Third-generation nanopore sequencing: advancing real-time pathogen detection and antimicrobial resistance surveillance in food safety applications

Foodborne diseases impact 600 million people annually, causing 420 000 deaths and over $110 billion in economic losses. Conventional pathogen detection methods take 3-7 days and lack sensitivity for low-abundance pathogens and antimicrobial resistance (AMR) genes. This review evaluates nanopore sequencing's potential in food microbiology, analyzing real-time pathogen detection, AMR surveillance, and performance <i>versus</i> traditional methods. A systematic review of 80 studies (2015-2025) revealed nanopore sequencing reduces detection time to <24 hours with 95-98% species identification accuracy and >90% AMR gene sensitivity, at $50-200 per sample <i>versus</i> $300-800 for traditional whole-genome sequencing. It enables multiplex pathogen detection, viable but non-culturable organism identification, and real-time AMR profiling. However, challenges include error rates of 8-15% in homopolymeric regions and the need for bioinformatics expertise. Addressing challenges, including error rates of 8-15% in homopolymeric regions and the need for bioinformatics expertise, requires strategic mitigation approaches. Despite limitations, advances in base-calling and workflows make nanopore sequencing a transformative tool for next-generation food safety surveillance.

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Publication Details

Journal
The Analyst
Published
2025-12-18
DOI
https://doi.org/10.1039/d5an01028d
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
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article

Third-generation nanopore sequencing: advancing real-time pathogen detection and antimicrobial resistance surveillance in food safety applications

Ghulam Murtaza, Abdul Rahman, Muhammad Nadeem, Aysha Sarfraz Rizvi
The Analyst
Genomics and Phylogenetic Studies
article

Third-generation nanopore sequencing: advancing real-time pathogen detection and antimicrobial resistance surveillance in food safety applications

Ghulam Murtaza, Abdul Rahman, Muhammad Nadeem, Aysha Sarfraz Rizvi
article en

Abstract

Foodborne diseases impact 600 million people annually, causing 420 000 deaths and over $110 billion in economic losses. Conventional pathogen detection methods take 3-7 days and lack sensitivity for low-abundance pathogens and antimicrobial resistance (AMR) genes. This review evaluates nanopore sequencing's potential in food microbiology, analyzing real-time pathogen detection, AMR surveillance, and performance <i>versus</i> traditional methods. A systematic review of 80 studies (2015-2025) revealed nanopore sequencing reduces detection time to <24 hours with 95-98% species identification accuracy and >90% AMR gene sensitivity, at $50-200 per sample <i>versus</i> $300-800 for traditional whole-genome sequencing. It enables multiplex pathogen detection, viable but non-culturable organism identification, and real-time AMR profiling. However, challenges include error rates of 8-15% in homopolymeric regions and the need for bioinformatics expertise. Addressing challenges, including error rates of 8-15% in homopolymeric regions and the need for bioinformatics expertise, requires strategic mitigation approaches. Despite limitations, advances in base-calling and workflows make nanopore sequencing a transformative tool for next-generation food safety surveillance.

The Analyst
Minzu University of China (CN), Wuchang University of Technology (CN)
Openalex Percentile: Top 63%
Genomics and Phylogenetic Studies
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