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Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches

The aim of this article was to define the sampling level and method combination that captures antibiotic resistance at pig herd level utilizing qPCR antibiotic resistance gene quantification and culture-based quantification of antibiotic resistant coliform indicator bacteria. Fourteen qPCR assays fo...

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Autores principales: Schmidt, Gunilla Veslemøy, Mellerup, Anders, Christiansen, Lasse Engbo, Ståhl, Marie, Olsen, John Elmerdahl, Angen, Øystein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4483237/
https://www.ncbi.nlm.nih.gov/pubmed/26114765
http://dx.doi.org/10.1371/journal.pone.0131672
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author Schmidt, Gunilla Veslemøy
Mellerup, Anders
Christiansen, Lasse Engbo
Ståhl, Marie
Olsen, John Elmerdahl
Angen, Øystein
author_facet Schmidt, Gunilla Veslemøy
Mellerup, Anders
Christiansen, Lasse Engbo
Ståhl, Marie
Olsen, John Elmerdahl
Angen, Øystein
author_sort Schmidt, Gunilla Veslemøy
collection PubMed
description The aim of this article was to define the sampling level and method combination that captures antibiotic resistance at pig herd level utilizing qPCR antibiotic resistance gene quantification and culture-based quantification of antibiotic resistant coliform indicator bacteria. Fourteen qPCR assays for commonly detected antibiotic resistance genes were developed, and used to quantify antibiotic resistance genes in total DNA from swine fecal samples that were obtained using different sampling and pooling methods. In parallel, the number of antibiotic resistant coliform indicator bacteria was determined in the same swine fecal samples. The results showed that the qPCR assays were capable of detecting differences in antibiotic resistance levels in individual animals that the coliform bacteria colony forming units (CFU) could not. Also, the qPCR assays more accurately quantified antibiotic resistance genes when comparing individual sampling and pooling methods. qPCR on pooled samples was found to be a good representative for the general resistance level in a pig herd compared to the coliform CFU counts. It had significantly reduced relative standard deviations compared to coliform CFU counts in the same samples, and therefore differences in antibiotic resistance levels between samples were more readily detected. To our knowledge, this is the first study to describe sampling and pooling methods for qPCR quantification of antibiotic resistance genes in total DNA extracted from swine feces.
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spelling pubmed-44832372015-06-29 Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches Schmidt, Gunilla Veslemøy Mellerup, Anders Christiansen, Lasse Engbo Ståhl, Marie Olsen, John Elmerdahl Angen, Øystein PLoS One Research Article The aim of this article was to define the sampling level and method combination that captures antibiotic resistance at pig herd level utilizing qPCR antibiotic resistance gene quantification and culture-based quantification of antibiotic resistant coliform indicator bacteria. Fourteen qPCR assays for commonly detected antibiotic resistance genes were developed, and used to quantify antibiotic resistance genes in total DNA from swine fecal samples that were obtained using different sampling and pooling methods. In parallel, the number of antibiotic resistant coliform indicator bacteria was determined in the same swine fecal samples. The results showed that the qPCR assays were capable of detecting differences in antibiotic resistance levels in individual animals that the coliform bacteria colony forming units (CFU) could not. Also, the qPCR assays more accurately quantified antibiotic resistance genes when comparing individual sampling and pooling methods. qPCR on pooled samples was found to be a good representative for the general resistance level in a pig herd compared to the coliform CFU counts. It had significantly reduced relative standard deviations compared to coliform CFU counts in the same samples, and therefore differences in antibiotic resistance levels between samples were more readily detected. To our knowledge, this is the first study to describe sampling and pooling methods for qPCR quantification of antibiotic resistance genes in total DNA extracted from swine feces. Public Library of Science 2015-06-26 /pmc/articles/PMC4483237/ /pubmed/26114765 http://dx.doi.org/10.1371/journal.pone.0131672 Text en © 2015 Schmidt et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Schmidt, Gunilla Veslemøy
Mellerup, Anders
Christiansen, Lasse Engbo
Ståhl, Marie
Olsen, John Elmerdahl
Angen, Øystein
Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title_full Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title_fullStr Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title_full_unstemmed Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title_short Sampling and Pooling Methods for Capturing Herd Level Antibiotic Resistance in Swine Feces using qPCR and CFU Approaches
title_sort sampling and pooling methods for capturing herd level antibiotic resistance in swine feces using qpcr and cfu approaches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4483237/
https://www.ncbi.nlm.nih.gov/pubmed/26114765
http://dx.doi.org/10.1371/journal.pone.0131672
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