Genomic surveillance of multidrug-resistant organisms based on long-read sequencing

We demonstrate that molecular characterization of automatically extracted DNA followed by long-read sequencing is as accurate compared to short-read sequencing and suitable for typing and outbreak analysis as part of genomic surveillance of MDRO. However, the analysis of P. aeruginosa requires further improvement which may be obtained by other basecalling algorithms. The low implementation costs and rapid library preparation for long-read sequencing of MDRO extends its applicability to resource-constrained settings and low-income countries worldwide.

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Publication Details

Journal
Genome Medicine
Published
2024-11-25
DOI
https://doi.org/10.1186/s13073-024-01412-6
Citations
29
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
4.94

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Genomic surveillance of multidrug-resistant organisms based on long-read sequencing

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Genomic surveillance of multidrug-resistant organisms based on long-read sequencing

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article en
29 citations

Abstract

We demonstrate that molecular characterization of automatically extracted DNA followed by long-read sequencing is as accurate compared to short-read sequencing and suitable for typing and outbreak analysis as part of genomic surveillance of MDRO. However, the analysis of P. aeruginosa requires further improvement which may be obtained by other basecalling algorithms. The low implementation costs and rapid library preparation for long-read sequencing of MDRO extends its applicability to resource-constrained settings and low-income countries worldwide.

Genome MedicineVol. 16(1)
National Institute for Public Health and the Environment (NL)
Oxford Nanopore Technologies, Ministerie van Volksgezondheid, Welzijn en Sport, Rijksinstituut voor Volksgezondheid en Milieu
Zero hunger
Openalex Percentile: Top 3%
Antibiotic Resistance in Bacteria
4.94
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