubiquitous in nature and persistent in food-processing facilities, farms, retail stores, and home and restaurant kitchens. Current research suggests ready-to-eat (RTE) products (including RTE hummus and fresh produce) to be of increasing interest and concern. These foods are typically stored at refrigeration temperatures suited to the survival of L. monocytogenes and are consumed without further processing. Since L. monocytogenes is ubiquitous in agricultural environments, the cultivation of fresh produce predisposes it to contamination. The contamination of RTE foods originates either from raw ingredients or, more commonly, from cross-contamination within food-processing facilities. Research on the food-processing environment has been recommended to reduce the incidence of L. monocytogenes in foods. The consumption of contaminated foods by immunocompromised individuals causes invasive listeriosis, with a 20% to 30% fatality rate despite treatment. The emergence of antibiotic-resistant strains has reduced the effectiveness of modern medicine and may increase morbidity and mortality. Without epidemiological surveillance and identifying trends in disease determinants, no action can be taken to improve food safety and mitigate the risk of such outbreaks.
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Affiliation(s)
- Samantha Anne du Toit
- Department of Food Science, Stellenbosch University Matieland, Stellenbosch, South Africa
| | - Diane Rip
- Department of Food Science, Stellenbosch University Matieland, Stellenbosch, South Africa
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Bombaywala S, Bajaj A, Dafale NA. Meta-analysis of wastewater microbiome for antibiotic resistance profiling. J Microbiol Methods 2024; 223:106953. [PMID: 38754482 DOI: 10.1016/j.mimet.2024.106953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/12/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
The microbial composition and stress molecules are main drivers influencing the development and spread of antibiotic resistance bacteria (ARBs) and genes (ARGs) in the environment. A reliable and rapid method for identifying associations between microbiome composition and resistome remains challenging. In the present study, secondary metagenome data of sewage and hospital wastewaters were assessed for differential taxonomic and ARG profiling. Subsequently, Random Forest (RF)-based ML models were used to predict ARG profiles based on taxonomic composition and model validation on hospital wastewaters. Total ARG abundance was significantly higher in hospital wastewaters (15 ppm) than sewage (5 ppm), while the resistance towards methicillin, carbapenem, and fluoroquinolone were predominant. Although, Pseudomonas constituted major fraction, Streptomyces, Enterobacter, and Klebsiella were characteristic of hospital wastewaters. Prediction modeling showed that the relative abundance of pathogenic genera Escherichia, Vibrio, and Pseudomonas contributed most towards variations in total ARG count. Moreover, the model was able to identify host-specific patterns for contributing taxa and related ARGs with >90% accuracy in predicting the ARG subtype abundance. More than >80% accuracy was obtained for hospital wastewaters, demonstrating that the model can be validly extrapolated to different types of wastewater systems. Findings from the study showed that the ML approach could identify ARG profile based on bacterial composition including 16S rDNA amplicon data, and can serve as a viable alternative to metagenomic binning for identification of potential hosts of ARGs. Overall, this study demonstrates the promising application of ML techniques for predicting the spread of ARGs and provides guidance for early warning of ARBs emergence.
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Affiliation(s)
- Sakina Bombaywala
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Abhay Bajaj
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Nishant A Dafale
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur 440020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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Jia Y, Zhang K, Cao J, Mao W. Correlation analysis of whole genome sequencing of a pathogenic Escherichia coli strain of Inner Mongolian origin. Sci Rep 2024; 14:15494. [PMID: 38969720 PMCID: PMC11226720 DOI: 10.1038/s41598-024-64256-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 06/06/2024] [Indexed: 07/07/2024] Open
Abstract
Anal swabs of 1-month-old Holstein calves with diarrhea were collected from an intensive cattle farm, and a highly pathogenic Escherichia coli strain was obtained by isolation and purification. To study the virulence and resistance genes of pathogenic E. coli that cause diarrhea in calves, a strain of E. coli E12 isolated from calf diarrhea samples was used as experimental material in this experiment, and the virulence of the E12 strain were identified by the mouse infection test, and the whole genome map of the E12 strain were obtained by whole-genome sequencing and analyzed for genome characterization. The results showed that the lethality of strain E12 was 100%, the total length of E12-encoded genes was 4,294,530 bp, Cluster of Orthologous Groups of proteins (COG) annotated to 4,194 functional genes, and the virulence genes of sequenced strain E12 were compared with the virulence genes of sequenced strain E12 from the Virulence Factors of Pathogenic Bacteria (VFDB), which contained a total of 366 virulence genes in sequenced strain E12. The analysis of virulence genes of E12 revealed a total of 52 virulence genes in the iron transferrin system, 56 virulence genes in the secretory system, 41 virulence genes in bacterial toxins, and a total of 217 virulence genes in the Adhesin and Invasins group. The antibiotic resistance genes of sequenced strain E12 were identified through the Antibiotic Resistance Genes Database (ARDB) and Comprehensive Antibiotic Research Database, and it was found that its chromosome and plasmid included a total of 127 antibiotic resistance genes in four classes, and that E12 carried 71 genes related to the antibiotic efflux pumps, 36 genes related to antibiotic inactivation, and 14 antibiotic target alteration and reduced penetration into antibiotics, and 6 antibiotic resistance genes, and the resistance phenotypes were consistent with the genotypes. The pathogenic E. coli that causes diarrhea in calves on this ranch contains a large number of virulence and resistance genes. The results provide a theoretical basis for the prevention and treatment of diarrhea and other diseases caused by E. coli disease.
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Affiliation(s)
- Yan Jia
- Xuzhou Vocational College of Bioengineering, Jiangsu, 221006, Xuzhou, China
| | - Kai Zhang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, 010018, Inner Mongolia, China
- Key Laboratory of Animal Clinical Treatment Technology, Ministry of Agriculture, Huhhot, 010018, Inner Mongolia, China
| | - Jinshan Cao
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, 010018, Inner Mongolia, China.
- Key Laboratory of Animal Clinical Treatment Technology, Ministry of Agriculture, Huhhot, 010018, Inner Mongolia, China.
| | - Wei Mao
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, 010018, Inner Mongolia, China.
- Key Laboratory of Animal Clinical Treatment Technology, Ministry of Agriculture, Huhhot, 010018, Inner Mongolia, China.
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Che M, Fresno AH, Calvo-Fernandez C, Hasman H, Kurittu PE, Heikinheimo A, Hansen LT. Comparison of IncK- blaCMY-2 Plasmids in Extended-Spectrum Cephalosporin-Resistant Escherichia coli Isolated from Poultry and Humans in Denmark, Finland, and Germany. Antibiotics (Basel) 2024; 13:349. [PMID: 38667025 PMCID: PMC11047599 DOI: 10.3390/antibiotics13040349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/29/2024] Open
Abstract
Escherichia coli carrying IncK-blaCMY-2 plasmids mediating resistance to extended-spectrum cephalosporins (ESC) has been frequently described in food-producing animals and in humans. This study aimed to characterize IncK-blaCMY-2-positive ESC-resistant E. coli isolates from poultry production systems in Denmark, Finland, and Germany, as well as from Danish human blood infections, and further compare their plasmids. Whole-genome sequencing (Illumina) of all isolates (n = 46) confirmed the presence of the blaCMY-2 gene. Minimum inhibitory concentration (MIC) testing revealed a resistant phenotype to cefotaxime as well as resistance to ≥3 antibiotic classes. Conjugative transfer of the blaCMY-2 gene confirmed the resistance being on mobile plasmids. Pangenome analysis showed only one-third of the genes being in the core with the remainder being in the large accessory gene pool. Single nucleotide polymorphism (SNP) analysis on sequence type (ST) 429 and 1286 isolates showed between 0-60 and 13-90 SNP differences, respectively, indicating vertical transmission of closely related clones in the poultry production, including among Danish, Finnish, and German ST429 isolates. A comparison of 22 ST429 isolates from this study with 80 ST429 isolates in Enterobase revealed the widespread geographical occurrence of related isolates associated with poultry production. Long-read sequencing of a representative subset of isolates (n = 28) allowed further characterization and comparison of the IncK-blaCMY-2 plasmids with publicly available plasmid sequences. This analysis revealed the presence of highly similar plasmids in ESC-resistant E. coli from Denmark, Finland, and Germany pointing to the existence of common sources. Moreover, the analysis presented evidence of global plasmid transmission and evolution. Lastly, our results indicate that IncK-blaCMY-2 plasmids and their carriers had been circulating in the Danish production chain with an associated risk of spreading to humans, as exemplified by the similarity of the clinical ST429 isolate to poultry isolates. Its persistence may be driven by co-selection since most IncK-blaCMY-2 plasmids harbor resistance factors to drugs used in veterinary medicine.
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Affiliation(s)
- Meiyao Che
- National Food Institute, Technical University of Denmark, 2800 Lyngby, Denmark; (M.C.); (C.C.-F.)
| | - Ana Herrero Fresno
- Department of Biochemistry and Molecular Biology, Faculty of Sciences, Campus Terra, Universidade da Santiago de Compostela (USC), 27002 Lugo, Spain;
| | - Cristina Calvo-Fernandez
- National Food Institute, Technical University of Denmark, 2800 Lyngby, Denmark; (M.C.); (C.C.-F.)
| | - Henrik Hasman
- Reference Laboratory for Antibiotic Resistance, Statens Serum Institut, Artillerivej 5, 2300 Copenhagen, Denmark;
| | - Paula E. Kurittu
- Department of Food Health and Environmental Hygiene, Faculty of Veterinary Medicine, University of Helsinki, 00014 Helsinki, Finland; (P.E.K.); (A.H.)
| | - Annamari Heikinheimo
- Department of Food Health and Environmental Hygiene, Faculty of Veterinary Medicine, University of Helsinki, 00014 Helsinki, Finland; (P.E.K.); (A.H.)
- Microbiology Unit, Finnish Food Authority, Mustialankatu 3, 00790 Helsinki, Finland
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Bhatia M, Shamanna V, Nagaraj G, Gupta P, Omar BJ, Diksha, Rohilla R, Ravikumar KL. Assessment of in vitro colistin susceptibility of carbapenem-resistant clinical Gram-negative bacterial isolates using four commercially available systems & Whole-genome sequencing: A diagnostic accuracy study. Diagn Microbiol Infect Dis 2024; 108:116155. [PMID: 38219381 DOI: 10.1016/j.diagmicrobio.2023.116155] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/11/2023] [Accepted: 11/30/2023] [Indexed: 01/16/2024]
Abstract
AIM To analyze the diagnostic utility of commercially available platforms and Whole-genome sequencing (WGS) for accurate determination of colistin susceptibility test results. MATERIAL & METHODS An exploratory diagnostic accuracy study was conducted in which sixty carbapenem-resistant Gram-negative bacteria were subjected to identification and AST using MALDI-TOF MS & MicroScan walkaway 96 Plus. Additional AST was performed using the BD Phoenix system and Mikrolatest colistin kit. The test isolates were subjected to Vitek-2 and WGS at CRL, Bengaluru. RESULTS There was no statistically significant agreement between the colistin susceptibility results obtained by WGS, with those of commercial phenotypic platforms. The MicroScan 96 Plus had the highest sensitivity (31 %) & NPV (77 %), and the BD Phoenix system had the highest specificity (97 %) and PPV (50 %), respectively, for determining colistin resistance. CONCLUSION The utility of WGS as a tool in AMR surveillance and validation of phenotypic AST methods should be explored further.
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Affiliation(s)
- Mohit Bhatia
- Department of Microbiology, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, 110029, India.
| | - Varun Shamanna
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bengaluru, Karnataka 560070, India; Department of Biotechnology, NMAM Institute of Technology, Nitte, Udupi, Karnataka 574110, India
| | - Geetha Nagaraj
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bengaluru, Karnataka 560070, India
| | - Pratima Gupta
- Department of Microbiology, All India Institute of Medical Sciences Deoghar, Jharkhand 814152, India
| | - Balram Ji Omar
- Department of Microbiology, All India Institute of Medical Sciences Rishikesh, Uttarakhand 249203, India
| | - Diksha
- Department of Microbiology, All India Institute of Medical Sciences Rishikesh, Uttarakhand 249203, India
| | - Ranjana Rohilla
- Department of Microbiology, Sri Guru Ram Rai Institute of Medical & Health Science, Dehradun, Uttarakhand 248001, India
| | - K L Ravikumar
- Central Research Laboratory, Kempegowda Institute of Medical Sciences, Bengaluru, Karnataka 560070, India
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McHugh MP, Pettigrew KA, Taori S, Evans TJ, Leanord A, Gillespie SH, Templeton KE, Holden MTG. Consideration of within-patient diversity highlights transmission pathways and antimicrobial resistance gene variability in vancomycin-resistant Enterococcus faecium. J Antimicrob Chemother 2024; 79:656-668. [PMID: 38323373 PMCID: PMC11090465 DOI: 10.1093/jac/dkae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND WGS is increasingly being applied to healthcare-associated vancomycin-resistant Enterococcus faecium (VREfm) outbreaks. Within-patient diversity could complicate transmission resolution if single colonies are sequenced from identified cases. OBJECTIVES Determine the impact of within-patient diversity on transmission resolution of VREfm. MATERIALS AND METHODS Fourteen colonies were collected from VREfm positive rectal screens, single colonies were collected from clinical samples and Illumina WGS was performed. Two isolates were selected for Oxford Nanopore sequencing and hybrid genome assembly to generate lineage-specific reference genomes. Mapping to closely related references was used to identify genetic variations and closely related genomes. A transmission network was inferred for the entire genome set using Phyloscanner. RESULTS AND DISCUSSION In total, 229 isolates from 11 patients were sequenced. Carriage of two or three sequence types was detected in 27% of patients. Presence of antimicrobial resistance genes and plasmids was variable within genomes from the same patient and sequence type. We identified two dominant sequence types (ST80 and ST1424), with two putative transmission clusters of two patients within ST80, and a single cluster of six patients within ST1424. We found transmission resolution was impaired using fewer than 14 colonies. CONCLUSIONS Patients can carry multiple sequence types of VREfm, and even within related lineages the presence of mobile genetic elements and antimicrobial resistance genes can vary. VREfm within-patient diversity could be considered in future to aid accurate resolution of transmission networks.
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Affiliation(s)
- Martin P McHugh
- School of Medicine, University of St Andrews, St Andrews, UK
- Medical Microbiology, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | | | - Surabhi Taori
- Medical Microbiology, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Thomas J Evans
- School of Infection and Immunity, University of Glasgow, Glasgow, UK
| | - Alistair Leanord
- School of Infection and Immunity, University of Glasgow, Glasgow, UK
- Scottish Microbiology Reference Laboratories, Glasgow Royal Infirmary, Glasgow, UK
| | | | - Kate E Templeton
- Medical Microbiology, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
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Chen J, Zhong J, Chang Y, Zhou Y, Koo SH, Tan TY, Lei H, Ai Y. Rapid and Accurate Antimicrobial Susceptibility Testing Using Label-Free Electrical Impedance-Based Microfluidic Platform. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2303352. [PMID: 37794624 DOI: 10.1002/smll.202303352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/01/2023] [Indexed: 10/06/2023]
Abstract
Antimicrobial resistance has become a serious threat to the global public health. Accurate and rapid antimicrobial susceptibility testing (AST) allows evidence-based prescribing of antibiotics to improve patient care and clinical outcomes. Current culture-based AST assays are inherently limited by the doubling time of bacterial reproduction, which require at least 24 h to have a decisive result. Herein, a label-free electrical impedance-based microfluidic platform designed to expedite and streamline AST procedure for clinical practice is presented. Following a 30-min exposure of bacterial samples to antibiotics, the presented high-throughput, single-bacterium level impedance characterization platform enables a rapid 2-min AST assay. The platform facilitates accurate analysis of individual bacterial viability, as indicated by changes in electrical characteristics, thereby enabling the determination of antimicrobial resistance. Moreover, the potential clinical applicability of this platform is demonstrated by testing different E. coli strains against five antibiotics, yielding 100% categorical agreements compared to standard culture methods.
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Affiliation(s)
- Jiahong Chen
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Yifu Chang
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Yinning Zhou
- Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau, 999078, China
| | - Seok Hwee Koo
- Department of Laboratory Medicine, Changi General Hospital, Singapore, 529889, Singapore
| | - Thean Yen Tan
- Department of Laboratory Medicine, Changi General Hospital, Singapore, 529889, Singapore
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety/National-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
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Moura A, Leclercq A, Vales G, Tessaud-Rita N, Bracq-Dieye H, Thouvenot P, Madec Y, Charlier C, Lecuit M. Phenotypic and genotypic antimicrobial resistance of Listeria monocytogenes: an observational study in France. THE LANCET REGIONAL HEALTH. EUROPE 2024; 37:100800. [PMID: 38362545 PMCID: PMC10866989 DOI: 10.1016/j.lanepe.2023.100800] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 02/17/2024]
Abstract
Background Large-scale studies are needed to clarify antimicrobial resistance in the foodborne pathogen Listeria monocytogenes (Lm) and the effectiveness of listeriosis treatment options. Here we examined the antimicrobial resistance patterns in Lm over time and assessed genotype-phenotype concordances. Methods We analyzed 5339 Lm isolates (2908 clinical and 2431 food isolates) collected in France and overseas territories, between 2012 and 2019. Whole genome sequencing was performed for all isolates and antimicrobial resistance profiles inferred from draft assemblies. Antimicrobial susceptibility towards 22 antimicrobials was determined for all clinical isolates, and in food isolates with acquired resistance genes. Findings All tested isolates were resistant to at least 3 different classes of antimicrobials, consistent with Lm intrinsic traits. Acquired antimicrobial resistance in Lm was rare (2.23% isolates) and more prevalent in food (mainly lineage II) compared to clinical isolates (mainly lineage I) (3.74% vs 0.98%, p < 0.0001), and in isolates with disinfectants or stress resistance traits (e.g. bcrABC, 20.20% vs 7.20%, p < 0.0001), suggesting co-selection of resistance in food-production environments. Acquired antimicrobial resistance could be predicted from genomes with high accuracy (>99%), except for ciprofloxacin. Acquired antimicrobial phenotypes were towards tetracyclines (mostly due to tetM), trimethoprim (dfrD), lincosamides (lnuG), macrolides (ermB, mphB) and phenicols (fexA). Interpretation The reference treatment for listeriosis (aminopenicillins/aminoglycosides) remains effective, with no acquired resistance observed. Continuous surveillance of antimicrobial resistance in clinical and food isolates is crucial to detect the emergence of novel resistance. Funding Institut Pasteur, INSERM, Santé Publique France, Investissement d'Avenir program Laboratoire d'Excellence 'Integrative Biology of Emerging Infectious Diseases' (ANR-10-LABX-62-IBEID).
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Affiliation(s)
- Alexandra Moura
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Alexandre Leclercq
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Guillaume Vales
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Nathalie Tessaud-Rita
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Hélène Bracq-Dieye
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Pierre Thouvenot
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Yoann Madec
- Institut Pasteur, Université Paris Cité, Emerging Diseases Epidemiology Unit, 75015, Paris, France
| | - Caroline Charlier
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
| | - Marc Lecuit
- Institut Pasteur, National Reference Centre and WHO Collaborating Centre Listeria, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Inserm U1117, Biology of Infection Unit, 75015, Paris, France
- Necker-Enfants Malades University Hospital, Division of Infectious Diseases and Tropical Medicine, APHP, Institut Imagine, 75006, Paris, France
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10
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Jewell M, Fuhrmeister ER, Roberts MC, Weissman SJ, Rabinowitz PM, Hawes SE. Associations between Isolation Source, Clonal Composition, and Antibiotic Resistance Genes in Escherichia coli Collected in Washington State, USA. Antibiotics (Basel) 2024; 13:103. [PMID: 38275332 PMCID: PMC10812632 DOI: 10.3390/antibiotics13010103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
Antimicrobial resistance (AMR) is a global health problem stemming from the use of antibiotics in humans, animals, and the environment. This study used whole-genome sequencing (WGS) of E. coli to explore patterns of AMR across sectors in Washington State, USA (WA). The WGS data from 1449 E. coli isolates were evaluated for isolation source (humans, animals, food, or the environment) and the presence of antibiotic resistance genes (ARGs). We performed sequence typing using PubMLST and used ResFinder to identify ARGs. We categorized isolates as being pan-susceptible, resistant, or multidrug-resistant (MDR), defined as carrying resistance genes for at least three or more antimicrobial drug classes. In total, 60% of isolates were pan-susceptible, while 18% were resistant, and 22% exhibited MDR. The proportion of resistant isolates varied significantly according to the source of the isolates (p < 0.001). The greatest resistance was detected in isolates from humans and then animals, while environmental isolates showed the least resistance. This study demonstrates the feasibility of comparing AMR across various sectors in Washington using WGS and a One Health approach. Such analysis can complement other efforts for AMR surveillance and potentially lead to targeted interventions and monitoring activities to reduce the overall burden of AMR.
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Affiliation(s)
- Mary Jewell
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA; (M.J.); (S.E.H.)
| | - Erica R. Fuhrmeister
- Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA; (E.R.F.); (P.M.R.)
- Department of Civil and Environmental Engineering, University of Washington, 3760 E. Stevens Way NE, Seattle, WA 98195, USA
| | - Marilyn C. Roberts
- Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA; (E.R.F.); (P.M.R.)
| | - Scott J. Weissman
- Division of Infectious Disease, Seattle Children’s Hospital, Seattle, WA 98105, USA;
| | - Peter M. Rabinowitz
- Department of Environmental and Occupational Health, School of Public Health, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA; (E.R.F.); (P.M.R.)
- Center for One Health Research, University of Washington, 3980 15th Ave NE, Seattle, WA 98195, USA
| | - Stephen E. Hawes
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA; (M.J.); (S.E.H.)
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11
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Allegretti YH, Yamaji R, Adams-Sapper S, Riley LW. Genetic features of antimicrobial drug-susceptible extraintestinal pathogenic Escherichia coli pandemic sequence type 95. Microbiol Spectr 2024; 12:e0418922. [PMID: 38059630 PMCID: PMC10783064 DOI: 10.1128/spectrum.04189-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 11/13/2023] [Indexed: 12/08/2023] Open
Abstract
IMPORTANCE Despite the increasing prevalence of antibiotic-resistant Escherichia coli strains that cause urinary tract and bloodstream infections, a major pandemic lineage of extraintestinal pathogenic E. coli (ExPEC) ST95 has a comparatively low frequency of drug resistance. We compared the genomes of 1,749 ST95 isolates to identify genetic features that may explain why most strains of ST95 resist becoming drug-resistant. Identification of such genomic features could contribute to the development of novel strategies to prevent the spread of antibiotic-resistant genes and devise new measures to control antibiotic-resistant infections.
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Affiliation(s)
| | | | | | - Lee W. Riley
- University of California Berkeley, Berkeley, California, USA
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12
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Ozawa M, Kawano M, Abo H, Issiki Y, Kumakawa M, Kawanishi M, Kojima A, Iwamoto S. Characterization of Actinobacillus pleuropneumoniae isolated from pigs in Japan using whole genome sequencing. Comp Immunol Microbiol Infect Dis 2023; 102:102062. [PMID: 37741218 DOI: 10.1016/j.cimid.2023.102062] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 09/25/2023]
Abstract
We conducted whole-genome sequencing to investigate the serotypes, the presence of virulence and antimicrobial resistance genes, and the genetic relationships among isolates of Actinobacillus. pleuropneumoniae derived from diseased pigs. Serotype 2 (71.2%) was the most common, but the prevalence of serotypes 6 (13.6%) and 15 (6.8%) increased. Existing vaccines are considered ineffective on the isolates belonging to serotypes 6 and 15. The phylogenetic tree based on core genome single nucleotide polymorphisms showed that the isolates were clustered by serotype. Of the isolates, 62.5% did not have an antimicrobial resistance gene, including a florfenicol resistance gene, but 32.2% had a tetracycline resistance gene. The antimicrobial resistant phenotype and genotype were almost identical. The plasmid-derived contigs harbored resistance genes of aminoglycosides, tetracyclines, β-lactams, phenicols, or sulfonamides. It has been suggested that isolates with different genetic properties from vaccine strains are circulating; however, antimicrobial resistance may not be widespread.
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Affiliation(s)
- Manao Ozawa
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan.
| | - Motoshi Kawano
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Hitoshi Abo
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Yukari Issiki
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Mio Kumakawa
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Michiko Kawanishi
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Akemi Kojima
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
| | - Shoko Iwamoto
- National Veterinary Assay Laboratory, Ministry of Agriculture, Forestry and Fisheries, 1-15-1, Tokura, Kokubunji, Tokyo 185-8511, Japan
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13
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Petrin S, Orsini M, Massaro A, Olsen JE, Barco L, Losasso C. Phenotypic and genotypic antimicrobial resistance correlation and plasmid characterization in Salmonella spp. isolates from Italy reveal high heterogeneity among serovars. Front Public Health 2023; 11:1221351. [PMID: 37744490 PMCID: PMC10513437 DOI: 10.3389/fpubh.2023.1221351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/15/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction The spread of antimicrobial resistance among zoonotic pathogens such as Salmonella is a serious health threat, and mobile genetic elements (MGEs) carrying antimicrobial resistance genes favor this phenomenon. In this work, phenotypic antimicrobial resistance to commonly used antimicrobials was studied, and the antimicrobial resistance genes (ARGs) and plasmid replicons associated with the resistances were determined. Methods Eighty-eight Italian Salmonella enterica strains (n = 88), from human, animal and food sources, isolated between 2009 and 2019, were selected to represent serovars with different frequency of isolation in human cases of salmonellosis. The presence of plasmid replicons was also investigated. Results and discussion Resistances to sulphonamides (23.9%), ciprofloxacin (27.3%), ampicillin (29.5%), and tetracycline (32.9%) were the most found phenotypes. ARGs identified in the genomes correlated with the phenotypical results, with blaTEM-1B, sul1, sul2, tetA and tetB genes being frequently identified. Point mutations in gyrA and parC genes were also detected, in addition to many different aminoglycoside-modifying genes, which, however, did not cause phenotypic resistance to aminoglycosides. Many genomes presented plasmid replicons, however, only a limited number of ARGs were predicted to be located on the contigs carrying these replicons. As an expectation of this, multiple ARGs were identified on contigs with IncQ1 plasmid replicon in strains belonging to the monophasic variant of Salmonella Typhimurium. In general, high variability in ARGs and plasmid replicons content was observed among isolates, highlighting a high level of heterogeneity in Salmonella enterica. Irrespective of the serovar., many of the ARGs, especially those associated with critically and highly important antimicrobials for human medicine were located together with plasmid replicons, thus favoring their successful dissemination.
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Affiliation(s)
- Sara Petrin
- Microbial Ecology and Microrganisms Genomics Laboratory, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università, Legnaro, Italy
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Massimiliano Orsini
- Microbial Ecology and Microrganisms Genomics Laboratory, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università, Legnaro, Italy
| | - Andrea Massaro
- Applied Chemistry Laboratory, Istituto Zooprofilattico Sperimentale delle Venezie, Vicenza, Italy
| | - John E. Olsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Lisa Barco
- OIE and National Reference Laboratory for Salmonellosis, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università, Legnaro, Italy
| | - Carmen Losasso
- Microbial Ecology and Microrganisms Genomics Laboratory, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università, Legnaro, Italy
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14
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Chung HC, Foxx CL, Hicks JA, Stuber TP, Friedberg I, Dorman KS, Harris B. An accurate and interpretable model for antimicrobial resistance in pathogenic Escherichia coli from livestock and companion animal species. PLoS One 2023; 18:e0290473. [PMID: 37616210 PMCID: PMC10449230 DOI: 10.1371/journal.pone.0290473] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023] Open
Abstract
Understanding the microbial genomic contributors to antimicrobial resistance (AMR) is essential for early detection of emerging AMR infections, a pressing global health threat in human and veterinary medicine. Here we used whole genome sequencing and antibiotic susceptibility test data from 980 disease causing Escherichia coli isolated from companion and farm animals to model AMR genotypes and phenotypes for 24 antibiotics. We determined the strength of genotype-to-phenotype relationships for 197 AMR genes with elastic net logistic regression. Model predictors were designed to evaluate different potential modes of AMR genotype translation into resistance phenotypes. Our results show a model that considers the presence of individual AMR genes and total number of AMR genes present from a set of genes known to confer resistance was able to accurately predict isolate resistance on average (mean F1 score = 98.0%, SD = 2.3%, mean accuracy = 98.2%, SD = 2.7%). However, fitted models sometimes varied for antibiotics in the same class and for the same antibiotic across animal hosts, suggesting heterogeneity in the genetic determinants of AMR resistance. We conclude that an interpretable AMR prediction model can be used to accurately predict resistance phenotypes across multiple host species and reveal testable hypotheses about how the mechanism of resistance may vary across antibiotics within the same class and across animal hosts for the same antibiotic.
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Affiliation(s)
- Henri C. Chung
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States of America
| | - Christine L. Foxx
- Research Participation Program, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America
| | - Jessica A. Hicks
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
| | - Tod P. Stuber
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
| | - Iddo Friedberg
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, United States of America
| | - Karin S. Dorman
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, United States of America
- Department of Statistics, Iowa State University, Ames, IA, United States of America
| | - Beth Harris
- National Animal Health Laboratory Network, National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Ames, IA, United States of America
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15
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Gao Y, Chen K, Lin R, Xu X, Xu F, Lin Q, Hu Y, Zhang H, Zhang J, Liao M, Qu X. High Levels of Antibiotic Resistance in MDR-Strong Biofilm-Forming Salmonella Typhimurium ST34 in Southern China. Microorganisms 2023; 11:2005. [PMID: 37630565 PMCID: PMC10458675 DOI: 10.3390/microorganisms11082005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/29/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
Salmonella enterica subsp. enterica serovar Typhimurium (S. typhimurium) is an important zoonotic pathogen with important public health significance. To understand S. typhimurium's epidemiological characteristics in China, multi-locus sequence typing, biofilm-forming ability, antimicrobial susceptibility testing, and resistant genes of isolates from different regions and sources (human, food) were investigated. Among them, ST34 accounted for 82.4% (243/295), with ST19 ranking second (15.9%; 47/295). ST34 exhibited higher resistance levels than ST19 (p < 0.05). All colistin, carbapenem, and ciprofloxacin-resistant strains were ST34, as were most cephalosporin-resistant strains (88.9%; 32/36). Overall, 91.4% (222/243) ST34 isolates were shown to have multidrug resistance (MDR), while 53.2% (25/47) ST19 isolates were (p < 0.05). Notably, 97.8% (45/46) of the MDR-ACSSuT (resistance to Ampicillin, Chloramphenicol, Streptomycin, Sulfamethoxazole, and Tetracycline) isolates were ST34, among which 69.6% (32/46) of ST34 isolates were of human origin, while 30.4% (14/46) were derived from food (p < 0.05). Moreover, 88.48% (215/243) ST34 showed moderate to strong biofilm-forming ability compared with 10.9% (5/46) ST19 isolates (p < 0.01). This study revealed the emergence of high-level antibiotic resistance S. typhimurium ST34 with strong biofilm-forming ability, posing concerns for public health safety.
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Affiliation(s)
- Yuan Gao
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
- CAS Key Laboratory of Pathogenic Microbiology & Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Kaifeng Chen
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Runshan Lin
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Xuebin Xu
- Department of Microbiology, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai 200015, China
| | - Fengxiang Xu
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Qijie Lin
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Yaping Hu
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Hongxia Zhang
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Jianmin Zhang
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Ming Liao
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Department of Microbiology, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai 200015, China
| | - Xiaoyun Qu
- National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China; (Y.G.)
- Key Laboratory of Zoonoses, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Animal Infectious Diseases Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Livestock Disease Prevention of Guangdong Province (YDWS202204), Guangzhou 510642, China
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16
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Lee HJ, Storesund JE, Lunestad BT, Hoel S, Lerfall J, Jakobsen AN. Whole genome sequence analysis of Aeromonas spp. isolated from ready-to-eat seafood: antimicrobial resistance and virulence factors. Front Microbiol 2023; 14:1175304. [PMID: 37455746 PMCID: PMC10348363 DOI: 10.3389/fmicb.2023.1175304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/08/2023] [Indexed: 07/18/2023] Open
Abstract
Aeromonas are widespread in aquatic environments and are considered emerging pathogens in humans and animals. Multidrug resistant (MDR) Aeromonas circulating in the aquatic environment and food production chain can potentially disseminate antimicrobial resistance (AMR) to humans via the foodborne route. In this study, we aimed to investigate AMR and virulence factors of 22 Aeromonas strains isolated from ready-to-eat (RTE) seafood. A multilocus phylogenetic analysis (MLPA) using the concatenated sequences of six housekeeping genes (gyrB, rpoD, gyrA, recA, dnaJ, and dnaX) in the 22 Aeromonas genomes and average nucleotide identity (ANI) analysis revealed eight different species; A. caviae, A. dhakensis, A. hydrophila, A. media, A. rivipollensis, A. salmonicida, A. bestiarum, and A. piscicola. The presence of virulence genes, AMR genes and mobile genetic elements (MGEs) in the Aeromonas genomes was predicted using different databases. Our data showed that the genes responsible for adherence and motility (Msh type IV pili, tap type IV pili, polar flagella), type II secretion system (T2SS) and hemolysins were present in all strains, while the genes encoding enterotoxins and type VI secretion system (T6SS) including major effectors were highly prevalent. Multiple AMR genes encoding β-lactamases such as cphA and blaOXA were detected, and the distribution of those genes was species-specific. In addition, the quinolone resistance gene, qnrS2 was found in a IncQ type plasmid of the A. rivopollensis strain A539. Furthermore, we observed the co-localization of a class I integron (intl1) with two AMR genes (sul1 and aadA1), and a Tn521 transposon carrying a mercury operon in A. caviae strain SU4-2. Various MGEs including other transposons and insertion sequence (IS) elements were identified without strongly associating with detected AMR genes or virulence genes. In conclusion, Aeromonas strains in RTE seafood were potentially pathogenic, carrying several virulence-related genes. Aeromonas carrying multiple AMR genes and MGEs could potentially be involved in the dissemination and spread of AMR genes to other bacterial species residing in the same environment and possibly to humans. Considering a One-Health approach, we highlight the significance of monitoring AMR caused by Aeromonas circulating in the food chain.
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Affiliation(s)
- Hye-Jeong Lee
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Julia E. Storesund
- Section for Contaminants and Biohazards, Institute of Marine Research, Bergen, Norway
| | - Bjørn-Tore Lunestad
- Section for Contaminants and Biohazards, Institute of Marine Research, Bergen, Norway
| | - Sunniva Hoel
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jørgen Lerfall
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anita Nordeng Jakobsen
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
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17
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Caliskan-Aydogan O, Alocilja EC. A Review of Carbapenem Resistance in Enterobacterales and Its Detection Techniques. Microorganisms 2023; 11:1491. [PMID: 37374993 PMCID: PMC10305383 DOI: 10.3390/microorganisms11061491] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Infectious disease outbreaks have caused thousands of deaths and hospitalizations, along with severe negative global economic impacts. Among these, infections caused by antimicrobial-resistant microorganisms are a major growing concern. The misuse and overuse of antimicrobials have resulted in the emergence of antimicrobial resistance (AMR) worldwide. Carbapenem-resistant Enterobacterales (CRE) are among the bacteria that need urgent attention globally. The emergence and spread of carbapenem-resistant bacteria are mainly due to the rapid dissemination of genes that encode carbapenemases through horizontal gene transfer (HGT). The rapid dissemination enables the development of host colonization and infection cases in humans who do not use the antibiotic (carbapenem) or those who are hospitalized but interacting with environments and hosts colonized with carbapenemase-producing (CP) bacteria. There are continuing efforts to characterize and differentiate carbapenem-resistant bacteria from susceptible bacteria to allow for the appropriate diagnosis, treatment, prevention, and control of infections. This review presents an overview of the factors that cause the emergence of AMR, particularly CRE, where they have been reported, and then, it outlines carbapenemases and how they are disseminated through humans, the environment, and food systems. Then, current and emerging techniques for the detection and surveillance of AMR, primarily CRE, and gaps in detection technologies are presented. This review can assist in developing prevention and control measures to minimize the spread of carbapenem resistance in the human ecosystem, including hospitals, food supply chains, and water treatment facilities. Furthermore, the development of rapid and affordable detection techniques is helpful in controlling the negative impact of infections caused by AMR/CRE. Since delays in diagnostics and appropriate antibiotic treatment for such infections lead to increased mortality rates and hospital costs, it is, therefore, imperative that rapid tests be a priority.
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Affiliation(s)
- Oznur Caliskan-Aydogan
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA;
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
| | - Evangelyn C. Alocilja
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA;
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA
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18
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Farid N, Waheed A, Motwani S. Synthetic and natural antimicrobials as a control against food borne pathogens: A review. Heliyon 2023; 9:e17021. [PMID: 37484319 PMCID: PMC10361103 DOI: 10.1016/j.heliyon.2023.e17021] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 05/28/2023] [Accepted: 06/04/2023] [Indexed: 07/25/2023] Open
Abstract
Food borne pathogens are one of the most common yet concerning cause of illnesses around the globe. These microbes invade the body via food items, through numerous mediums of contamination and it is impossible to completely eradicate these organisms from food. Extensive research has been made regarding their treatment. Unfortunately, the only available treatment currently is by antibiotics. Recent exponential increase in antibiotic resistance and the side effect of synthetic compounds have established a need for alternate therapies that could be utilized either on their own or along with antibiotics to provide protection against food-borne diseases. The aim of this review is to provide information regarding some common food borne diseases, their current and possible natural treatment. It will include details regarding some common foodborne pathogens, the disease they cause, prevalence, manifestations and treatment of the respective disease. Some natural modes of potential treatment will be summarized, which including phytochemicals, derived from plants either as crude extracts or as purified form and Bacteriocins as microbial based treatment, obtained from various types of bacteria. The paper will describe their mechanism of action, classification, susceptible organisms, some antimicrobial compounds and producing organisms, application in food systems and as potential treatment. Along with that, synthetic treatment i.e., antibiotics will be discussed including the first-line treatment of some common food borne infections, prevalence and mechanism of resistance against antibiotics in the pathogens.
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Affiliation(s)
- Neha Farid
- Corresponding author. Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Pakistan.
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Khan UB, Portal EAR, Sands K, Lo S, Chalker VJ, Jauneikaite E, Spiller OB. Genomic Analysis Reveals New Integrative Conjugal Elements and Transposons in GBS Conferring Antimicrobial Resistance. Antibiotics (Basel) 2023; 12:544. [PMID: 36978411 PMCID: PMC10044541 DOI: 10.3390/antibiotics12030544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
Streptococcus agalactiae or group B streptococcus (GBS) is a leading cause of neonatal sepsis and increasingly found as an invasive pathogen in older patient populations. Beta-lactam antibiotics remain the most effective therapeutic with resistance rarely reported, while the majority of GBS isolates carry the tetracycline resistance gene tet(M) in fixed genomic positions amongst five predominant clonal clades. In the UK, GBS resistance to clindamycin and erythromycin has increased from 3% in 1991 to 11.9% (clindamycin) and 20.2% (erythromycin), as reported in this study. Here, a systematic investigation of antimicrobial resistance genomic content sought to fully characterise the associated mobile genetic elements within phenotypically resistant GBS isolates from 193 invasive and non-invasive infections of UK adult patients collected during 2014 and 2015. Resistance to erythromycin and clindamycin was mediated by erm(A) (16/193, 8.2%), erm(B) (16/193, 8.2%), mef(A)/msr(D) (10/193, 5.1%), lsa(C) (3/193, 1.5%), lnu(C) (1/193, 0.5%), and erm(T) (1/193, 0.5%) genes. The integrative conjugative elements (ICEs) carrying these genes were occasionally found in combination with high gentamicin resistance mediating genes aac(6')-aph(2″), aminoglycoside resistance genes (ant(6-Ia), aph(3'-III), and/or aad(E)), alternative tetracycline resistance genes (tet(O) and tet(S)), and/or chloramphenicol resistance gene cat(Q), mediating resistance to multiple classes of antibiotics. This study provides evidence of the retention of previously reported ICESag37 (n = 4), ICESag236 (n = 2), and ICESpy009 (n = 3), as well as the definition of sixteen novel ICEs and three novel transposons within the GBS lineage, with no evidence of horizontal transfer.
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Affiliation(s)
- Uzma Basit Khan
- Department of Medical Microbiology, Division of Infection and Immunity, Cardiff University, 6th Floor University Hospital of Wales, Cardiff CF14 4XN, UK
- Parasites and Microbes Programme, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Edward A. R. Portal
- Department of Medical Microbiology, Division of Infection and Immunity, Cardiff University, 6th Floor University Hospital of Wales, Cardiff CF14 4XN, UK
- Bacterial Reference Department, UK Health Security Agency, London NW9 5DF, UK
- Department of Biology, Ineos Oxford Institute, University of Oxford, Oxford OX1 3RE, UK
| | - Kirsty Sands
- Department of Medical Microbiology, Division of Infection and Immunity, Cardiff University, 6th Floor University Hospital of Wales, Cardiff CF14 4XN, UK
- Department of Biology, Ineos Oxford Institute, University of Oxford, Oxford OX1 3RE, UK
| | - Stephanie Lo
- Parasites and Microbes Programme, The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Victoria J. Chalker
- Bacterial Reference Department, UK Health Security Agency, London NW9 5DF, UK
| | - Elita Jauneikaite
- NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, London W12 0NN, UK
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Owen B. Spiller
- Department of Medical Microbiology, Division of Infection and Immunity, Cardiff University, 6th Floor University Hospital of Wales, Cardiff CF14 4XN, UK
- Bacterial Reference Department, UK Health Security Agency, London NW9 5DF, UK
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Jibril AH, Okeke IN, Dalsgaard A, Olsen JE. Prevalence and whole genome phylogenetic analysis reveal genetic relatedness between antibiotic resistance Salmonella in hatchlings and older chickens from farms in Nigeria. Poult Sci 2023; 102:102427. [PMID: 36584420 PMCID: PMC9827064 DOI: 10.1016/j.psj.2022.102427] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/07/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022] Open
Abstract
The presence of Salmonella in hatchlings is the single most important risk factor for the introduction of Salmonella into poultry farms, and resistant strains are particularly worrisome, as they could affect treatment outcomes in humans infected through consumption of contaminated poultry products. This study estimated Salmonella prevalence, determined resistance profiles of strains recovered from hatchlings in Nigeria, and determined genetic relatedness between hatchling strains and strains from poultry farms. In this study, 300 fecal samples were collected. Salmonella was isolated by culture and confirmed by PCR, and isolates were tested for susceptibility to antimicrobials by the disk diffusion method. Strains were pair-end sequenced, and genomes were used to obtain serotypes and antibiotic resistance genes. Whole-genome based phylogenetic analysis was used to determine genetic relatedness between these isolates and strains from previously characterized older chicken within the same geographical area. A prevalence of 10.7% was obtained belonging to 13 Salmonella serovars. Resistance to kanamycin (30/32), ciprofloxacin (22/32), nalidixic acid (22/32), and sulfonamides (22/32) were the most commonly observed phenotypic resistances. Twenty-two (68.8%) isolates showed multidrug resistance. In silico predictions identified 36 antimicrobial resistance genes. Four (12.5%) and 22 (68.8%) strains showed point mutations in gyrA and parC. Commonly observed acquired resistance genes included sul1, sul2, sul3, and tet(A) as well as a variety of aminoglycoside-modifying genes. Eleven (34.4%) isolates were predicted to have genes that confer resistance to fosfomycin (fosA7, fosB). A strain of S. Stanleyville was predicted to have optrA, which confers resistance to furazolidone. Strains of S. Kentucky, S. Muenster, and S. Menston obtained from hatchlings showed close genetic relatedness by having less than 30 SNPs difference to strains recovered from chickens at farms previously receiving hatchlings from the same sources.
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Affiliation(s)
- Abdurrahman Hassan Jibril
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Anders Dalsgaard
- Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
| | - John Elmerdahl Olsen
- Department of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Usmanu Danfodiyo University Sokoto, Sokoto, Nigeria
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Genomic surveillance uncovers ongoing transmission of carbapenem-resistant Acinetobacter baumannii (CRAB) and identifies actionable routes of transmissions in an endemic setting. Infect Control Hosp Epidemiol 2023; 44:460-466. [PMID: 35603837 DOI: 10.1017/ice.2022.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE In our center, previous infection prevention and control (IPC) resources were concentrated on multidrug-resistant organisms other than CRAB because the rate of CRAB was stable with no evidence of outbreaks. Triggered by an increase in the baseline rate of CRAB isolated in clinical cultures, we investigated horizontal transmission of CRAB to guide targeted IPC actions. METHODS We prospectively collected clinical data of patients with positive CRAB cultures. We identified genetic relatedness of CRAB isolates using whole-genome sequencing. Findings were regularly presented to the IPC committee, and follow-up actions were documented. RESULTS During the study period, 66 CRAB isolates were available for WGS. Including 12 clinical isolates and 10 environmental isolates from a previous study, a total of 88 samples were subjected to WGS, of which 83 were successfully sequenced and included in the phylogenetic analysis. We identified 5 clusters involving 44 patients. Genomic transmissions were explained by spatiotemporal overlap in 12 patients and by spatial overlap only in 12 patients. The focus of transmission was deduced to be the intensive care units. One cluster was related to a retrospective environmental isolate, suggesting the environment as a possible route of transmission. Discussion of these findings at multidisciplinary IPC meetings led to implementation of measures focusing on environmental hygiene, including hydrogen peroxide vapor disinfection in addition to terminal cleaning for rooms occupied by CRAB patients. CONCLUSIONS We showed that WGS could be utilized as a "tool of persuasion" by demonstrating the presence of ongoing transmission of CRAB in an endemic setting, and by identifying actionable routes of transmission for directed IPC interventions.
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Gebremichael Y, Crandall J, Mukhopadhyay R, Xu F. Salmonella Subpopulations Identified from Human Specimens Express Heterogenous Phenotypes That Are Relevant to Clinical Diagnosis. Microbiol Spectr 2023; 11:e0167922. [PMID: 36507668 PMCID: PMC9927314 DOI: 10.1128/spectrum.01679-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 11/08/2022] [Indexed: 12/15/2022] Open
Abstract
Clonal bacterial cells can give rise to functionally heterogeneous subpopulations. This diversification is considered an adaptation strategy that has been demonstrated for several bacterial species, including Salmonella enterica serovar Typhimurium. In previous studies on mouse models infected orally with pure Salmonella cultures, derived bacterial cells collected from animal tissues were found to express heterogenous phenotypes. Here, we show mixed Salmonella populations, apparently derived from the same progenitor, present in human specimens collected at a single disease time point, and in a long-term-infected patient, these Salmonella were no longer expressing surface-exposed antigen epitopes by isolates collected at earlier days of the disease. The subpopulations express different phenotypes related to cell surface antigen expression, motility, biofilm formation, biochemical metabolism, and antibiotic resistance, which can all contribute to pathogenicity. Some of the phenotypes correlate with single nucleotide polymorphisms or other sequence changes in bacterial genomes. These genetic variations can alter synthesis of cell membrane-associated molecules such as lipopolysaccharides and lipoproteins, leading to changes in bacterial surface structure and function. This study demonstrates the limitation of Salmonella diagnostic methods that are based on a single-cell population which may not represent the heterogenous bacterial community in infected humans. IMPORTANCE In animal model systems, heterogenous Salmonella phenotypes were found previously to regulate bacterial infections. We describe in this communication that different Salmonella phenotypes also exist in infected humans at a single disease time point and that their phenotypic and molecular traits are associated with different aspects of pathogenicity. Notably, variation in genes encoding antibiotic resistance and two-component systems were observed from the subpopulations of a patient suffering from persistent salmonellosis. Therefore, clinical and public health interventions of the disease that are based on diagnosis of a single-cell population may miss other subpopulations that can cause residual human infections.
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Affiliation(s)
- Yismashoa Gebremichael
- Microbial Diseases Laboratory, California Department of Public Health, Richmond, California, USA
| | - John Crandall
- Microbial Diseases Laboratory, California Department of Public Health, Richmond, California, USA
| | - Rituparna Mukhopadhyay
- Microbial Diseases Laboratory, California Department of Public Health, Richmond, California, USA
| | - Fengfeng Xu
- Microbial Diseases Laboratory, California Department of Public Health, Richmond, California, USA
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Ahmadi A, Khezri A, Nørstebø H, Ahmad R. A culture-, amplification-independent, and rapid method for identification of pathogens and antibiotic resistance profile in bovine mastitis milk. Front Microbiol 2023; 13:1104701. [PMID: 36687564 PMCID: PMC9852903 DOI: 10.3389/fmicb.2022.1104701] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/19/2022] [Indexed: 01/07/2023] Open
Abstract
Introduction Rapid and accurate diagnosis of causative pathogens in mastitis would minimize the imprudent use of antibiotics and, therefore, reduce the spread of antimicrobial resistance. Whole genome sequencing offers a unique opportunity to study the microbial community and antimicrobial resistance (AMR) in mastitis. However, the complexity of milk samples and the presence of a high amount of host DNA in milk from infected udders often make this very challenging. Methods Here, we tested 24 bovine milk samples (18 mastitis and six non-mastitis) using four different commercial kits (Qiagens' DNeasy® PowerFood® Microbial, Norgens' Milk Bacterial DNA Isolation, and Molzyms' MolYsis™ Plus and Complete5) in combination with filtration, low-speed centrifugation, nuclease, and 10% bile extract of male bovine (Ox bile). Isolated DNA was quantified, checked for the presence/absence of host and pathogen using PCR and sequenced using MinION nanopore sequencing. Bioinformatics analysis was performed for taxonomic classification and antimicrobial resistance gene detection. Results The results showed that kits designed explicitly for bacterial DNA isolation from food and dairy matrices could not deplete/minimize host DNA. Following using MolYsis™ Complete 5 + 10% Ox bile + micrococcal nuclease combination, on average, 17% and 66.5% of reads were classified as bovine and Staphylococcus aureus reads, respectively. This combination also effectively enriched other mastitis pathogens, including Escherichia coli and Streptococcus dysgalactiae. Furthermore, using this approach, we identified important AMR genes such as Tet (A), Tet (38), fosB-Saur, and blaZ. We showed that even 40 min of the MinION run was enough for bacterial identification and detecting the first AMR gene. Conclusion We implemented an effective method (sensitivity of 100% and specificity of 92.3%) for host DNA removal and bacterial DNA enrichment (both gram-negative and positive) directly from bovine mastitis milk. To the best of our knowledge, this is the first culture- and amplification-independent study using nanopore-based metagenomic sequencing for real-time detection of the pathogen (within 5 hours) and the AMR profile (within 5-9 hours), in mastitis milk samples. These results provide a promising and potential future on-farm adaptable approach for better clinical management of mastitis.
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Affiliation(s)
- Asal Ahmadi
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway
| | - Abdolrahman Khezri
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway
| | | | - Rafi Ahmad
- Department of Biotechnology, Inland Norway University of Applied Sciences, Hamar, Norway,Institute of Clinical Medicine, Faculty of Health Sciences, UiT–The Arctic University of Norway, Tromsø, Norway,*Correspondence: Rafi Ahmad,
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Web-based prediction of antimicrobial resistance in enterococcal clinical isolates by whole-genome sequencing. Eur J Clin Microbiol Infect Dis 2023; 42:67-76. [PMID: 36378364 DOI: 10.1007/s10096-022-04527-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
Besides phenotypic antimicrobial susceptibility testing (AST), whole genome sequencing (WGS) is a promising alternative approach for detection of resistance phenotypes. The aim of this study was to investigate the concordance between WGS-based resistance prediction and phenotypic AST results for enterococcal clinical isolates using a user-friendly online tools and databases. A total of 172 clinical isolates (34 E. faecalis, 138 E. faecium) received at the French National Reference Center for enterococci from 2017 to 2020 were included. AST was performed by disc diffusion or MIC determination for 14 antibiotics according to CA-SFM/EUCAST guidelines. The genome of all strains was sequenced using the Illumina technology (MiSeq) with bioinformatic analysis from raw reads using online tools ResFinder 4.1 and LRE-finder 1.0. For both E. faecalis and E. faecium, performances of WGS-based genotype to predict resistant phenotypes were excellent (concordance > 90%), particularly for antibiotics commonly used for treatment of enterococcal infections such as ampicillin, gentamicin, vancomycin, teicoplanin, and linezolid. Note that 100% very major errors were found for quinupristin-dalfopristin, tigecycline, and rifampicin for which resistance mutations are not included in databases. Also, it was not possible to predict phenotype from genotype for daptomycin for the same reason. WGS combined with online tools could be easily used by non-expert clinical microbiologists as a rapid and reliable tool for prediction of phenotypic resistance to first-line antibiotics among enterococci. Nonetheless, some improvements should be made such as the implementation of resistance mutations in the database for some antibiotics.
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Light E, Baker-Austin C, Card RM, Ryder D, Alves MT, Al-Sarawi HA, Abdulla KH, Stahl H, Al-Ghabshi A, Alghoribi MF, Balkhy HH, Joseph A, Hughes A, Quesne WJL, Verner-Jeffreys DW, Lyons BP. Establishing a marine monitoring programme to assess antibiotic resistance: A case study from the Gulf Cooperation Council (GCC) region. ENVIRONMENTAL ADVANCES 2022; 9:None. [PMID: 36466197 PMCID: PMC9710716 DOI: 10.1016/j.envadv.2022.100268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/13/2022] [Accepted: 07/25/2022] [Indexed: 05/29/2023]
Abstract
The World Health Organization considers antimicrobial resistance as one of the most pressing global issues which poses a fundamental threat to human health, development, and security. Due to demographic and environmental factors, the marine environment of the Gulf Cooperation Council (GCC) region may be particularly susceptible to the threat of antimicrobial resistance. However, there is currently little information on the presence of AMR in the GCC marine environment to inform the design of appropriate targeted surveillance activities. The objective of this study was to develop, implement and conduct a rapid regional baseline monitoring survey of the presence of AMR in the GCC marine environment, through the analysis of seawater collected from high-risk areas across four GCC states: (Bahrain, Oman, Kuwait, and the United Arab Emirates). 560 Escherichia coli strains were analysed as part of this monitoring programme between December 2018 and May 2019. Multi-drug resistance (resistance to three or more structural classes of antimicrobials) was observed in 32.5% of tested isolates. High levels of reduced susceptibility to ampicillin (29.6%), nalidixic acid (27.9%), tetracycline (27.5%), sulfamethoxazole (22.5%) and trimethoprim (22.5%) were observed. Reduced susceptibility to the high priority critically important antimicrobials: azithromycin (9.3%), ceftazidime (12.7%), cefotaxime (12.7%), ciprofloxacin (44.6%), gentamicin (2.7%) and tigecycline (0.5%), was also noted. A subset of 173 isolates was whole genome sequenced, and high carriage rates of qnrS1 (60/173) and bla CTX-M-15 (45/173) were observed, correlating with reduced susceptibility to the fluoroquinolones and third generation cephalosporins, respectively. This study is important because of the resistance patterns observed, the demonstrated utility in applying genomic-based approaches to routine microbiological monitoring, and the overall establishment of a transnational AMR surveillance framework focussed on coastal and marine environments.
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Affiliation(s)
- Edel Light
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
- UK FAO Reference Centre for Antimicrobial Resistance, Veterinary Medicines Directorate, Woodham Lane, New Haw, Addlestone, Surrey, UK
| | - Craig Baker-Austin
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
| | - Roderick M. Card
- UK FAO Reference Centre for Antimicrobial Resistance, Veterinary Medicines Directorate, Woodham Lane, New Haw, Addlestone, Surrey, UK
- Department of Bacteriology, Animal and Plant Health Agency, Woodham Lane, New Haw, Addlestone, Surrey, UK
| | - David Ryder
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
| | - Mickael Teixeira Alves
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
| | - Hanan A. Al-Sarawi
- Kuwait Environment Public Authority (KEPA), P.O. Box: 24395, Safat 13104, Kuwait
| | | | - Henrik Stahl
- Zayed University, Academic City, 192 82 Dubai, United Arab Emirates
| | - Aliya Al-Ghabshi
- Al-Khabourah Vocational College for Marine Sciences, Ministry of Higher Education, Scientific Research and Innovation, Oman
| | - Majed F. Alghoribi
- King Abdullah International Medical Research Centre, KAIMRC, Saudi Arabia
| | | | - Andrew Joseph
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
| | - Alexandra Hughes
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
| | - Will J.F. Le Quesne
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Suffolk, Lowestoft NR33 0HT, United Kingdom
| | - David W. Verner-Jeffreys
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
- UK FAO Reference Centre for Antimicrobial Resistance, Veterinary Medicines Directorate, Woodham Lane, New Haw, Addlestone, Surrey, UK
| | - Brett P. Lyons
- Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, Dorset DT4 8UB, United Kingdom
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Wei SS, Yen CM, Marshall IPG, Hamid HA, Kamal SS, Nielsen DS, Ahmad HF. Gut microbiome and metabolome of sea cucumber (Stichopus ocellatus) as putative markers for monitoring the marine sediment pollution in Pahang, Malaysia. MARINE POLLUTION BULLETIN 2022; 182:114022. [PMID: 35963228 DOI: 10.1016/j.marpolbul.2022.114022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
Antibiotic contamination in the marine environment forms an emerging threat to marine ecosystems. This study aimed to compare the gut and coelomic microbiota of Stichopus ocellatus with sediments between two coastal districts of Pahang, which potentially conferring as putative biomarkers for sediment pollution monitoring. The composition of the bacteria communities was determined using 16S rRNA V3-region gene amplicon sequencing, while hybrid whole-genome sequencing was employed to analyze the genome of Vibrio parahaemolyticus. The trace elements and antibiotic compositions were access using high-throughput spectrometry. The alpha- and beta-diversity of bacteria in gut and sediment samples from Kuantan differed substantially within (p-value = 0.017604) and between samples (p-value <0.007), respectively. Vibrio genera predominated in Kuantan samples, while Flavobacterium and Synechococcus_E genera predominated in Pekan samples. Vibrio parahaemolyticus revealed the presence of tet(35) and blaCARB-33 genes that conceived resistance towards tetracycline and beta-lactam antibiotics, respectively, which were detected in sediment and gut samples.
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Affiliation(s)
- Siew Shing Wei
- Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
| | - Choo Mei Yen
- Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia
| | - Ian P G Marshall
- Center for Electromicrobiology, Department of Biology, Ny Munkegade 116, 8000 Aarhus C, Denmark.
| | - Hazrulrizawati Abd Hamid
- Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia; Centre for Research in Advanced Tropical Bioscience (Biotropic Centre), Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia.
| | - Shamrulazhar Shamzir Kamal
- Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia.
| | | | - Hajar Fauzan Ahmad
- Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia.
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Near-Complete Whole-Genome Sequencing of Two Burkholderia pseudomallei Strains Harbouring Novel Molecular Class D Beta-Lactamase Genes, Isolated from Malaysia. Microbiol Resour Announc 2022; 11:e0046822. [PMID: 36043870 PMCID: PMC9583775 DOI: 10.1128/mra.00468-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Here, we present two 7.1- and 7.3-bp near-complete genome sequences of Burkholderia pseudomallei strains of HTAA077 and HRPB058, isolated from a pus culture from a confirmed melioidosis patient at Hospital Tengku Ampuan Afzan, Kuantan, Malaysia, and from blood culture from a patient at Hospital Raja Permaisuri Bainun, Ipoh, Malaysia, using a Nanopore MinION instrument.
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González-Santamarina B, Weber M, Menge C, Berens C. Comparative Genomic Analysis of Antimicrobial-Resistant Escherichia coli from South American Camelids in Central Germany. Microorganisms 2022; 10:microorganisms10091697. [PMID: 36144308 PMCID: PMC9501560 DOI: 10.3390/microorganisms10091697] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
South American camelids (SAC) are increasingly kept in Europe in close contact with humans and other livestock species and can potentially contribute to transmission chains of epizootic, zoonotic and antimicrobial-resistant (AMR) agents from and to livestock and humans. Consequently, SAC were included as livestock species in the new European Animal Health Law. However, the knowledge on bacteria exhibiting AMR in SAC is too scarce to draft appropriate monitoring and preventive programs. During a survey of SAC holdings in central Germany, 39 Escherichia coli strains were isolated from composite fecal samples by selecting for cephalosporin or fluoroquinolone resistance and were here subjected to whole-genome sequencing. The data were bioinformatically analyzed for strain phylogeny, detection of pathovars, AMR genes and plasmids. Most (33/39) strains belonged to phylogroups A and B1. Still, the isolates were highly diverse, as evidenced by 28 multi-locus sequence types. More than half of the isolates (23/39) were genotypically classified as multidrug resistant. Genes mediating resistance to trimethoprim/sulfonamides (22/39), aminoglycosides (20/39) and tetracyclines (18/39) were frequent. The most common extended-spectrum-β-lactamase gene was blaCTX-M-1 (16/39). One strain was classified as enteropathogenic E. coli. The positive results indicate the need to include AMR bacteria in yet-to-be-established animal disease surveillance protocols for SAC.
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Fang L, Lin G, Li Y, Lin Q, Lou H, Lin M, Hu Y, Xie A, Zhang Q, Zhou J, Zhang L. Genomic characterization of Salmonella enterica serovar Kentucky and London recovered from food and human salmonellosis in Zhejiang Province, China (2016–2021). Front Microbiol 2022; 13:961739. [PMID: 36060737 PMCID: PMC9437622 DOI: 10.3389/fmicb.2022.961739] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/01/2022] [Indexed: 11/13/2022] Open
Abstract
Increasing human salmonellosis caused by Salmonella enterica serovar Kentucky and London has raised serious concerns. To better understand possible health risks, insights were provided into specific genetic traits and antimicrobial resistance of 88 representative isolates from human and food sources in Zhejiang Province, China, during 2016–2021. Phylogenomic analysis revealed consistent clustering of isolates into the respective serovar or sequence types, and identified plausible interhost transmission via distinct routes. Each serovar exhibited remarkable diversity in host range and disease-causing potential by cgMLST analyses, and approximately half (48.6%, 17/35) of the food isolates were phylogenetically indistinguishable to those of clinical isolates in the same region. S. London and S. Kentucky harbored serovar-specific virulence genes contributing to their functions in pathogenesis. The overall resistance genotypes correlated with 97.7% sensitivity and 60.2% specificity to the identified phenotypes. Resistance to ciprofloxacin, cefazolin, tetracycline, ampicillin, azithromycin, chloramphenicol, as well as multidrug resistance, was common. High-level dual resistance to ciprofloxacin and cephalosporins in S. Kentucky ST198 isolates highlights evolving threats of antibiotic resistance. These findings underscored the necessity for the development of effective strategies to mitigate the risk of food contamination by Salmonella host-restricted serovars.
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Affiliation(s)
- Lei Fang
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China
| | - Guankai Lin
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Yi Li
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Qiange Lin
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Huihuang Lou
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Meifeng Lin
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Yuqin Hu
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Airong Xie
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Qinyi Zhang
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiancang Zhou
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China
- *Correspondence: Jiancang Zhou
| | - Leyi Zhang
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
- Leyi Zhang
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Cason C, D’Accolti M, Soffritti I, Mazzacane S, Comar M, Caselli E. Next-generation sequencing and PCR technologies in monitoring the hospital microbiome and its drug resistance. Front Microbiol 2022; 13:969863. [PMID: 35966671 PMCID: PMC9370071 DOI: 10.3389/fmicb.2022.969863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
The hospital environment significantly contributes to the onset of healthcare-associated infections (HAIs), which represent one of the most frequent complications occurring in healthcare facilities worldwide. Moreover, the increased antimicrobial resistance (AMR) characterizing HAI-associated microbes is one of the human health’s main concerns, requiring the characterization of the contaminating microbial population in the hospital environment. The monitoring of surface microbiota in hospitals is generally addressed by microbial cultural isolation. However, this has some important limitations mainly relating to the inability to define the whole drug-resistance profile of the contaminating microbiota and to the long time period required to obtain the results. Hence, there is an urgent need to implement environmental surveillance systems using more effective methods. Molecular approaches, including next-generation sequencing and PCR assays, may be useful and effective tools to monitor microbial contamination, especially the growing AMR of HAI-associated pathogens. Herein, we summarize the results of our recent studies using culture-based and molecular analyses in 12 hospitals for adults and children over a 5-year period, highlighting the advantages and disadvantages of the techniques used.
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Affiliation(s)
- Carolina Cason
- Department of Advanced Translational Microbiology, Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Trieste, Italy
| | - Maria D’Accolti
- Department of Chemical, Pharmaceutical and Agricultural Sciences, Section of Microbiology and LTTA, University of Ferrara, Ferrara, Italy
- CIAS Research Centre, University of Ferrara, Ferrara, Italy
| | - Irene Soffritti
- Department of Chemical, Pharmaceutical and Agricultural Sciences, Section of Microbiology and LTTA, University of Ferrara, Ferrara, Italy
- CIAS Research Centre, University of Ferrara, Ferrara, Italy
| | | | - Manola Comar
- Department of Advanced Translational Microbiology, Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Trieste, Italy
- Department of Medical Sciences, University of Trieste, Trieste, Italy
| | - Elisabetta Caselli
- Department of Chemical, Pharmaceutical and Agricultural Sciences, Section of Microbiology and LTTA, University of Ferrara, Ferrara, Italy
- CIAS Research Centre, University of Ferrara, Ferrara, Italy
- *Correspondence: Elisabetta Caselli,
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Machado D, Barbosa JC, Almeida D, Andrade JC, Freitas AC, Gomes AM. Insights into the Antimicrobial Resistance Profile of a Next Generation Probiotic Akkermansia muciniphila DSM 22959. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159152. [PMID: 35954507 PMCID: PMC9367757 DOI: 10.3390/ijerph19159152] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 02/05/2023]
Abstract
Akkermansia muciniphila is a Gram-negative intestinal anaerobic bacterium recently proposed as a novel probiotic candidate to be incorporated in food and pharmaceutical forms. Despite its multiple health benefits, the data addressing its antimicrobial susceptibility profile remain scarce. However, the absence of acquired resistance in probiotic strains is a compulsory criterion for its approval in the qualified presumption of safety list. This study aimed at characterizing the A. muciniphila DSM 22959 strain’s antimicrobial susceptibility profile using phenotypic and in silico approaches. To establish the phenotypic antimicrobial susceptibility profile of this strain, minimum inhibitory concentrations of eight antimicrobials were determined using broth microdilution and E-test methods. Additionally, the A. muciniphila DSM 22959 genome was screened using available databases and bioinformatics tools to identify putative antimicrobial resistance genes (ARG), virulence factors (VF), genomic islands (GI), and mobile genetic elements (MGE). The same categorization was obtained for both phenotypic methods. Resistance phenotype was observed for gentamicin, kanamycin, streptomycin, and ciprofloxacin, which was supported by the genomic context. No evidence was found of horizontal acquisition or potential transferability of the identified ARG and VF. Thus, this study provides new insights regarding the phenotypic and genotypic antimicrobial susceptibility profiles of the probiotic candidate A. muciniphila DSM 22959.
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Affiliation(s)
- Daniela Machado
- CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (D.M.); (J.C.B.); (D.A.); (A.C.F.); (A.M.G.)
| | - Joana Cristina Barbosa
- CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (D.M.); (J.C.B.); (D.A.); (A.C.F.); (A.M.G.)
| | - Diana Almeida
- CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (D.M.); (J.C.B.); (D.A.); (A.C.F.); (A.M.G.)
| | - José Carlos Andrade
- TOXRUN—Toxicology Research Unit, University Institute of Health Sciences, CESPU, CRL, 4585-116 Gandra, Portugal
- Correspondence:
| | - Ana Cristina Freitas
- CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (D.M.); (J.C.B.); (D.A.); (A.C.F.); (A.M.G.)
| | - Ana Maria Gomes
- CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal; (D.M.); (J.C.B.); (D.A.); (A.C.F.); (A.M.G.)
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Gopinath GR, Jang H, Beaubrun JJG, Gangiredla J, Mammel MK, Müller A, Tamber S, Patel IR, Ewing L, Weinstein LM, Wang CZ, Finkelstein S, Negrete F, Muruvanda T, Allard M, Sockett DC, Pagotto F, Tall BD, Stephan R. Phylogenomic Analysis of Salmonella enterica subsp. enterica Serovar Bovismorbificans from Clinical and Food Samples Using Whole Genome Wide Core Genes and kmer Binning Methods to Identify Two Distinct Polyphyletic Genome Pathotypes. Microorganisms 2022; 10:microorganisms10061199. [PMID: 35744717 PMCID: PMC9228720 DOI: 10.3390/microorganisms10061199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 12/04/2022] Open
Abstract
Salmonella enterica subsp. enterica serovar Bovismorbificans has caused multiple outbreaks involving the consumption of produce, hummus, and processed meat products worldwide. To elucidate the intra-serovar genomic structure of S. Bovismorbificans, a core-genome analysis with 2690 loci (based on 150 complete genomes representing Salmonella enterica serovars developed as part of this study) and a k-mer-binning based strategy were carried out on 95 whole genome sequencing (WGS) assemblies from Swiss, Canadian, and USA collections of S. Bovismorbificans strains from foodborne infections. Data mining of a digital DNA tiling array of legacy SARA and SARB strains was conducted to identify near-neighbors of S. Bovismorbificans. The core genome analysis and the k-mer-binning methods identified two polyphyletic clusters, each with emerging evolutionary properties. Four STs (2640, 142, 1499, and 377), which constituted the majority of the publicly available WGS datasets from >260 strains analyzed by k-mer-binning based strategy, contained a conserved core genome backbone with a different evolutionary lineage as compared to strains comprising the other cluster (ST150). In addition, the assortment of genotypic features contributing to pathogenesis and persistence, such as antimicrobial resistance, prophage, plasmid, and virulence factor genes, were assessed to understand the emerging characteristics of this serovar that are relevant clinically and for food safety concerns. The phylogenomic profiling of polyphyletic S. Bovismorbificans in this study corresponds to intra-serovar variations observed in S. Napoli and S. Newport serovars using similar high-resolution genomic profiling approaches and contributes to the understanding of the evolution and sequence divergence of foodborne Salmonellae. These intra-serovar differences may have to be thoroughly understood for the accurate classification of foodborne Salmonella strains needed for the uniform development of future food safety mitigation strategies.
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Affiliation(s)
- Gopal R. Gopinath
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
- Correspondence: ; Tel.: +1-240-402-3612
| | - Hyein Jang
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Junia Jean-Gilles Beaubrun
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
- Biological Analysis Division, Public Health Command Europe Laboratory Sciences, Room 102, Bldg 3810, Kirchberg Kaserne, RP 66849 Landstuhl, Germany
| | - Jayanthi Gangiredla
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Mark K. Mammel
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Andrea Müller
- Institute for Food Safety and Hygiene, University of Zurich, CH-8057 Zurich, Switzerland; (A.M.); (R.S.)
| | - Sandeep Tamber
- Food Directorate, Bureau of Microbial Hazards/Health Canada, Ottawa, ON K1A 0K9, Canada; (S.T.); (F.P.)
| | - Isha R. Patel
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Laura Ewing
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Leah M. Weinstein
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Caroline Z. Wang
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Samantha Finkelstein
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Flavia Negrete
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Tim Muruvanda
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA; (T.M.); (M.A.)
| | - Marc Allard
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA; (T.M.); (M.A.)
| | - Donald C. Sockett
- Wisconsin Veterinary Diagnostic Laboratory, University of Wisconsin-Madison, Madison, WI 53706, USA;
| | - Franco Pagotto
- Food Directorate, Bureau of Microbial Hazards/Health Canada, Ottawa, ON K1A 0K9, Canada; (S.T.); (F.P.)
| | - Ben D. Tall
- Center of Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, MD 20708, USA; (H.J.); (J.J.-G.B.); (J.G.); (M.K.M.); (I.R.P.); (L.E.); (L.M.W.); (C.Z.W.); (S.F.); (F.N.); (B.D.T.)
| | - Roger Stephan
- Institute for Food Safety and Hygiene, University of Zurich, CH-8057 Zurich, Switzerland; (A.M.); (R.S.)
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Marini S, Oliva M, Slizovskiy IB, Das RA, Noyes NR, Kahveci T, Boucher C, Prosperi M. AMR-meta: a k-mer and metafeature approach to classify antimicrobial resistance from high-throughput short-read metagenomics data. Gigascience 2022; 11:6588116. [PMID: 35583675 PMCID: PMC9116207 DOI: 10.1093/gigascience/giac029] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/27/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Antimicrobial resistance (AMR) is a global health concern. High-throughput metagenomic sequencing of microbial samples enables profiling of AMR genes through comparison with curated AMR databases. However, the performance of current methods is often hampered by database incompleteness and the presence of homology/homoplasy with other non-AMR genes in sequenced samples. RESULTS We present AMR-meta, a database-free and alignment-free approach, based on k-mers, which combines algebraic matrix factorization into metafeatures with regularized regression. Metafeatures capture multi-level gene diversity across the main antibiotic classes. AMR-meta takes in reads from metagenomic shotgun sequencing and outputs predictions about whether those reads contribute to resistance against specific classes of antibiotics. In addition, AMR-meta uses an augmented training strategy that joins an AMR gene database with non-AMR genes (used as negative examples). We compare AMR-meta with AMRPlusPlus, DeepARG, and Meta-MARC, further testing their ensemble via a voting system. In cross-validation, AMR-meta has a median f-score of 0.7 (interquartile range, 0.2-0.9). On semi-synthetic metagenomic data-external test-on average AMR-meta yields a 1.3-fold hit rate increase over existing methods. In terms of run-time, AMR-meta is 3 times faster than DeepARG, 30 times faster than Meta-MARC, and as fast as AMRPlusPlus. Finally, we note that differences in AMR ontologies and observed variance of all tools in classification outputs call for further development on standardization of benchmarking data and protocols. CONCLUSIONS AMR-meta is a fast, accurate classifier that exploits non-AMR negative sets to improve sensitivity and specificity. The differences in AMR ontologies and the high variance of all tools in classification outputs call for the deployment of standard benchmarking data and protocols, to fairly compare AMR prediction tools.
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Affiliation(s)
- Simone Marini
- Department of Computer and Information Science and Engineering, University of Florida, 2004 Mowry Road Gainesville, FL 32610, USA
| | - Marco Oliva
- Department of Computer and Information Science and Engineering, University of Florida, 432 Newell Dr, Gainesville, FL 32611, USA
| | - Ilya B Slizovskiy
- Department of Veterinary Population Medicine, University of Minnesota, 1365 Gortner Avenue 225, St. Paul, MN 55108, USA
| | - Rishabh A Das
- Department of Computer and Information Science and Engineering, University of Florida, 2004 Mowry Road Gainesville, FL 32610, USA
| | - Noelle Robertson Noyes
- Department of Veterinary Population Medicine, University of Minnesota, 1365 Gortner Avenue 225, St. Paul, MN 55108, USA
| | - Tamer Kahveci
- Department of Computer and Information Science and Engineering, University of Florida, 432 Newell Dr, Gainesville, FL 32611, USA
| | - Christina Boucher
- Department of Computer and Information Science and Engineering, University of Florida, 432 Newell Dr, Gainesville, FL 32611, USA
| | - Mattia Prosperi
- Department of Computer and Information Science and Engineering, University of Florida, 2004 Mowry Road Gainesville, FL 32610, USA
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Gião J, Leão C, Albuquerque T, Clemente L, Amaro A. Antimicrobial Susceptibility of Enterococcus Isolates from Cattle and Pigs in Portugal: Linezolid Resistance Genes optrA and poxtA. Antibiotics (Basel) 2022; 11:615. [PMID: 35625259 PMCID: PMC9137492 DOI: 10.3390/antibiotics11050615] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 04/22/2022] [Accepted: 04/26/2022] [Indexed: 11/16/2022] Open
Abstract
Enterococci are part of the commensal gut microbiota of mammals, with Enterococcus faecalis and Enterococcus faecium being the most clinically relevant species. This study assesses the prevalence and diversity of enterococcal species in cattle (n = 201) and pig (n = 249) cecal samples collected in 2017. Antimicrobial susceptibility profiles of E. faecium (n = 48) and E. faecalis (n = 84) were assessed by agar and microdilution methods. Resistance genes were screened through PCR and nine strains were analyzed by Whole Genome Sequencing. A wide range of enterococci species was found colonizing the intestines of pigs and cattle. Overall, the prevalence of resistance to critically important antibiotics was low (except for erythromycin), and no glycopeptide-resistant isolates were identified. Two daptomycin-resistant E. faecalis ST58 and ST93 were found. Linezolid-resistant strains of E. faecalis (n = 3) and E. faecium (n = 1) were detected. Moreover, oxazolidinone resistance determinants optrA (n = 8) and poxtA (n = 2) were found in E. faecalis (ST16, ST58, ST207, ST474, ST1178) and E. faecium (ST22, ST2138). Multiple variants of optrA were found in different genetic contexts, either in the chromosome or plasmids. We highlight the importance of animals as reservoirs of resistance genes to critically important antibiotics.
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Affiliation(s)
- Joana Gião
- Laboratory of Bacteriology and Mycology, INIAV—National Institute of Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal; (J.G.); (C.L.); (T.A.); (L.C.)
- Department of Veterinary Medicine, University of Évora, 7002-554 Évora, Portugal
| | - Célia Leão
- Laboratory of Bacteriology and Mycology, INIAV—National Institute of Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal; (J.G.); (C.L.); (T.A.); (L.C.)
- MED—Mediterranean Institute for Agriculture, Environment and Development, 7006-554 Évora, Portugal
| | - Teresa Albuquerque
- Laboratory of Bacteriology and Mycology, INIAV—National Institute of Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal; (J.G.); (C.L.); (T.A.); (L.C.)
| | - Lurdes Clemente
- Laboratory of Bacteriology and Mycology, INIAV—National Institute of Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal; (J.G.); (C.L.); (T.A.); (L.C.)
- CIISA—Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Science, University of Lisbon, 1300-477 Lisboa, Portugal
| | - Ana Amaro
- Laboratory of Bacteriology and Mycology, INIAV—National Institute of Agrarian and Veterinary Research, 2780-157 Oeiras, Portugal; (J.G.); (C.L.); (T.A.); (L.C.)
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Petrillo M, Fabbri M, Kagkli DM, Querci M, Van den Eede G, Alm E, Aytan-Aktug D, Capella-Gutierrez S, Carrillo C, Cestaro A, Chan KG, Coque T, Endrullat C, Gut I, Hammer P, Kay GL, Madec JY, Mather AE, McHardy AC, Naas T, Paracchini V, Peter S, Pightling A, Raffael B, Rossen J, Ruppé E, Schlaberg R, Vanneste K, Weber LM, Westh H, Angers-Loustau A. A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing. F1000Res 2022; 10:80. [PMID: 35847383 PMCID: PMC9243550 DOI: 10.12688/f1000research.39214.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/10/2022] [Indexed: 11/20/2022] Open
Abstract
Next Generation Sequencing technologies significantly impact the field of Antimicrobial Resistance (AMR) detection and monitoring, with immediate uses in diagnosis and risk assessment. For this application and in general, considerable challenges remain in demonstrating sufficient trust to act upon the meaningful information produced from raw data, partly because of the reliance on bioinformatics pipelines, which can produce different results and therefore lead to different interpretations. With the constant evolution of the field, it is difficult to identify, harmonise and recommend specific methods for large-scale implementations over time. In this article, we propose to address this challenge through establishing a transparent, performance-based, evaluation approach to provide flexibility in the bioinformatics tools of choice, while demonstrating proficiency in meeting common performance standards. The approach is two-fold: first, a community-driven effort to establish and maintain “live” (dynamic) benchmarking platforms to provide relevant performance metrics, based on different use-cases, that would evolve together with the AMR field; second, agreed and defined datasets to allow the pipelines’ implementation, validation, and quality-control over time. Following previous discussions on the main challenges linked to this approach, we provide concrete recommendations and future steps, related to different aspects of the design of benchmarks, such as the selection and the characteristics of the datasets (quality, choice of pathogens and resistances, etc.), the evaluation criteria of the pipelines, and the way these resources should be deployed in the community.
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Affiliation(s)
| | - Marco Fabbri
- European Commission Joint Research Centre, Ispra, Italy
| | | | | | - Guy Van den Eede
- European Commission Joint Research Centre, Ispra, Italy
- European Commission Joint Research Centre, Geel, Belgium
| | - Erik Alm
- The European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Derya Aytan-Aktug
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | | | - Catherine Carrillo
- Ottawa Laboratory – Carling, Canadian Food Inspection Agency, Ottawa, Ontario, Canada
| | | | - Kok-Gan Chan
- International Genome Centre, Jiangsu University, Zhenjiang, China
- Division of Genetics and Molecular Biology, Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Teresa Coque
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain
| | | | - Ivo Gut
- Centro Nacional de Análisis Genómico, Centre for Genomic Regulation (CNAG-CRG), Barcelona Institute of Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Paul Hammer
- BIOMES. NGS GmbH c/o Technische Hochschule Wildau, Wildau, Germany
| | - Gemma L. Kay
- Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
| | - Jean-Yves Madec
- Unité Antibiorésistance et Virulence Bactériennes, ANSES Site de Lyon, Lyon, France
| | - Alison E. Mather
- Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
- University of East Anglia, Norwich, UK
| | | | - Thierry Naas
- French-NRC for CPEs, Service de Bactériologie-Hygiène, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France
| | | | - Silke Peter
- Institute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany
| | - Arthur Pightling
- Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, USA
| | | | - John Rossen
- Department of Medical Microbiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Robert Schlaberg
- Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Kevin Vanneste
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Lukas M. Weber
- Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland
- Present address: Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Donà V, Ramette A, Perreten V. Comparative genomics of 26 complete circular genomes of 18 different serotypes of Actinobacillus pleuropneumoniae. Microb Genom 2022; 8. [PMID: 35196217 PMCID: PMC8942016 DOI: 10.1099/mgen.0.000776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Actinobacillus pleuropneumoniae is a Gram-negative, rod-shaped bacterium of the family Pasteurellaceae causing pig pleuropneumonia associated with great economic losses worldwide. Nineteen serotypes with distinctive lipopolysaccharide (LPS) and capsular (CPS) compositions have been described so far, yet complete circular genomes are publicly available only for the reference strains of serotypes 1, 4 and 5b, and for field strains of serotypes 1, 3, 7 and 8. We aimed to complete this picture by sequencing the reference strains of 17 different serotypes with the MinION sequencer (Oxford Nanopore Technologies, ONT) and on an Illumina HiSeq (Illumina) platform. We also included two field isolates of serotypes 2 and 3 that were PacBio- and MinION-sequenced, respectively. Genome assemblies were performed following two different strategies, i.e. PacBio- or ONT-only de novo assemblies polished with Illumina reads or a hybrid assembly by directly combining ONT and Illumina reads. Both methods proved successful in obtaining accurate circular genomes with comparable qualities. blast-based genome comparisons and core-genome phylogeny based on core genes, SNP typing and multi-locus sequence typing (cgMLST) of the 26 circular genomes indicated well-conserved genomes across the 18 different serotypes, differing mainly in phage insertions, and CPS, LPS and RTX-toxin clusters, which, consistently, encode serotype-specific antigens. We also identified small antibiotic resistance plasmids, and complete subtype I-F and subtype II-C CRISPR-Cas systems. Of note, highly similar clusters encoding all those serotype-specific traits were also found in other pathogenic and commensal Actinobacillus species. Taken together with the presence of transposable elements surrounding these loci, we speculate a dynamic intra- and interspecies exchange of such virulence-related factors by horizontal gene transfer. In conclusion, our comprehensive genomics analysis provides useful information for diagnostic test and vaccine development, but also for whole-genome-based epidemiological studies, as well as for the surveillance of the evolution of antibiotic resistance and virulence genes in A. pleuropneumoniae.
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Affiliation(s)
- Valentina Donà
- Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Vincent Perreten
- Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
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Kahlmeter G, Turnidge J. How To: ECOFFs - the why, the how and the don´ts of EUCAST epidemiological cutoff values. Clin Microbiol Infect 2022; 28:952-954. [PMID: 35218980 DOI: 10.1016/j.cmi.2022.02.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Identifying the MIC wild type distribution and its delineation of species targeted for receiving antimicrobial agent breakpoints is an important first step for determining clinical breakpoints. Having the main responsibility in EUCAST for characterizing the wild-type distributions and the setting of epidemiological cutoff values (ECOFFs), we explain the why, the how and frequent misconceptions of wild-type MIC distributions and ECOFFs. OBJECTIVES To clarify how wild type MIC distributions and ECOFFs for agents and important target organisms are defined and determined and why these are important tools in microbiology, as well as to point to common misunderstandings and inappropriate use. SOURCES The EUCAST database of >40 000 MIC distributions, publications addressing the definition of wild-type MIC distributions and ECOFFs in bacteria and fungi. The EUCAST Standard Operating Procedure 10. Documents published by the European Centre for Disease Control and the European Food Safety Agency. CONTENT The rationale for defining wild-type distributions and ECOFFs is explained. Setting breakpoints that bisect wild-type MIC distributions lead to poor methodological reproducibility and poor correlation between clinical outcome and susceptibility testing results. The methods applied by the European Committee on Antimicrobial Susceptibility Testing (EUCAST) to selecting distributions for aggregation and website display are described, highlighting the importance of incorporation of data from multiple sources and methods. The methods used by EUCAST to estimate ECOFFs are outlined. Finally, the common misunderstandings of these processes are addressed. IMPLICATIONS The international community needs to agree on the phenotypic definitions of wild-type distributions. Systematic methods for developing and applying ECOFFs are essential to the conduct of phenotypic antimicrobial susceptibility testing and interpretation, which will remain the dominant laboratory method for the foreseeable future.
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Affiliation(s)
- Gunnar Kahlmeter
- Klinisk mikrobiologi, Centrallasarettet, SE-351 85 Växjö, Sweden.
| | - John Turnidge
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia
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McHugh MP, Parcell BJ, Pettigrew KA, Toner G, Khatamzas E, El Sakka N, Karcher AM, Walker J, Weir R, Meunier D, Hopkins KL, Woodford N, Templeton KE, Gillespie SH, Holden MTG. Presence of optrA-mediated linezolid resistance in multiple lineages and plasmids of Enterococcus faecalis revealed by long read sequencing. MICROBIOLOGY (READING, ENGLAND) 2022; 168. [PMID: 35130141 PMCID: PMC8941993 DOI: 10.1099/mic.0.001137] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Transferable linezolid resistance due to optrA, poxtA, cfr and cfr-like genes is increasingly detected in enterococci associated with animals and humans globally. We aimed to characterize the genetic environment of optrA in linezolid-resistant Enterococcus faecalis isolates from Scotland. Six linezolid-resistant E. faecalis isolated from urogenital samples were confirmed to carry the optrA gene by PCR. Short read (Illumina) sequencing showed the isolates were genetically distinct (>13900 core SNPs) and belonged to different MLST sequence types. Plasmid contents were examined using hybrid assembly of short and long read (Oxford Nanopore MinION) sequencing technologies. The optrA gene was located on distinct plasmids in each isolate, suggesting that transfer of a single plasmid did not contribute to optrA dissemination in this collection. pTM6294-2, BX5936-1 and pWE0438-1 were similar to optrA-positive plasmids from China and Japan, while the remaining three plasmids had limited similarity to other published examples. We identified the novel Tn6993 transposon in pWE0254-1 carrying linezolid (optrA), macrolide (ermB) and spectinomycin [ANT(9)-Ia] resistance genes. OptrA amino acid sequences differed by 0–20 residues. We report multiple variants of optrA on distinct plasmids in diverse strains of E. faecalis. It is important to identify the selection pressures driving the emergence and maintenance of resistance against linezolid to retain the clinical utility of this antibiotic.
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Affiliation(s)
- Martin P McHugh
- School of Medicine, University of St Andrews, St Andrews, UK.,NHS Lothian Infection Service, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Benjamin J Parcell
- School of Medicine, University of St Andrews, St Andrews, UK.,Medical Microbiology, Aberdeen Royal Infirmary, Aberdeen, UK.,Present address: Medical Microbiology, Ninewells Hospital, Dundee, UK
| | - Kerry A Pettigrew
- School of Medicine, University of St Andrews, St Andrews, UK.,Present address: School of Social and Behavioural Sciences, Erasmus University, Rotterdam, Netherlands
| | - Geoff Toner
- NHS Lothian Infection Service, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Elham Khatamzas
- NHS Lothian Infection Service, Royal Infirmary of Edinburgh, Edinburgh, UK.,Present address: Department of Medicine III, University Hospital, LMU Munich, Germany
| | - Noha El Sakka
- Medical Microbiology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Anne Marie Karcher
- Medical Microbiology, Aberdeen Royal Infirmary, Aberdeen, UK.,Present address: Medical Microbiology, Ninewells Hospital, Dundee, UK
| | - Joanna Walker
- Medical Microbiology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Robert Weir
- Medical Microbiology, Forth Valley Royal Hospital, Larbert, UK
| | - Danièle Meunier
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Katie L Hopkins
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Neil Woodford
- Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK
| | - Kate E Templeton
- NHS Lothian Infection Service, Royal Infirmary of Edinburgh, Edinburgh, UK
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Florensa AF, Kaas RS, Clausen PTLC, Aytan-Aktug D, Aarestrup FM. ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes. Microb Genom 2022; 8. [PMID: 35072601 PMCID: PMC8914360 DOI: 10.1099/mgen.0.000748] [Citation(s) in RCA: 131] [Impact Index Per Article: 65.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Antimicrobial resistance (AMR) is one of the most important health threats globally. The ability to accurately identify resistant bacterial isolates and the individual antimicrobial resistance genes (ARGs) is essential for understanding the evolution and emergence of AMR and to provide appropriate treatment. The rapid developments in next-generation sequencing technologies have made this technology available to researchers and microbiologists at routine laboratories around the world. However, tools available for those with limited experience with bioinformatics are lacking, especially to enable researchers and microbiologists in low- and middle-income countries (LMICs) to perform their own studies. The CGE-tools (Center for Genomic Epidemiology) including ResFinder (https://cge.cbs.dtu.dk/services/ResFinder/) was developed to provide freely available easy to use online bioinformatic tools allowing inexperienced researchers and microbiologists to perform simple bioinformatic analyses. The main purpose was and is to provide these solutions for people involved in frontline diagnosis especially in LMICs. Since its original publication in 2012, ResFinder has undergone a number of improvements including improvement of the code and databases, inclusion of point mutations for selected bacterial species and predictions of phenotypes also for selected species. As of 28 September 2021, 820 803 analyses have been performed using ResFinder from 61 776 IP-addresses in 171 countries. ResFinder clearly fulfills a need for several people around the globe and we hope to be able to continue to provide this service free of charge in the future. We also hope and expect to provide further improvements including phenotypic predictions for additional bacterial species.
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Affiliation(s)
| | - Rolf Sommer Kaas
- National Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark
| | | | - Derya Aytan-Aktug
- National Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark
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40
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Zhang C, Sun L, Wang D, Li Y, Zhang L, Wang L, Peng J. Advances in antimicrobial resistance testing. Adv Clin Chem 2022; 111:1-68. [DOI: 10.1016/bs.acc.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Revealing antimicrobial resistance profile of the novel probiotic candidate Faecalibacterium prausnitzii DSM 17677. Int J Food Microbiol 2021; 363:109501. [PMID: 34953344 DOI: 10.1016/j.ijfoodmicro.2021.109501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 11/22/2021] [Accepted: 12/07/2021] [Indexed: 12/22/2022]
Abstract
Faecalibacterium prausnitzii, a resident anaerobic bacterium commonly found in healthy gut microbiota, has been proposed as a next generation probiotic with high potential for application in food matrices and pharmaceutical formulations. Despite its recognized health benefits, detailed information regarding its antimicrobial susceptibility profile is still lacking. However, this information is crucial to determine its safety, since the absence of acquired antimicrobial resistance is required to qualify a probiotic candidate as safe for human and animal consumption. Herein, the antimicrobial susceptibility profile of F. prausnitzii DSM 17677 strain was evaluated by integrating both phenotypic and in silico data. Phenotypic antimicrobial susceptibility was evaluated by determining minimum inhibitory concentrations of 9 antimicrobials using broth microdilution and E-test® methods. Also, the whole genome of F. prausnitzii DSM 17677 was analysed, using several databases and bioinformatics tools, to identify possible antibiotic resistance genes (ARG), genomic islands (GI) and mobile genetic elements (MGE). With exception of erythromycin, the same classification (susceptible or resistant) was obtained in both broth microdilution and E-test® methods. Phenotypic resistance to ampicillin, gentamycin, kanamycin and streptomycin were detected, which was supported by the genomic context. Other ARG were also identified but they seem not to be expressed under the tested conditions. F. prausnitzii DSM 17677 genome contains 24 annotated genes putatively involved in resistance against the following classes of antimicrobials: aminoglycosides (such as gentamycin, kanamycin and streptomycin), macrolides (such as erythromycin), tetracyclines and lincosamides. The presence of putative ARG conferring resistance to β-lactams could only be detected using a broader homology search. The majority of these genes are not encoded within GI or MGE and no plasmids were reported for this strain. Despite the fact that most genes are related with general resistance mechanisms, a streptomycin-specific ARG poses the only potential concern identified. This specific ARG is encoded within a GI and a MGE, meaning that it could have been laterally acquired and might be transferred to other bacteria present in the same environment. Thus, our findings provide relevant insights regarding the phenotypic and genotypic antimicrobial resistance profiles of the probiotic candidate F. prausnitzii DSM 17677.
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Sia CM, Baines SL, Valcanis M, Lee DYJ, Gonçalves da Silva A, Ballard SA, Easton M, Seemann T, Howden BP, Ingle DJ, Williamson DA. Genomic diversity of antimicrobial resistance in non-typhoidal Salmonella in Victoria, Australia. Microb Genom 2021; 7:000725. [PMID: 34907895 PMCID: PMC8767345 DOI: 10.1099/mgen.0.000725] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/21/2021] [Indexed: 01/18/2023] Open
Abstract
Non-typhoidal Salmonella (NTS) is the second most common cause of foodborne bacterial gastroenteritis in Australia with antimicrobial resistance (AMR) increasing in recent years. Whole-genome sequencing (WGS) provides opportunities for in silico detection of AMR determinants. The objectives of this study were two-fold: (1) establish the utility of WGS analyses for inferring phenotypic resistance in NTS, and (2) explore clinically relevant genotypic AMR profiles to third generation cephalosporins (3GC) in NTS lineages. The concordance of 2490 NTS isolates with matched WGS and phenotypic susceptibility data against 13 clinically relevant antimicrobials was explored. In silico serovar prediction and typing was performed on assembled reads and interrogated for known AMR determinants. The surrounding genomic context, plasmid determinants and co-occurring AMR patterns were further investigated for multidrug resistant serovars harbouring bla CMY-2, bla CTX-M-55 or bla CTX-M-65. Our data demonstrated a high correlation between WGS and phenotypic susceptibility testing. Phenotypic-genotypic concordance was observed between 2440/2490 (98.0 %) isolates, with overall sensitivity and specificity rates >98 % and positive and negative predictive values >97 %. The most common AMR determinants were bla TEM-1, sul2 , tet (A), strA-strB and floR . Phenotypic resistance to cefotaxime and azithromycin was low and observed in 6.2 % (151/2486) and 0.9 % (16/1834) of the isolates, respectively. Several multi-drug resistant NTS lineages were resistant to 3GC due to different genetic mechanisms including bla CMY-2, bla CTX-M-55 or bla CTX-M-65. This study shows WGS can enhance existing AMR surveillance in NTS datasets routinely produced in public health laboratories to identify emerging AMR in NTS. These approaches will be critical for developing capacity to detect emerging public health threats such as resistance to 3GC.
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Affiliation(s)
- Cheryll M. Sia
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Sarah L. Baines
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Mary Valcanis
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Darren Y. J. Lee
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Anders Gonçalves da Silva
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Susan A. Ballard
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | | | - Torsten Seemann
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Benjamin P. Howden
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Danielle J. Ingle
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia
| | - Deborah A. Williamson
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology, Royal Melbourne Hospital, Melbourne, Australia
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Atlaw NA, Keelara S, Correa M, Foster D, Gebreyes W, Aidara-Kane A, Harden L, Thakur S, Cray PJF. Identification of CTX-M Type ESBL E. coli from Sheep and Their Abattoir Environment Using Whole-Genome Sequencing. Pathogens 2021; 10:1480. [PMID: 34832635 PMCID: PMC8618867 DOI: 10.3390/pathogens10111480] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 11/17/2022] Open
Abstract
Widespread dissemination of extended-spectrum beta-lactamase (ESBL) Escherichia coli (E. coli) in animals, retail meats, and patients has been reported worldwide except for limited information on small ruminants. Our study focused on the genotypic characterization of ESBL E. coli from healthy sheep and their abattoir environment in North Carolina, USA. A total of 113 ESBL E. coli isolates from sheep (n = 65) and their abattoir environment (n = 48) were subjected to whole-genome sequencing (WGS). Bioinformatics tools were used to analyze the WGS data. Multiple CTX-M-type beta-lactamase genes were detected, namely blaCTX-M-1, blaCTX-M-14, blaCTX-M-15, blaCTX-M-27, blaCTX-M-32, blaCTX-M-55, and blaCTX-M-65. Other beta-lactamase genes detected included blaCMY-2, blaTEM-1A/B/C, and blaCARB-2. In addition, antimicrobial resistance (AMR) genes and/or point mutations that confer resistance to quinolones, aminoglycosides, phenicols, tetracyclines, macrolides, lincosamides, and folate-pathway antagonists were identified. The majority of the detected plasmids were shared between isolates from sheep and the abattoir environment. Sequence types were more clustered around seasonal sampling but dispersed across sample types. In conclusion, our study reported wide dissemination of ESBL E. coli in sheep and the abattoir environment and associated AMR genes, point mutations, and plasmids. This is the first comprehensive AMR and WGS report on ESBL E. coli from sheep and abattoir environments in the United States.
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Affiliation(s)
- Nigatu Aklilu Atlaw
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Shivaramu Keelara
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Maria Correa
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Derek Foster
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Wondwossen Gebreyes
- Department of Veterinary Preventive Medicine, The Ohio State University, 1920 Coffey Rd., Columbus, OH 43210, USA;
| | - Awa Aidara-Kane
- Department Food Safety and Zoonoses, Foodborne Diseases, World Health Organization, 1202 Geneva, Switzerland;
| | - Lyndy Harden
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Siddhartha Thakur
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
| | - Paula J. Fedorka Cray
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA; (N.A.A.); (S.K.); (M.C.); (D.F.); (L.H.); (S.T.)
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Ma T, McAllister TA, Guan LL. A review of the resistome within the digestive tract of livestock. J Anim Sci Biotechnol 2021; 12:121. [PMID: 34763729 PMCID: PMC8588621 DOI: 10.1186/s40104-021-00643-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/07/2021] [Indexed: 12/25/2022] Open
Abstract
Antimicrobials have been widely used to prevent and treat infectious diseases and promote growth in food-production animals. However, the occurrence of antimicrobial resistance poses a huge threat to public and animal health, especially in less developed countries where food-producing animals often intermingle with humans. To limit the spread of antimicrobial resistance from food-production animals to humans and the environment, it is essential to have a comprehensive knowledge of the role of the resistome in antimicrobial resistance (AMR), The resistome refers to the collection of all antimicrobial resistance genes associated with microbiota in a given environment. The dense microbiota in the digestive tract is known to harbour one of the most diverse resistomes in nature. Studies of the resistome in the digestive tract of humans and animals are increasing exponentially as a result of advancements in next-generation sequencing and the expansion of bioinformatic resources/tools to identify and describe the resistome. In this review, we outline the various tools/bioinformatic pipelines currently available to characterize and understand the nature of the intestinal resistome of swine, poultry, and ruminants. We then propose future research directions including analysis of resistome using long-read sequencing, investigation in the role of mobile genetic elements in the expression, function and transmission of AMR. This review outlines the current knowledge and approaches to studying the resistome in food-producing animals and sheds light on future strategies to reduce antimicrobial usage and control the spread of AMR both within and from livestock production systems.
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Affiliation(s)
- Tao Ma
- Key laboratory of Feed Biotechnology of the Ministry of Agriculture, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.,Department of Agricultural, Food and Nutritional Science, University of Alberta, T6G2P5, Edmonton, AB, Canada
| | - Tim A McAllister
- Lethbridge Research and Development Centre, Lethbridge, AB, T1J 4P4, Canada
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, T6G2P5, Edmonton, AB, Canada.
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Bombaywala S, Purohit HJ, Dafale NA. Mobility of antibiotic resistance and its co-occurrence with metal resistance in pathogens under oxidative stress. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 297:113315. [PMID: 34298350 DOI: 10.1016/j.jenvman.2021.113315] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 07/08/2021] [Accepted: 07/16/2021] [Indexed: 06/13/2023]
Abstract
The bacterial communities are challenged with oxidative stress during their exposure to bactericidal antibiotics, metals, and different levels of dissolved oxygen (DO) encountered in diverse environmental habitats. The frequency of antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) co-selection is increased by selective pressure posed by oxidative stress. Hence, study of resistance acquisition is important from an evolutionary perspective. To understand the dependence of oxidative stress on the dissemination of ARGs and MRGs through a pathogenic bacterial population, 12 metagenomes belonging to gut, water and soil habitats were evaluated. The metagenome-wide analysis showed the chicken gut to pose the most diverse pool of ARGs (30.4 ppm) and pathogenic bacteria (Simpson diversity = 0.98). The most common types of resistances found in all the environmental samples were efflux pumps (13.22 ppm) and genes conferring resistance to vancomycin (12.4 ppm), tetracycline (12.1 ppm), or beta-lactam (9.4 ppm) antibiotics. Additionally, limiting DO level in soil was observed to increase the abundance of excision nucleases (uvrA and uvrB), DNA polymerase (polA), catalases (katG), and other oxidative stress response genes (OSGs). This was further evident from major variations occurred in antibiotic efflux genes due to the effect of DO concentration on two human pathogens, namely Salmonella enterica and Shigella sonnei found in all the selected habitats. In conclusion, the microbial community, when challenged with oxidative stress caused by environmental variations in oxygen level, tends to accumulate higher amounts of ARGs with increased dissemination potential through triggering non-lethal mutagenesis. Furthermore, the genetic linkage or co-occurrence of ARGs and MRGs provides evidence for selecting ARGs under high concentrations of heavy metals.
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Affiliation(s)
- Sakina Bombaywala
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur, 4400 20, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Hemant J Purohit
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur, 4400 20, India
| | - Nishant A Dafale
- Environmental Biotechnology & Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nehru Marg, Nagpur, 4400 20, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Antibiotic Susceptibility Profiles and Frequency of Resistance Genes in Clinical Shiga Toxin-Producing Escherichia coli Isolates from Michigan over a 14-Year Period. Antimicrob Agents Chemother 2021; 65:e0118921. [PMID: 34424041 DOI: 10.1128/aac.01189-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Shiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen that contributes to over 250,000 infections in the United States each year. Because antibiotics are not recommended for STEC infections, resistance in STEC has not been widely researched despite an increased likelihood for the transfer of resistance genes from STEC to opportunistic pathogens residing within the same microbial community. From 2001 to 2014, 969 STEC isolates were collected from Michigan patients. Antibiotic susceptibility profiles to clinically relevant antibiotics were determined using disc diffusion, while epidemiological data were used to identify factors associated with resistance. Whole-genome sequencing was used for serotyping, examining genetic relatedness, and identifying genetic determinants and mechanisms of resistance in the non-O157 isolates. Increasing frequencies of resistance to at least one antibiotic were observed over the 14 years (P = 0.01). While the non-O157 serogroups were more commonly resistant than O157 (odds ratio, 2.4; 95% confidence interval,1.43 to 4.05), the frequency of ampicillin resistance among O157 isolates was significantly higher in Michigan than the national average (P = 0.03). Genomic analysis of 321 non-O157 isolates uncovered 32 distinct antibiotic resistance genes (ARGs). Although mutations in genes encoding resistance to ciprofloxacin and ampicillin were detected in four isolates, most of the horizontally acquired ARGs conferred resistance to aminoglycosides, β-lactams, sulfonamides, and/or tetracycline. This study provides insight into the mechanisms of resistance in a large collection of clinical non-O157 STEC isolates and demonstrates that antibiotic resistance among all STEC serogroups has increased over time, prompting the need for enhanced surveillance.
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Zhang K, Ge H, He J, Hu M, Xu Z, Jiao X, Chen X. Salmonella Typhimurium ST34 Isolate Was More Resistant than the ST19 Isolate in China, 2007 - 2019. Foodborne Pathog Dis 2021; 19:62-69. [PMID: 34520252 DOI: 10.1089/fpd.2021.0047] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
To disclose the antimicrobial susceptibility and wide adaptability of commonly occurring genotypes of Salmonella enterica serovar Typhimurium, the antimicrobial resistance and multilocus sequence typing (MLST) profiles of 196 Salmonella Typhimurium isolates (136 from food-producing animals, 19 from environments, 15 from markets, and 26 from humans) in China between 2007 and 2019 were analyzed. Tests of susceptibility to 19 antimicrobial agents using the broth microdilution method showed that 84.7% of the isolates were resistant to at least one antimicrobial. Antimicrobial susceptibility analysis demonstrated that 66.8% of the isolates were multidrug-resistant (MDR) strains, with resistance to three or more antimicrobials. The highest antidrug resistance was to ampicillin, amoxicillin/clavulanic acid, and tetracycline. Three MLST types were detected, and sequence type (ST) 19 was the most common ST. However, ST34 was associated with a higher MDR rate and more complex MDR patterns, than ST19 and ST99, although the exact mechanism has not been reported. Our study highlights the variation of drug resistance and STs from different sources and the association between STs and drug resistance, providing useful information for epidemiological research and developing a public health strategy.
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Affiliation(s)
- Kai Zhang
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Haojie Ge
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Jingjing He
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Maozhi Hu
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Zhengzhong Xu
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Xin'an Jiao
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Xiang Chen
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality of Ministry of Agriculture and Rural Affairs, Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
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Gogry FA, Siddiqui MT, Sultan I, Haq QMR. Current Update on Intrinsic and Acquired Colistin Resistance Mechanisms in Bacteria. Front Med (Lausanne) 2021; 8:677720. [PMID: 34476235 PMCID: PMC8406936 DOI: 10.3389/fmed.2021.677720] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/09/2021] [Indexed: 01/07/2023] Open
Abstract
Colistin regained global interest as a consequence of the rising prevalence of multidrug-resistant Gram-negative Enterobacteriaceae. In parallel, colistin-resistant bacteria emerged in response to the unregulated use of this antibiotic. However, some Gram-negative species are intrinsically resistant to colistin activity, such as Neisseria meningitides, Burkholderia species, and Proteus mirabilis. Most identified colistin resistance usually involves modulation of lipid A that decreases or removes early charge-based interaction with colistin through up-regulation of multistep capsular polysaccharide expression. The membrane modifications occur by the addition of cationic phosphoethanolamine (pEtN) or 4-amino-l-arabinose on lipid A that results in decrease in the negative charge on the bacterial surface. Therefore, electrostatic interaction between polycationic colistin and lipopolysaccharide (LPS) is halted. It has been reported that these modifications on the bacterial surface occur due to overexpression of chromosomally mediated two-component system genes (PmrAB and PhoPQ) and mutation in lipid A biosynthesis genes that result in loss of the ability to produce lipid A and consequently LPS chain, thereafter recently identified variants of plasmid-borne genes (mcr-1 to mcr-10). It was hypothesized that mcr genes derived from intrinsically resistant environmental bacteria that carried chromosomal pmrC gene, a part of the pmrCAB operon, code three proteins viz. pEtN response regulator PmrA, sensor kinase protein PmrAB, and phosphotransferase PmrC. These plasmid-borne mcr genes become a serious concern as they assist in the dissemination of colistin resistance to other pathogenic bacteria. This review presents the progress of multiple strategies of colistin resistance mechanisms in bacteria, mainly focusing on surface changes of the outer membrane LPS structure and other resistance genetic determinants. New handier and versatile methods have been discussed for rapid detection of colistin resistance determinants and the latest approaches to revert colistin resistance that include the use of new drugs, drug combinations and inhibitors. Indeed, more investigations are required to identify the exact role of different colistin resistance determinants that will aid in developing new less toxic and potent drugs to treat bacterial infections. Therefore, colistin resistance should be considered a severe medical issue requiring multisectoral research with proper surveillance and suitable monitoring systems to report the dissemination rate of these resistant genes.
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Affiliation(s)
| | | | - Insha Sultan
- Department of Biosciences, Jamia Millia Islamia, New Delhi, India
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Biggel M, Nüesch-Inderbinen M, Raschle S, Stevens MJA, Stephan R. Spread of vancomycin-resistant Enterococcus faecium ST133 in the aquatic environment in Switzerland. J Glob Antimicrob Resist 2021; 27:31-36. [PMID: 34428595 DOI: 10.1016/j.jgar.2021.08.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 08/09/2021] [Accepted: 08/16/2021] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVES The global dissemination of vancomycin-resistant enterococci (VRE) has become a serious public-health concern. Although outbreaks are typically caused by nosocomial transmission, contaminated food and water may contribute to the spread of VRE. The aim of this study was to assess the presence of VRE in flowing surface water bodies in Switzerland and to characterise the isolates. METHODS Surface water was sampled from rivers, streams and canals throughout Switzerland and was screened for the presence of VRE. Whole-genome sequencing was used to identify antimicrobial resistance genes and the phylogenetic similarity of the obtained isolates. RESULTS VRE were detected in 6 (3.1%) of 191 water samples. The six VRE-containing samples were all collected near treated wastewater discharge sites. The six isolates were identified as Enterococcus faecium sequence type 133 (ST133) and harboured the vancomycin resistance-conferring vanA gene cluster on transposon Tn1546. They showed a close phylogenetic relationship to ST133 swine faecal isolates obtained during a previously reported screening in Switzerland. CONCLUSION Our results suggest that surface water contributes to the environmental dissemination of VRE. Repeated identification of ST133 clones in geographically distinct water sampling sites and swine faecal samples collected in slaughterhouses may indicate a local dominance of this VRE lineage in Switzerland.
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Affiliation(s)
- Michael Biggel
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland
| | - Magdalena Nüesch-Inderbinen
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland; Swiss National Center for Enteropathogenic Bacteria and Listeria (NENT), University of Zurich, Winterthurerstrasse 272, 8057 Zurich, Switzerland
| | - Susanne Raschle
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland
| | - Marc J A Stevens
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland
| | - Roger Stephan
- Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland.
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50
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Golden AR, Karlowsky JA, Walkty A, Baxter MR, Denisuik AJ, McCracken M, Mulvey MR, Adam HJ, Bay D, Zhanel GG. Comparison of phenotypic antimicrobial susceptibility testing results and WGS-derived genotypic resistance profiles for a cohort of ESBL-producing Escherichia coli collected from Canadian hospitals: CANWARD 2007-18. J Antimicrob Chemother 2021; 76:2825-2832. [PMID: 34378044 DOI: 10.1093/jac/dkab268] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/05/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To determine whether the genotypic resistance profile inferred from WGS could accurately predict phenotypic resistance for ESBL-producing Escherichia coli isolated from patient samples in Canadian hospital laboratories. METHODS As part of the ongoing CANWARD study, 671 E. coli were collected and phenotypically confirmed as ESBL producers using CLSI M100 disc testing criteria. Isolates were sequenced using the Illumina MiSeq platform, resulting in 636 high-quality genomes for comparison. Using a rules-based approach, the genotypic resistance profile was compared with the phenotypic resistance interpretation generated using the CLSI broth microdilution method for ceftriaxone, ciprofloxacin, gentamicin and trimethoprim/sulfamethoxazole. RESULTS The most common genes associated with non-susceptibility to ceftriaxone, gentamicin and trimethoprim/sulfamethoxazole were CTX-M-15 (n = 391), aac(3)-IIa + aac(6')-Ib-cr (n = 121) and dfrA17 + sul1 (n = 169), respectively. Ciprofloxacin non-susceptibility was most commonly attributed to alterations in both gyrA (S83L + D87N) and parC (S80I + E84V), with (n = 187) or without (n = 197) aac(6')-Ib-cr. Categorical agreement (susceptible or non-susceptible) between actual and predicted phenotype was 95.6%, 98.9%, 97.6% and 88.8% for ceftriaxone, ciprofloxacin, gentamicin and trimethoprim/sulfamethoxazole, respectively. Only ciprofloxacin results (susceptible or non-susceptible) were predicted with major error (ME) and very major error (VME) rates of <3%: ciprofloxacin (ME, 1.5%; VME, 1.1%); gentamicin (ME, 0.8%-31.7%; VME, 4.8%); ceftriaxone (ME, 81.8%; VME, 3.0%); and trimethoprim/sulfamethoxazole (ME, 0.9%-23.0%; VME, 5.2%-8.5%). CONCLUSIONS Our rules-based approach for predicting a resistance phenotype from WGS performed well for ciprofloxacin, with categorical agreement of 98.9%, an ME rate of 1.5% and a VME rate of 1.1%. Although high categorical agreements were also obtained for gentamicin, ceftriaxone and trimethoprim/sulfamethoxazole, ME and/or VME rates were ≥3%.
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Affiliation(s)
- Alyssa R Golden
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - James A Karlowsky
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.,Department of Clinical Microbiology, Shared Health Manitoba, MS673-820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9, Canada
| | - Andrew Walkty
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.,Department of Clinical Microbiology, Shared Health Manitoba, MS673-820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9, Canada
| | - Melanie R Baxter
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - Andrew J Denisuik
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - Melissa McCracken
- National Microbiology Laboratory-Public Health Agency of Canada, 1015 Arlington Street, Winnipeg, Manitoba R3E 3R2 Canada
| | - Michael R Mulvey
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.,National Microbiology Laboratory-Public Health Agency of Canada, 1015 Arlington Street, Winnipeg, Manitoba R3E 3R2 Canada
| | - Heather J Adam
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.,Department of Clinical Microbiology, Shared Health Manitoba, MS673-820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9, Canada
| | - Denice Bay
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - George G Zhanel
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
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