Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing
Foodborne zoonotic pathogens have a severe impact on food safety. The demand for animal-based food products (meat, milk, and eggs) is increasing, and therefore faster methods are necessary to detect infected animals or contaminated food before products enter the market. However, conventional detecti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/11/12/517 |
| _version_ | 1797410838424846336 |
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| author | Julia Niehues Christopher McElroy Alexander Croon Jan Pietschmann Martin Frettlöh Florian Schröper |
| author_facet | Julia Niehues Christopher McElroy Alexander Croon Jan Pietschmann Martin Frettlöh Florian Schröper |
| author_sort | Julia Niehues |
| collection | DOAJ |
| description | Foodborne zoonotic pathogens have a severe impact on food safety. The demand for animal-based food products (meat, milk, and eggs) is increasing, and therefore faster methods are necessary to detect infected animals or contaminated food before products enter the market. However, conventional detection is based on time-consuming microbial cultivation methods. Here, the establishment of a quorum sensing-based method for detection of foodborne pathogens as <i>Yersinia enterocolitica</i> in a co-cultivation approach using a bacterial biosensor carrying a special sensor plasmid is described. We combined selective enrichment with the simultaneous detection of pathogens by recording autoinducer-1-induced bioluminescent response of the biosensor. This new approach enables real-time detection with a calculated sensitivity of one initial cell in a sample after 15.3 h of co-cultivation, while higher levels of initial contamination can be detected within less than half of the time. Our new method is substantially faster than conventional microbial cultivation and should be transferrable to other zoonotic foodborne pathogens. As we could demonstrate, quorum sensing is a promising platform for the development of sensitive assays in the area of food quality, safety, and hygiene. |
| first_indexed | 2024-03-09T04:36:03Z |
| format | Article |
| id | doaj.art-951c3281c07a4ba7a20f8ba9a45f229e |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-09T04:36:03Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-951c3281c07a4ba7a20f8ba9a45f229e2023-12-03T13:28:21ZengMDPI AGBiosensors2079-63742021-12-01111251710.3390/bios11120517Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum SensingJulia Niehues0Christopher McElroy1Alexander Croon2Jan Pietschmann3Martin Frettlöh4Florian Schröper5Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Forckenbeckstraße 6, 52074 Aachen, GermanyFraunhofer Institute for Molecular Biology and Applied Ecology IME, Forckenbeckstraße 6, 52074 Aachen, GermanyFraunhofer Institute for Molecular Biology and Applied Ecology IME, Forckenbeckstraße 6, 52074 Aachen, GermanyFraunhofer Institute for Molecular Biology and Applied Ecology IME, Forckenbeckstraße 6, 52074 Aachen, GermanyQuh-Lab Lebensmittelsicherheit, Siegener Str. 29, 57080 Siegen, GermanyFraunhofer Institute for Molecular Biology and Applied Ecology IME, Forckenbeckstraße 6, 52074 Aachen, GermanyFoodborne zoonotic pathogens have a severe impact on food safety. The demand for animal-based food products (meat, milk, and eggs) is increasing, and therefore faster methods are necessary to detect infected animals or contaminated food before products enter the market. However, conventional detection is based on time-consuming microbial cultivation methods. Here, the establishment of a quorum sensing-based method for detection of foodborne pathogens as <i>Yersinia enterocolitica</i> in a co-cultivation approach using a bacterial biosensor carrying a special sensor plasmid is described. We combined selective enrichment with the simultaneous detection of pathogens by recording autoinducer-1-induced bioluminescent response of the biosensor. This new approach enables real-time detection with a calculated sensitivity of one initial cell in a sample after 15.3 h of co-cultivation, while higher levels of initial contamination can be detected within less than half of the time. Our new method is substantially faster than conventional microbial cultivation and should be transferrable to other zoonotic foodborne pathogens. As we could demonstrate, quorum sensing is a promising platform for the development of sensitive assays in the area of food quality, safety, and hygiene.https://www.mdpi.com/2079-6374/11/12/517autoinducerco-cultivation bioassayfood safetyfoodborne pathogens<i>N</i>-acyl homoserine lactonesplasmid-based biosensor |
| spellingShingle | Julia Niehues Christopher McElroy Alexander Croon Jan Pietschmann Martin Frettlöh Florian Schröper Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing Biosensors autoinducer co-cultivation bioassay food safety foodborne pathogens <i>N</i>-acyl homoserine lactones plasmid-based biosensor |
| title | Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing |
| title_full | Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing |
| title_fullStr | Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing |
| title_full_unstemmed | Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing |
| title_short | Bacterial Lighthouses—Real-Time Detection of <i>Yersinia enterocolitica</i> by Quorum Sensing |
| title_sort | bacterial lighthouses real time detection of i yersinia enterocolitica i by quorum sensing |
| topic | autoinducer co-cultivation bioassay food safety foodborne pathogens <i>N</i>-acyl homoserine lactones plasmid-based biosensor |
| url | https://www.mdpi.com/2079-6374/11/12/517 |
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