Standardization of 16S rRNA gene sequencing using nanopore long read sequencing technology for clinical diagnosis of culture negative infections

The integration of long-read sequencing technology, such as nanopore sequencing technology [Oxford Nanopore Technologies (ONT)], into routine diagnostic laboratories has the potential to transform bacterial infection diagnostics and improve patient management. Analysis of amplicons from long-read sequencing of the 16S rRNA gene generates a comprehensive view of the microbial community within clinical samples, significantly enhancing sensitivity and capacity to analyse mixed bacterial populations compared to short read sequencing approaches. This study evaluates various ONT sequencing approaches and library preparation kits to establish a reliable testing and quality framework for clinical implementation. This study highlights the critical importance of using well-characterized reference materials in validating and revalidating long-read sequencing methods, leveraging a combination of standardized reference materials and clinical samples to navigate the evolving landscape of microbial diagnostics. It presents a robust validation framework for laboratory accreditation and outlines a methodology for comparing the performance of newer ONT chemistries with earlier versions. Additionally, the study details the methods and quality control measures necessary for achieving more accurate and efficient diagnoses of bacterial infections, ultimately reducing time to treatment and enhancing patient outcomes.

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Institutions

Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-03-06
DOI
https://doi.org/10.3389/fcimb.2025.1517208
Citations
12
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
15.82

Funders

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article

Standardization of 16S rRNA gene sequencing using nanopore long read sequencing technology for clinical diagnosis of culture negative infections

Kathryn Harris, Denise M. O’Sullivan, Ian Butler, Daniel M. Evans et al.
12 citations
Frontiers in Cellular and Infection Microbiology
Bacterial Identification and Susceptibility Testing
15.82
article

Standardization of 16S rRNA gene sequencing using nanopore long read sequencing technology for clinical diagnosis of culture negative infections

Kathryn Harris, Denise M. O’Sullivan, Ian Butler, Daniel M. Evans, Jonathan Lambourne, Konto Mohammed, Chrysi Sergaki, Olivia Turner, Muhammad Nauman Akhtar
article en
12 citations

Abstract

The integration of long-read sequencing technology, such as nanopore sequencing technology [Oxford Nanopore Technologies (ONT)], into routine diagnostic laboratories has the potential to transform bacterial infection diagnostics and improve patient management. Analysis of amplicons from long-read sequencing of the 16S rRNA gene generates a comprehensive view of the microbial community within clinical samples, significantly enhancing sensitivity and capacity to analyse mixed bacterial populations compared to short read sequencing approaches. This study evaluates various ONT sequencing approaches and library preparation kits to establish a reliable testing and quality framework for clinical implementation. This study highlights the critical importance of using well-characterized reference materials in validating and revalidating long-read sequencing methods, leveraging a combination of standardized reference materials and clinical samples to navigate the evolving landscape of microbial diagnostics. It presents a robust validation framework for laboratory accreditation and outlines a methodology for comparing the performance of newer ONT chemistries with earlier versions. Additionally, the study details the methods and quality control measures necessary for achieving more accurate and efficient diagnoses of bacterial infections, ultimately reducing time to treatment and enhancing patient outcomes.

Frontiers in Cellular and Infection MicrobiologyVol. 15
National Health Service (GB), National Physical Laboratory (GB), Barts Health NHS Trust (GB), Government of the United States of America (US), East London NHS Foundation Trust (GB), University of Surrey (GB), University of Manchester (GB)
National Institute for Health and Care Research
Openalex Percentile: Top 1%
Bacterial Identification and Susceptibility Testing
15.82
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