Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems

© Copyright © 2020 Pholwat, Pongpan, Chinli, Rogawski McQuade, Thaipisuttikul, Ratanakorn, Liu, Taniuchi, Houpt and Foongladda. Antimicrobial use in agricultural animals is known to be associated with increases in antimicrobial resistance. Most prior studies have utilized culture and susceptibility...

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Main Authors: Suporn Pholwat, Tawat Pongpan, Rattapha Chinli, Elizabeth T. Rogawski McQuade, Iyarit Thaipisuttikul, Parntep Ratanakorn, Jie Liu, Mami Taniuchi, Eric R. Houpt, Suporn Foongladda
Other Authors: University of Virginia
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Published: 2020
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/57964
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spelling th-mahidol.579642020-08-25T17:35:39Z Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems Suporn Pholwat Tawat Pongpan Rattapha Chinli Elizabeth T. Rogawski McQuade Iyarit Thaipisuttikul Parntep Ratanakorn Jie Liu Mami Taniuchi Eric R. Houpt Suporn Foongladda University of Virginia Mahidol University Faculty of Medicine, Siriraj Hospital, Mahidol University Swine Veterinarian Service Immunology and Microbiology Medicine © Copyright © 2020 Pholwat, Pongpan, Chinli, Rogawski McQuade, Thaipisuttikul, Ratanakorn, Liu, Taniuchi, Houpt and Foongladda. 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 blaSHV, blaCTX–M1 group, blaCTX–M9 group, blaVEB, blaCMY2–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. 2020-08-25T10:05:20Z 2020-08-25T10:05:20Z 2020-06-17 Article Frontiers in Microbiology. Vol.11, (2020) 10.3389/fmicb.2020.01238 1664302X 2-s2.0-85087162789 https://repository.li.mahidol.ac.th/handle/123456789/57964 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087162789&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Immunology and Microbiology
Medicine
spellingShingle Immunology and Microbiology
Medicine
Suporn Pholwat
Tawat Pongpan
Rattapha Chinli
Elizabeth T. Rogawski McQuade
Iyarit Thaipisuttikul
Parntep Ratanakorn
Jie Liu
Mami Taniuchi
Eric R. Houpt
Suporn Foongladda
Antimicrobial Resistance in Swine Fecal Specimens Across Different Farm Management Systems
description © Copyright © 2020 Pholwat, Pongpan, Chinli, Rogawski McQuade, Thaipisuttikul, Ratanakorn, Liu, Taniuchi, Houpt and Foongladda. 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 blaSHV, blaCTX–M1 group, blaCTX–M9 group, blaVEB, blaCMY2–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.
author2 University of Virginia
author_facet University of Virginia
Suporn Pholwat
Tawat Pongpan
Rattapha Chinli
Elizabeth T. Rogawski McQuade
Iyarit Thaipisuttikul
Parntep Ratanakorn
Jie Liu
Mami Taniuchi
Eric R. Houpt
Suporn Foongladda
format Article
author Suporn Pholwat
Tawat Pongpan
Rattapha Chinli
Elizabeth T. Rogawski McQuade
Iyarit Thaipisuttikul
Parntep Ratanakorn
Jie Liu
Mami Taniuchi
Eric R. Houpt
Suporn Foongladda
author_sort Suporn Pholwat
title 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_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_sort antimicrobial resistance in swine fecal specimens across different farm management systems
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/57964
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