The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genotyping using whole-genome sequencing is a realistic alternative to surveillance based on phenotypic antimicrobial susceptibility testing
Abstract
OBJECTIVES: Antimicrobial susceptibility testing of bacterial isolates is essential for clinical diagnosis, to detect emerging problems and to guide empirical treatment. Current phenotypic procedures are sometimes associated with mistakes and may require further genetic testing. Whole-genome sequencing (WGS) may soon be within reach even for routine surveillance and clinical diagnostics. The aim of this study was to evaluate WGS as a routine tool for surveillance of antimicrobial resistance compared with current phenotypic procedures. METHODS: Antimicrobial susceptibility tests were performed on 200 isolates originating from Danish pigs, covering four bacterial species. Genomic DNA was purified from all isolates and sequenced as paired-end reads on the Illumina platform. The web servers ResFinder and MLST (www.genomicepidemiology.org) were used to identify acquired antimicrobial resistance genes and MLST types (where MLST stands for multilocus sequence typing). ResFinder results were compared with phenotypic antimicrobial susceptibility testing results using EUCAST epidemiological cut-off values and MLST types. RESULTS: A total of 3051 different phenotypic tests were performed; 482 led to the categorizing of isolates as resistant and 2569 as susceptible. Seven cases of disagreement between tested and predicted susceptibility were observed, six of which were related to spectinomycin resistance in Escherichia coli. Correlation between MLST type and resistance profiles was only observed in Salmonella Typhimurium, where isolates belonging to sequence type (ST) 34 were more resistant than ST19 isolates. CONCLUSIONS: High concordance (99.74%) between phenotypic and predicted antimicrobial susceptibility was observed. Thus, antimicrobial resistance testing based on WGS is an alternative to conventional phenotypic methods.
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Cites
Identification of acquired antimicrobial resistance genes
Zankari, E., Hasman, H., Cosentino, S., Vestergaard, M., Rasmussen, S., Lund, O., Aarestrup, F. M., & Larsen, M. V. (2012) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dks261 · Cited by 4,980
Self-citationSingh, K. V., Weinstock, G. M., & Murray, B. E. (2002) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.46.6.1845-1850.2002 · Cited by 263
Cited by
Carattoli, A., Zankari, E., García-Fernández, A., Voldby Larsen, M., Lund, O., Villa, L., Møller Aarestrup, F., & Hasman, H. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.02412-14 · Cited by 4,877
Self-citationResFinder 4.0 for predictions of phenotypes from genotypes
Bortolaia, V., Kaas, R. S., Ruppe, E., Roberts, M. C., Schwarz, S., Cattoir, V., Philippon, A., Allesoe, R. L., Rebelo, A. R., Florensa, A. F., et al. (2020) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkaa345 · Cited by 3,373
Self-citationARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes
Gupta, S. K., Padmanabhan, B. R., Diene, S. M., Lopez-Rojas, R., Kempf, M., Landraud, L., & Rolain, J.-M. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01310-13 · Cited by 1,476
Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms
Kaas, R. S., Leekitcharoenphon, P., Aarestrup, F. M., & Lund, O. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104984 · Cited by 931
Self-citationZankari, E., Allesøe, R., Joensen, K. G., Cavaco, L. M., Lund, O., & Aarestrup, F. M. (2017) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkx217 · Cited by 783
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Metadata
- Authors
- Zankari, E., Hasman, H., Kaas, R. S., Seyfarth, A. M., Agerso, Y., Lund, O., Larsen, M. V., & Aarestrup, F. M.
- Venue
- Journal of Antimicrobial Chemotherapy
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-11
- Volume
- 68
- Issue
- 4
- Pages
- 771-777
- ISSN
- 0305-7453 (ISSN-L)
- 1460-2091
- OpenAlex
- W2128908920
- Cited by
- 325
- References
- 2
- FWCI
- 5.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zankari, E., Hasman, H., Kaas, R. S., Seyfarth, A. M., Agerso, Y., Lund, O., Larsen, M. V., & Aarestrup, F. M. (2013). Genotyping using whole-genome sequencing is a realistic alternative to surveillance based on phenotypic antimicrobial susceptibility testing. Journal of Antimicrobial Chemotherapy. https://doi.org/10.1093/jac/dks496
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