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Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages

Salmonella is a major causative agent of foodborne illness and rapid identification of this pathogen is essential to prevent disease. Currently most assays require high bacterial burdens or prolonged enrichment to achieve acceptable performance. A reduction in testing time without loss of sensitivit...

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Autores principales: Nguyen, Minh M., Gil, Jose, Brown, Matthew, Cesar Tondo, Eduardo, Soraya Martins de Aquino, Nathanyelle, Eisenberg, Marcia, Erickson, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567081/
https://www.ncbi.nlm.nih.gov/pubmed/33060781
http://dx.doi.org/10.1038/s41598-020-74587-8
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author Nguyen, Minh M.
Gil, Jose
Brown, Matthew
Cesar Tondo, Eduardo
Soraya Martins de Aquino, Nathanyelle
Eisenberg, Marcia
Erickson, Stephen
author_facet Nguyen, Minh M.
Gil, Jose
Brown, Matthew
Cesar Tondo, Eduardo
Soraya Martins de Aquino, Nathanyelle
Eisenberg, Marcia
Erickson, Stephen
author_sort Nguyen, Minh M.
collection PubMed
description Salmonella is a major causative agent of foodborne illness and rapid identification of this pathogen is essential to prevent disease. Currently most assays require high bacterial burdens or prolonged enrichment to achieve acceptable performance. A reduction in testing time without loss of sensitivity is critical to allow food processors to safely decrease product holding time. To meet this need, a method was developed to detect Salmonella using luciferase reporter bacteriophages. Bacteriophages were engineered to express NanoLuc, a novel optimized luciferase originating from the deep-sea shrimp Oplophorus gracilirostris. NanoLuc-expressing bacteriophages had a limit of detection of 10–100 CFU per mL in culture without enrichment. Luciferase reporters demonstrated a broad host range covering all Salmonella species with one reporter detecting 99.3% of 269 inclusivity strains. Cross-reactivity was limited and only observed with other members of the Enterobacteriaceae family. In food matrix studies, a cocktail of engineered bacteriophages accurately detected 1 CFU in either 25 g of ground turkey with a 7 h enrichment or 100 g of powdered infant formula with a 16 h enrichment. Use of the NanoLuc reporter assay described herein resulted in a considerable reduction in enrichment time without a loss of sensitivity.
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spelling pubmed-75670812020-10-19 Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages Nguyen, Minh M. Gil, Jose Brown, Matthew Cesar Tondo, Eduardo Soraya Martins de Aquino, Nathanyelle Eisenberg, Marcia Erickson, Stephen Sci Rep Article Salmonella is a major causative agent of foodborne illness and rapid identification of this pathogen is essential to prevent disease. Currently most assays require high bacterial burdens or prolonged enrichment to achieve acceptable performance. A reduction in testing time without loss of sensitivity is critical to allow food processors to safely decrease product holding time. To meet this need, a method was developed to detect Salmonella using luciferase reporter bacteriophages. Bacteriophages were engineered to express NanoLuc, a novel optimized luciferase originating from the deep-sea shrimp Oplophorus gracilirostris. NanoLuc-expressing bacteriophages had a limit of detection of 10–100 CFU per mL in culture without enrichment. Luciferase reporters demonstrated a broad host range covering all Salmonella species with one reporter detecting 99.3% of 269 inclusivity strains. Cross-reactivity was limited and only observed with other members of the Enterobacteriaceae family. In food matrix studies, a cocktail of engineered bacteriophages accurately detected 1 CFU in either 25 g of ground turkey with a 7 h enrichment or 100 g of powdered infant formula with a 16 h enrichment. Use of the NanoLuc reporter assay described herein resulted in a considerable reduction in enrichment time without a loss of sensitivity. Nature Publishing Group UK 2020-10-15 /pmc/articles/PMC7567081/ /pubmed/33060781 http://dx.doi.org/10.1038/s41598-020-74587-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nguyen, Minh M.
Gil, Jose
Brown, Matthew
Cesar Tondo, Eduardo
Soraya Martins de Aquino, Nathanyelle
Eisenberg, Marcia
Erickson, Stephen
Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title_full Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title_fullStr Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title_full_unstemmed Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title_short Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages
title_sort accurate and sensitive detection of salmonella in foods by engineered bacteriophages
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567081/
https://www.ncbi.nlm.nih.gov/pubmed/33060781
http://dx.doi.org/10.1038/s41598-020-74587-8
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