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Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems

Antimicrobial use in agricultural animals is known to be associated with increases in antimicrobial resistance. Most prior studies have utilized culture and susceptibility testing of select organisms to document these phenomena. In this study we aimed to detect 66 antimicrobial resistance (AMR) gene...

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Autores principales: Pholwat, Suporn, Pongpan, Tawat, Chinli, Rattapha, Rogawski McQuade, Elizabeth T., Thaipisuttikul, Iyarit, Ratanakorn, Parntep, Liu, Jie, Taniuchi, Mami, Houpt, Eric R., Foongladda, Suporn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311580/
https://www.ncbi.nlm.nih.gov/pubmed/32625181
http://dx.doi.org/10.3389/fmicb.2020.01238
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author Pholwat, Suporn
Pongpan, Tawat
Chinli, Rattapha
Rogawski McQuade, Elizabeth T.
Thaipisuttikul, Iyarit
Ratanakorn, Parntep
Liu, Jie
Taniuchi, Mami
Houpt, Eric R.
Foongladda, Suporn
author_facet Pholwat, Suporn
Pongpan, Tawat
Chinli, Rattapha
Rogawski McQuade, Elizabeth T.
Thaipisuttikul, Iyarit
Ratanakorn, Parntep
Liu, Jie
Taniuchi, Mami
Houpt, Eric R.
Foongladda, Suporn
author_sort Pholwat, Suporn
collection PubMed
description Antimicrobial use in agricultural animals is known to be associated with increases in antimicrobial resistance. Most prior studies have utilized culture and susceptibility testing of select organisms to document these phenomena. In this study we aimed to detect 66 antimicrobial resistance (AMR) genes for 10 antimicrobial agent classes directly in swine fecal samples using our previously developed antimicrobial resistance TaqMan array card (AMR-TAC) across three different swine farm management systems. This included 38 extensive antimicrobial use (both in treatment and feed), 30 limited antimicrobial use (treatment only), and 30 no antimicrobial use farms. The number of resistance genes detected in extensive antimicrobial use farms was higher than in limited and no antimicrobial use farms (28.2 genes ± 4.2 vs. 24.0 genes ± 4.1 and 22.8 genes ± 3.6, respectively, p < 0.05). A principal component analysis and hierarchical clustering of the AMR gene data showed the extensive use farm samples were disparate from the limited and no antimicrobial use farms. The prevalence of resistance genes in extensive use farms was significantly higher than the other farm categories for 18 resistance genes including bla(SHV), bla(CTX–M1) group, bla(CTX–M9) group, bla(VEB), bla(CMY2–LAT,) aac(6′)-lb-cr, qnrB1, gyrA83L-E. coli, armA, rmtB, aac(3)-IIa, mphA, 23S rRNA 2075G-Campylobacter spp., mcr-1, catA1, floR, dfrA5-14, and dfrA17. These genotypic findings were supported by phenotypic susceptibility results on fecal E. coli isolates. To examine the timing of AMR gene abundance in swine farms, we also performed a longitudinal study in pigs. The results showed that AMR prevalence occurred both early, presumably from mothers, as well as after weaning, presumably from the environment. In summary, detection of AMR genes directly in fecal samples can be used to qualitatively and quantitatively monitor AMR in swine farms.
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spelling pubmed-73115802020-07-02 Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems Pholwat, Suporn Pongpan, Tawat Chinli, Rattapha Rogawski McQuade, Elizabeth T. Thaipisuttikul, Iyarit Ratanakorn, Parntep Liu, Jie Taniuchi, Mami Houpt, Eric R. Foongladda, Suporn Front Microbiol Microbiology Antimicrobial use in agricultural animals is known to be associated with increases in antimicrobial resistance. Most prior studies have utilized culture and susceptibility testing of select organisms to document these phenomena. In this study we aimed to detect 66 antimicrobial resistance (AMR) genes for 10 antimicrobial agent classes directly in swine fecal samples using our previously developed antimicrobial resistance TaqMan array card (AMR-TAC) across three different swine farm management systems. This included 38 extensive antimicrobial use (both in treatment and feed), 30 limited antimicrobial use (treatment only), and 30 no antimicrobial use farms. The number of resistance genes detected in extensive antimicrobial use farms was higher than in limited and no antimicrobial use farms (28.2 genes ± 4.2 vs. 24.0 genes ± 4.1 and 22.8 genes ± 3.6, respectively, p < 0.05). A principal component analysis and hierarchical clustering of the AMR gene data showed the extensive use farm samples were disparate from the limited and no antimicrobial use farms. The prevalence of resistance genes in extensive use farms was significantly higher than the other farm categories for 18 resistance genes including bla(SHV), bla(CTX–M1) group, bla(CTX–M9) group, bla(VEB), bla(CMY2–LAT,) aac(6′)-lb-cr, qnrB1, gyrA83L-E. coli, armA, rmtB, aac(3)-IIa, mphA, 23S rRNA 2075G-Campylobacter spp., mcr-1, catA1, floR, dfrA5-14, and dfrA17. These genotypic findings were supported by phenotypic susceptibility results on fecal E. coli isolates. To examine the timing of AMR gene abundance in swine farms, we also performed a longitudinal study in pigs. The results showed that AMR prevalence occurred both early, presumably from mothers, as well as after weaning, presumably from the environment. In summary, detection of AMR genes directly in fecal samples can be used to qualitatively and quantitatively monitor AMR in swine farms. Frontiers Media S.A. 2020-06-17 /pmc/articles/PMC7311580/ /pubmed/32625181 http://dx.doi.org/10.3389/fmicb.2020.01238 Text en Copyright © 2020 Pholwat, Pongpan, Chinli, Rogawski McQuade, Thaipisuttikul, Ratanakorn, Liu, Taniuchi, Houpt and Foongladda. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Pholwat, Suporn
Pongpan, Tawat
Chinli, Rattapha
Rogawski McQuade, Elizabeth T.
Thaipisuttikul, Iyarit
Ratanakorn, Parntep
Liu, Jie
Taniuchi, Mami
Houpt, Eric R.
Foongladda, Suporn
Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title_full Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title_fullStr Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title_full_unstemmed Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title_short Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
title_sort antimicrobial resistance in swine fecal specimens across different farm management systems
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311580/
https://www.ncbi.nlm.nih.gov/pubmed/32625181
http://dx.doi.org/10.3389/fmicb.2020.01238
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