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Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates

INTRODUCTION: Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the...

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Autores principales: Rose, Rebecca, Nolan, David J., Ashcraft, Deborah, Feehan, Amy K., Velez-Climent, Leonor, Huston, Christopher, Lain, Benjamin, Rosenthal, Simon, Miele, Lucio, Fogel, Gary B., Pankey, George, Garcia-Diaz, Julia, Lamers, Susanna L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436404/
https://www.ncbi.nlm.nih.gov/pubmed/37596530
http://dx.doi.org/10.1186/s12866-023-02975-x
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author Rose, Rebecca
Nolan, David J.
Ashcraft, Deborah
Feehan, Amy K.
Velez-Climent, Leonor
Huston, Christopher
Lain, Benjamin
Rosenthal, Simon
Miele, Lucio
Fogel, Gary B.
Pankey, George
Garcia-Diaz, Julia
Lamers, Susanna L.
author_facet Rose, Rebecca
Nolan, David J.
Ashcraft, Deborah
Feehan, Amy K.
Velez-Climent, Leonor
Huston, Christopher
Lain, Benjamin
Rosenthal, Simon
Miele, Lucio
Fogel, Gary B.
Pankey, George
Garcia-Diaz, Julia
Lamers, Susanna L.
author_sort Rose, Rebecca
collection PubMed
description INTRODUCTION: Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, including two carbapenems (meropenem and ertapenem) and four non-carbapenems (gentamicin, ciprofloxacin, cefepime, and trimethoprim/sulfamethoxazole). We generated short-read data using the Illumina NextSeq and long-read data using the ONT MinION. Four assembly methods were compared: ONT-only assembly; ONT-only assembly plus short-read polish; ONT + short-read hybrid assembly plus short-read polish; short-read only assembly. RESULTS: Consistent with previous studies, our results suggest that the hybrid assembly produced the highest quality results as measured by gene completeness and contig circularization. However, ONT-only methods had minimal impact on the detection of AMR genes and plasmids compared to short-read methods, although, notably, differences in gene copy number differed between methods. All four assembly methods showed identical presence/absence of the blaKPC-2 carbapenemase gene for all samples. The two phenotype assays showed 100% concordant results for the non-carbapenems, but only 65% concordance for the two carbapenems. The presence/absence of AMR genes was 100% concordant with AMR phenotypes for all four non-carbapenem drugs, although only 22%—50% sensitivity for the carbapenems. CONCLUSIONS: Overall, these findings suggest that the lack of complete correspondence between CRE AMR genotype and phenotype for carbapenems, while concerning, is independent of sequencing platform/assembly method. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-02975-x.
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spelling pubmed-104364042023-08-19 Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates Rose, Rebecca Nolan, David J. Ashcraft, Deborah Feehan, Amy K. Velez-Climent, Leonor Huston, Christopher Lain, Benjamin Rosenthal, Simon Miele, Lucio Fogel, Gary B. Pankey, George Garcia-Diaz, Julia Lamers, Susanna L. BMC Microbiol Research INTRODUCTION: Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, including two carbapenems (meropenem and ertapenem) and four non-carbapenems (gentamicin, ciprofloxacin, cefepime, and trimethoprim/sulfamethoxazole). We generated short-read data using the Illumina NextSeq and long-read data using the ONT MinION. Four assembly methods were compared: ONT-only assembly; ONT-only assembly plus short-read polish; ONT + short-read hybrid assembly plus short-read polish; short-read only assembly. RESULTS: Consistent with previous studies, our results suggest that the hybrid assembly produced the highest quality results as measured by gene completeness and contig circularization. However, ONT-only methods had minimal impact on the detection of AMR genes and plasmids compared to short-read methods, although, notably, differences in gene copy number differed between methods. All four assembly methods showed identical presence/absence of the blaKPC-2 carbapenemase gene for all samples. The two phenotype assays showed 100% concordant results for the non-carbapenems, but only 65% concordance for the two carbapenems. The presence/absence of AMR genes was 100% concordant with AMR phenotypes for all four non-carbapenem drugs, although only 22%—50% sensitivity for the carbapenems. CONCLUSIONS: Overall, these findings suggest that the lack of complete correspondence between CRE AMR genotype and phenotype for carbapenems, while concerning, is independent of sequencing platform/assembly method. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-023-02975-x. BioMed Central 2023-08-18 /pmc/articles/PMC10436404/ /pubmed/37596530 http://dx.doi.org/10.1186/s12866-023-02975-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rose, Rebecca
Nolan, David J.
Ashcraft, Deborah
Feehan, Amy K.
Velez-Climent, Leonor
Huston, Christopher
Lain, Benjamin
Rosenthal, Simon
Miele, Lucio
Fogel, Gary B.
Pankey, George
Garcia-Diaz, Julia
Lamers, Susanna L.
Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title_full Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title_fullStr Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title_full_unstemmed Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title_short Comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for Enterobacterales clinical isolates
title_sort comparing antimicrobial resistant genes and phenotypes across multiple sequencing platforms and assays for enterobacterales clinical isolates
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436404/
https://www.ncbi.nlm.nih.gov/pubmed/37596530
http://dx.doi.org/10.1186/s12866-023-02975-x
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