Molecular detection and characterization of foodborne bacteria: Recent progresses and remaining challenges

The global food demand is expected to increase in the coming years, along with challenges around climate change and food security. Concomitantly, food safety risks, particularly those related to bacterial pathogens, may also increase. Thus, the food sector needs to innovate to rise to this challenge...

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Bibliographic Details
Published in:Comprehensive reviews in food science and food safety 2023-05, Vol.22 (3), p.2433-2464
Main Authors: Hadi, Joshua, Rapp, Delphine, Dhawan, Sharduli, Gupta, Sandeep K., Gupta, Tanushree B., Brightwell, Gale
Format: Article
Language:English
Subjects:
antimicrobial resistance
Bacteria
Bacteria - genetics
Climate change
CRISPR
CRISPR-Cas Systems
ddPCR
Epidemiology
Food Safety
Food security
Foodborne pathogens
Genetic markers
Genome-Wide Association Study
Genomes
LAMP
Listeria
machine learning
Pathogens
Polymerase chain reaction
Salmonella
shiga toxin‐producing E. coli
Vibrio
WGS
Whole genome sequencing
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Summary:The global food demand is expected to increase in the coming years, along with challenges around climate change and food security. Concomitantly, food safety risks, particularly those related to bacterial pathogens, may also increase. Thus, the food sector needs to innovate to rise to this challenge. Here, we discuss recent advancements in molecular techniques that can be deployed within various foodborne bacteria surveillance systems across food settings. To start with, we provide updates on nucleic acid‐based detection, with a focus on polymerase chain reaction (PCR)‐based technologies and loop‐mediated isothermal amplification (LAMP). These include descriptions of novel genetic markers for several foodborne bacteria and progresses in multiplex PCR and droplet digital PCR. The next section provides an overview of the development of clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR‐associated (Cas) proteins systems, such as CRISPR‐Cas9, CRISPR‐Cas12a, and CRISPR‐Cas13a, as tools for enhanced sensitive and specific detection of foodborne pathogens. The final section describes utilizations of whole genome sequencing for accurate characterization of foodborne bacteria, ranging from epidemiological surveillance to model‐based predictions of bacterial phenotypic traits through genome‐wide association studies or machine learning.
ISSN:1541-4337
1541-4337
DOI:10.1111/1541-4337.13153