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Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica 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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699262/ https://www.ncbi.nlm.nih.gov/pubmed/34940274 http://dx.doi.org/10.3390/bios11120517 |
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author | Niehues, Julia McElroy, Christopher Croon, Alexander Pietschmann, Jan Frettlöh, Martin Schröper, Florian |
author_facet | Niehues, Julia McElroy, Christopher Croon, Alexander Pietschmann, Jan Frettlöh, Martin Schröper, Florian |
author_sort | Niehues, Julia |
collection | PubMed |
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 Yersinia enterocolitica 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. |
format | Online Article Text |
id | pubmed-8699262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86992622021-12-24 Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing Niehues, Julia McElroy, Christopher Croon, Alexander Pietschmann, Jan Frettlöh, Martin Schröper, Florian Biosensors (Basel) Article 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 Yersinia enterocolitica 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. MDPI 2021-12-16 /pmc/articles/PMC8699262/ /pubmed/34940274 http://dx.doi.org/10.3390/bios11120517 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Niehues, Julia McElroy, Christopher Croon, Alexander Pietschmann, Jan Frettlöh, Martin Schröper, Florian Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title | Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title_full | Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title_fullStr | Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title_full_unstemmed | Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title_short | Bacterial Lighthouses—Real-Time Detection of Yersinia enterocolitica by Quorum Sensing |
title_sort | bacterial lighthouses—real-time detection of yersinia enterocolitica by quorum sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699262/ https://www.ncbi.nlm.nih.gov/pubmed/34940274 http://dx.doi.org/10.3390/bios11120517 |
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