Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/31941
Title: An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance.
Austin Authors: Sherry, Norelle L ;Horan, Kristy A;Ballard, Susan A;Gonҫalves da Silva, Anders;Gorrie, Claire L;Schultz, Mark B;Stevens, Kerrie;Valcanis, Mary;Sait, Michelle L;Stinear, Timothy P;Howden, Benjamin P ;Seemann, Torsten
Affiliation: Microbiological Diagnostic Unit Public Health Laboratory (MDU-PHL), Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia.
Infectious Diseases
Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.
Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.
Issue Date: 4-Jan-2023
Date: 2023
Publication information: Nature Communications 2023; 14(1): 60
Abstract: Realising the promise of genomics to revolutionise identification and surveillance of antimicrobial resistance (AMR) has been a long-standing challenge in clinical and public health microbiology. Here, we report the creation and validation of abritAMR, an ISO-certified bioinformatics platform for genomics-based bacterial AMR gene detection. The abritAMR platform utilises NCBI's AMRFinderPlus, as well as additional features that classify AMR determinants into antibiotic classes and provide customised reports. We validate abritAMR by comparing with PCR or reference genomes, representing 1500 different bacteria and 415 resistance alleles. In these analyses, abritAMR displays 99.9% accuracy, 97.9% sensitivity and 100% specificity. We also compared genomic predictions of phenotype for 864 Salmonella spp. against agar dilution results, showing 98.9% accuracy. The implementation of abritAMR in our institution has resulted in streamlined bioinformatics and reporting pathways, and has been readily updated and re-verified. The abritAMR tool and validation datasets are publicly available to assist laboratories everywhere harness the power of AMR genomics in professional practice.
URI: https://ahro.austin.org.au/austinjspui/handle/1/31941
DOI: 10.1038/s41467-022-35713-4
ORCID: 0000-0002-7789-8360
0000-0002-0096-9474
0000-0002-2637-2529
0000-0002-7689-6531
0000-0003-0150-123X
0000-0003-0237-1473
0000-0001-6046-610X
Journal: Nature Communications
Start page: 60
PubMed URL: 36599823
ISSN: 2041-1723
Type: Journal Article
Subjects: Anti-Bacterial Agents/pharmacology
Drug Resistance, Bacterial/genetics
Appears in Collections:Journal articles

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