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A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms

Shiga toxin-producing E. coli (STEC), of various serogroups harboring the intimin gene, form a serious threat to human health. They are asymptomatically carried by cattle. In this study, a quantitative real-time PCR (qPCR) method was developed as a molecular method to detect and quantify Shiga toxin...

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Autores principales: Verstraete, Karen, Van Coillie, Els, Werbrouck, Hadewig, Van Weyenberg, Stephanie, Herman, Lieve, Del-Favero, Jurgen, De Rijk, Peter, De Zutter, Lieven, Joris, Maria-Adelheid, Heyndrickx, Marc, De Reu, Koen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014729/
https://www.ncbi.nlm.nih.gov/pubmed/24681714
http://dx.doi.org/10.3390/toxins6041201
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author Verstraete, Karen
Van Coillie, Els
Werbrouck, Hadewig
Van Weyenberg, Stephanie
Herman, Lieve
Del-Favero, Jurgen
De Rijk, Peter
De Zutter, Lieven
Joris, Maria-Adelheid
Heyndrickx, Marc
De Reu, Koen
author_facet Verstraete, Karen
Van Coillie, Els
Werbrouck, Hadewig
Van Weyenberg, Stephanie
Herman, Lieve
Del-Favero, Jurgen
De Rijk, Peter
De Zutter, Lieven
Joris, Maria-Adelheid
Heyndrickx, Marc
De Reu, Koen
author_sort Verstraete, Karen
collection PubMed
description Shiga toxin-producing E. coli (STEC), of various serogroups harboring the intimin gene, form a serious threat to human health. They are asymptomatically carried by cattle. In this study, a quantitative real-time PCR (qPCR) method was developed as a molecular method to detect and quantify Shiga toxin genes stx1 and stx2 and the intimin gene eae. Subsequently, 59 fecal samples from six farms were tested using qPCR and a culture method as a reference. Three farms had contaminated animals as demonstrated by the culture method. Culture-positive farms showed moderate significantly higher stx prevalences than culture-negative farms (p = 0.05). This is the first study which showed preliminary results that qPCR can predict STEC farm contamination, with a specificity of 77% and a sensitivity of 83%, as compared with the culture method. Furthermore, the presence or quantity of stx genes in feces was not correlated to the isolation of STEC from the individual animal. Quantitative data thus did not add value to the results. Finally, the detection of both stx and eae genes within the same fecal sample or farm using qPCR was not correlated with the isolation of an eae-harboring STEC strain from the respective sample or farm using the culture method.
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spelling pubmed-40147292014-05-09 A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms Verstraete, Karen Van Coillie, Els Werbrouck, Hadewig Van Weyenberg, Stephanie Herman, Lieve Del-Favero, Jurgen De Rijk, Peter De Zutter, Lieven Joris, Maria-Adelheid Heyndrickx, Marc De Reu, Koen Toxins (Basel) Article Shiga toxin-producing E. coli (STEC), of various serogroups harboring the intimin gene, form a serious threat to human health. They are asymptomatically carried by cattle. In this study, a quantitative real-time PCR (qPCR) method was developed as a molecular method to detect and quantify Shiga toxin genes stx1 and stx2 and the intimin gene eae. Subsequently, 59 fecal samples from six farms were tested using qPCR and a culture method as a reference. Three farms had contaminated animals as demonstrated by the culture method. Culture-positive farms showed moderate significantly higher stx prevalences than culture-negative farms (p = 0.05). This is the first study which showed preliminary results that qPCR can predict STEC farm contamination, with a specificity of 77% and a sensitivity of 83%, as compared with the culture method. Furthermore, the presence or quantity of stx genes in feces was not correlated to the isolation of STEC from the individual animal. Quantitative data thus did not add value to the results. Finally, the detection of both stx and eae genes within the same fecal sample or farm using qPCR was not correlated with the isolation of an eae-harboring STEC strain from the respective sample or farm using the culture method. MDPI 2014-03-27 /pmc/articles/PMC4014729/ /pubmed/24681714 http://dx.doi.org/10.3390/toxins6041201 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Verstraete, Karen
Van Coillie, Els
Werbrouck, Hadewig
Van Weyenberg, Stephanie
Herman, Lieve
Del-Favero, Jurgen
De Rijk, Peter
De Zutter, Lieven
Joris, Maria-Adelheid
Heyndrickx, Marc
De Reu, Koen
A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title_full A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title_fullStr A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title_full_unstemmed A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title_short A qPCR Assay to Detect and Quantify Shiga Toxin-Producing E. coli (STEC) in Cattle and on Farms: A Potential Predictive Tool for STEC Culture-Positive Farms
title_sort qpcr assay to detect and quantify shiga toxin-producing e. coli (stec) in cattle and on farms: a potential predictive tool for stec culture-positive farms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014729/
https://www.ncbi.nlm.nih.gov/pubmed/24681714
http://dx.doi.org/10.3390/toxins6041201
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