Introduction
Food safety is a worldwide concern; the surveillance of foodborne pathogens is critical for avoiding mass morbidity. Despite their reliability, traditional methods for identification are time-consuming and laborious. Molecular techniques have emerged as powerful tools in recent years, offering faster, more specific and more sensitive modes of detection. This paper reviews molecular techniques that have been developed and applied for the detection of major foodborne pathogens, especially Listeria monocytogenes and Salmonella.
Molecular Techniques for Pathogen Detection
In food safety laboratories, PCR is commonly used and in most cases, other molecular techniques like real-time quantitative PCR (qPCR) and next-generation sequencing (NGS) are employed as they have proved to be the gold standard. The rapid identification of unique genetic markers from different pathogens assures specificity.
PCR and qPCR are the pioneers of molecular methods that have revolutionized pathogen detection. Polymerase chain reaction amplifies specific DNA targets and can detect even the smallest amounts of pathogen DNA. Quantitative PCR uses fluorescent markers that monitor DNA amplification in real time to determine the amount of pathogen present (Okubara et al., 2005). The sensitivity and specificity observed when using qPCR to detect L. monocytogenes makes this method extremely valuable for ensuring food safety (Garrido-Maestu et al., 2018; Jandaghi et al., 2020). Similarly, qPCR assays targeting invA and hilA have been shown to be well suited for detecting Salmonella in a variety of food samples (Xu et al. (2008)).
NGS Technology: NGS represents the ultimate comprehensive approach for pathogen detection, with the ability to sequence the entire genome of a foodborne pathogen. This enables detailed insights into pathogen strains and virulence factors as well as antibiotic resistance profiles. The contribution of NGS in outbreak investigations of L. monocytogenes and Salmonella has been extremely valuable in tracing the source and pathway of contamination (Lakićević et al., 2022; Jackson et al., 2016; Oakeson et al., 2018; Portmann et al., 2018). These data are of high resolution and provide insights into pathogen epidemiology beyond what traditional methods can provide.
Molecular Techniques in Food Safety: Their Applications
The rapid and accurate detection of pathogens is the driving force behind the increasing use of molecular techniques in food safety. Such methods are now an important component of routine food testing programs and surveillance measures.
Listeria monocytogenes: The ability of L. monocytogenes to grow at refrigerator temperatures makes it a serious hazard for ready-to-eat foods. Molecular techniques enable rapid detection of this pathogen in food processing environments, allowing for timely intervention to prevent contamination. PCR tests targeting the hlyA gene, an important virulence factor, are particularly effective in detecting pathogenic strains of L. monocytogenes (Liu et al., 2012; Smith et al., 2000; Traunšek et al., 2011).
Salmonella spp.: As one of the most important pathogens of foodborne illness worldwide, significant progress has been made in the detection of Salmonella species through molecular techniques and multiplex PCR applied to a variety of foods, such as poultry, eggs, and fresh produce. The efficiency of Salmonella surveillance has been improved by the development of multiplex PCR methods, which can detect multiple pathogens simultaneously in large-scale food safety projects (Kawasaki et al., 2009; Nguyen et al., 2016; Zhang et al., 2009).
Despite the many advantages of molecular methods, they require specialized equipment and expertise, making them difficult to implement on a large scale. Advanced bioinformatics—especially when reading complex data from NGS—may not be available in all laboratories.
Future innovations in molecular diagnostics may target technology that is more widely available and less costly. LAMP is a new approach and seems to be very useful as an alternative to PCR; it may have potential applications in point-of-care food safety. In this way, the evolution of microfluidics and lab-on-a-chip technologies will bring miniaturization and automation sure systems for the identification of pathogens, which will contribute to their widespread use.
Conclusions
The detection of foodborne pathogens by molecular means has evolved and positively complements traditional methods. It is thus important to adopt rapid, sensitive, and specific molecular methodologies for detecting these target pathogens so as to assure food safety. Although there are some difficulties that may be encountered, subsequent progress in molecular diagnostics will help enhance the identification and control of such pathogens as L. monocytogenes and Salmonella from farm to table.
References
- Garrido-Maestu, Alejandro, et al. "Rapid and Sensitive Detection of Viable Listeria monocytogenes in Food Products by a Filtration-Based Protocol and qPCR." Food Microbiology, vol. 73, 2018, pp. 254-263.
- Jackson, B. R., C. Tarr, E. Strain, et al. "Implementation of Nationwide Real-Time Whole-Genome Sequencing to Enhance Listeriosis Outbreak Detection and Investigation." Clinical Infectious Diseases, vol. 63, no. 3, 2016, pp. 380-386. [CrossRef]
- Jandaghi, H., M. M. Ghahramani Seno, H. R. Farzin, and M. Mohsenzadeh. "Rapid Quantitative Detection of Listeria monocytogenes in Chicken Using Direct and Combined Enrichment/qPCR Method." Iranian Journal of Chemistry and Chemical Engineering, vol. 39, no. 3, 2020, pp. 137-146. [CrossRef]
- Kawasaki, Susumu, et al. "Evaluation of a Multiplex PCR System for Simultaneous Detection of Salmonella spp., Listeria monocytogenes, and Escherichia coli O157: H7 in Foods and in Food Subjected to Freezing." Foodborne Pathogens and Disease, vol. 6, no. 1, 2009, pp. 81-89.
- Lakicevic, B., V. Jankovic, A. Pietzka, and W. Ruppitsch. "Whole-Genome Sequencing as the Gold Standard Approach for Control of Listeria monocytogenes in the Food Chain." Journal of Food Protection, vol. 86, no. 1, 2023, p. 100003. 1000; 03. [CrossRef]
- Liu, Pei, et al. "A New Rapid Real-Time PCR Method for Detection of Listeria monocytogenes Targeting the hlyA Gene." Food Science and Technology Research, vol. 18, no. 1, 2012, pp. 47-57.
- Nguyen, Thuy Trang, Vo Van Giau, and Tuong Kha Vo. "Multiplex PCR for Simultaneous Identification of E. coli O157: H7, Salmonella spp. and L. monocytogenes in Food." 3 Biotech, vol. 6, 2016, pp. 1-9.
- Oakeson, K. F., J. M. Wagner, A. Rohrwasser, and R. Atkinson-Dunn. "Whole-Genome Sequencing and Bioinformatic Analysis of Isolates from Foodborne Illness Outbreaks of Campylobacter jejuni and Salmonella enterica." Journal of Clinical Microbiology, vol. 56, no. 11, 2018, p. e00161-18. [CrossRef]
- Okubara, P. A., K. L. Schroeder, and T. C. Paulitz. "Emerging Technologies / Technologies Naissantes: Real-Time Polymerase Chain Reaction: Applications to Studies on Soilborne Pathogens." 2005.
- Portmann, Anne-Catherine, et al. "A Validation Approach of an End-to-End Whole Genome Sequencing Workflow for Source Tracking of Listeria monocytogenes and Salmonella enterica." Frontiers in Microbiology, vol. 9, 2018. [CrossRef]
- Smith, T. J., L. O’Connor, M. Glennon, and M. Maher. "Molecular Diagnostics in Food Safety: Rapid Detection of Food-Borne Pathogens." Irish Journal of Agricultural and Food Research, vol. 39, 2000, pp. 309-319.
- Traunšek, Urban, et al. "Novel Cost-Efficient Real-Time PCR Assays for Detection and Quantitation of Listeria monocytogenes." Journal of Microbiological Methods, vol. 85, no. 1, 2011, pp. 40-46.
- Xu, X., Q. Wu, J. Zhang, and Y. Zhou. "[Study on a Duplex Specific Detection of Salmonella spp. in Foods by a Duplex PCR]." Wei Sheng Yan Jiu = Journal of Hygiene Research, vol. 37, no. 4, 2008, pp. 483-486.
- Zhang, D., et al. "Simultaneous Detection of Listeria monocytogenes, Staphylococcus aureus, Salmonella enterica and Escherichia coli O157: H7 in Food Samples Using Multiplex PCR Method." Journal of Food Safety, vol. 29, no. 3, 2009, pp. 348-363.
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).