Nanopore sequencing in infectious disease diagnostics and surveillance

The global burden of infectious disease is on the rise, driven by antibiotic resistance, emerging pathogens, and gaps in accessible, decentralized diagnostics. To address these demands, there is a need for the development of diagnostic platforms for detection, surveillance, or monitoring assays with quick turnaround times. Oxford Nanopore sequencing, a platform for real-time long-read third-generation sequencing, has emerged as a promising tool in this space, with the ability to detect a wide range of molecular targets, including DNA, RNA, proteins, and base modifications. Its unique advantages, including portability, scalability, and the capacity for culture-independent workflows, combined with the depth of sequencing data produced, make it especially well-suited for infectious disease diagnostics and surveillance in both clinical and field settings. In this review, we aim to critically examine recent advances in the application of nanopore sequencing for diagnosing infectious diseases caused by bacterial, viral, fungal, and parasitic agents, as well as for detecting antimicrobial resistance genes. We also compare its potential advantages over conventional diagnostic methods and explore its expanding role in tracking outbreaks, monitoring pathogens in the environment, and detecting spillover events from animals to humans. Together, these applications highlight the relevance and position of this novel technology as a tool of choice for translational medical research and clinicians in the fight against infectious diseases and for global health preparedness.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Microbiology
Published
2026-09-17
DOI
https://doi.org/10.1128/jcm.00083-26
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Nanopore sequencing in infectious disease diagnostics and surveillance

Caroline Koch, Adithi Somayaji, Clarissa Prazeres da Costa, Youssef Hamway et al.
Journal of Clinical Microbiology
Genomics and Phylogenetic Studies
article

Nanopore sequencing in infectious disease diagnostics and surveillance

Caroline Koch, Adithi Somayaji, Clarissa Prazeres da Costa, Youssef Hamway, Piyas Mukherjee
article en

Abstract

The global burden of infectious disease is on the rise, driven by antibiotic resistance, emerging pathogens, and gaps in accessible, decentralized diagnostics. To address these demands, there is a need for the development of diagnostic platforms for detection, surveillance, or monitoring assays with quick turnaround times. Oxford Nanopore sequencing, a platform for real-time long-read third-generation sequencing, has emerged as a promising tool in this space, with the ability to detect a wide range of molecular targets, including DNA, RNA, proteins, and base modifications. Its unique advantages, including portability, scalability, and the capacity for culture-independent workflows, combined with the depth of sequencing data produced, make it especially well-suited for infectious disease diagnostics and surveillance in both clinical and field settings. In this review, we aim to critically examine recent advances in the application of nanopore sequencing for diagnosing infectious diseases caused by bacterial, viral, fungal, and parasitic agents, as well as for detecting antimicrobial resistance genes. We also compare its potential advantages over conventional diagnostic methods and explore its expanding role in tracking outbreaks, monitoring pathogens in the environment, and detecting spillover events from animals to humans. Together, these applications highlight the relevance and position of this novel technology as a tool of choice for translational medical research and clinicians in the fight against infectious diseases and for global health preparedness.

Journal of Clinical Microbiology
German Center for Infection Research (DE), Institute of Medical Microbiology and Hygiene (DE), Imperial College London (GB), Technical University of Munich (DE)
Deutsches Zentrum für Infektionsforschung, Deutsche Forschungsgemeinschaft
Partnerships for the goals
Openalex Percentile: Top 19%
Genomics and Phylogenetic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.