Research project

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

Programme
HSST
Specialty
Microbiology
Project published
06/03/2025

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-characterised reference materials in validating and revalidating long-read sequencing methods, leveraging a combination of standardised 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.

Outputs

https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2025.1517208/full

https://www.theguardian.com/society/2025/mar/06/uk-scientists-develop-dna-sequencing-system-to-fight-superbugs

https://www.gov.uk/government/news/new-study-shows-mhra-collaboration-with-hospital-dna-sequencing-service-cuts-time-to-diagnose-infectionshttps://www.medscape.com/viewarticle/new-dna-test-speeds-bacterial-infection-diagnosis-2025a10005t4

Last updated on 2nd December 2025