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An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance

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 ge...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813266/
https://www.ncbi.nlm.nih.gov/pubmed/36599823
http://dx.doi.org/10.1038/s41467-022-35713-4
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author 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
author_facet 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
author_sort Sherry, Norelle L.
collection PubMed
description 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.
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spelling pubmed-98132662023-01-06 An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance 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 Nat Commun Article 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. Nature Publishing Group UK 2023-01-04 /pmc/articles/PMC9813266/ /pubmed/36599823 http://dx.doi.org/10.1038/s41467-022-35713-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title_full An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title_fullStr An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title_full_unstemmed An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title_short An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance
title_sort iso-certified genomics workflow for identification and surveillance of antimicrobial resistance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813266/
https://www.ncbi.nlm.nih.gov/pubmed/36599823
http://dx.doi.org/10.1038/s41467-022-35713-4
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