Cargando…
A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns
New Canadian regulations have required that all use of antibiotics in livestock animal production should be under veterinary prescription and oversight, while the prophylactic use and inclusion of these agents in animal feed as growth promoters are also banned. In response to this new rule, many Can...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530205/ https://www.ncbi.nlm.nih.gov/pubmed/33033582 http://dx.doi.org/10.1016/j.csbj.2020.09.012 |
_version_ | 1783589522156552192 |
---|---|
author | Chekabab, Samuel M. Lawrence, John R. Alvarado, Alvin Predicala, Bernardo Korber, Darren R. |
author_facet | Chekabab, Samuel M. Lawrence, John R. Alvarado, Alvin Predicala, Bernardo Korber, Darren R. |
author_sort | Chekabab, Samuel M. |
collection | PubMed |
description | New Canadian regulations have required that all use of antibiotics in livestock animal production should be under veterinary prescription and oversight, while the prophylactic use and inclusion of these agents in animal feed as growth promoters are also banned. In response to this new rule, many Canadian animal producers have voluntarily implemented production practices aimed at producing animals effectively while avoiding the use of antibiotics. In the swine industry, one such program is the ‘raised without antibiotics’ (RWA) program. In this paper, we describe a comprehensive investigative methodology comparing the effect of the adoption of the RWA approach with non-RWA pig production operations where antibiotics may still be administered on animals as needed. Our experimental approach involves a multi-year longitudinal investigation of pig farming to determine the effects of antibiotic usage on the prevalence of antimicrobial resistance (AMR) and pathogen abundance in the context of the drug exposures recorded in the RWA versus non-RWA scenarios. Surveillance of AMR and pathogens was conducted using whole-genome sequencing (WGS) in conjunction with open source tools and data pipeline analyses, which inform on the resistome, virulome and bacterial diversity in animals and materials associated with the different types of barns. This information was combined and correlated with drug usage (types and amounts) over time, along with animal health metadata (stage of growth, reason for drug use, among others). The overarching goal was to develop a set of interconnected informatic tools and data management procedures wherein specific queries could be made and customized, to reveal statistically valid cause/effect relationships. Results demonstrating possible correlations between RWA and AMR would support the Canadian pig industry, as well as regulatory agencies in new efforts, focused on reducing overall antibiotics use and in curbing the development and spread of AMR related to animal agriculture. |
format | Online Article Text |
id | pubmed-7530205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-75302052020-10-07 A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns Chekabab, Samuel M. Lawrence, John R. Alvarado, Alvin Predicala, Bernardo Korber, Darren R. Comput Struct Biotechnol J Research Article New Canadian regulations have required that all use of antibiotics in livestock animal production should be under veterinary prescription and oversight, while the prophylactic use and inclusion of these agents in animal feed as growth promoters are also banned. In response to this new rule, many Canadian animal producers have voluntarily implemented production practices aimed at producing animals effectively while avoiding the use of antibiotics. In the swine industry, one such program is the ‘raised without antibiotics’ (RWA) program. In this paper, we describe a comprehensive investigative methodology comparing the effect of the adoption of the RWA approach with non-RWA pig production operations where antibiotics may still be administered on animals as needed. Our experimental approach involves a multi-year longitudinal investigation of pig farming to determine the effects of antibiotic usage on the prevalence of antimicrobial resistance (AMR) and pathogen abundance in the context of the drug exposures recorded in the RWA versus non-RWA scenarios. Surveillance of AMR and pathogens was conducted using whole-genome sequencing (WGS) in conjunction with open source tools and data pipeline analyses, which inform on the resistome, virulome and bacterial diversity in animals and materials associated with the different types of barns. This information was combined and correlated with drug usage (types and amounts) over time, along with animal health metadata (stage of growth, reason for drug use, among others). The overarching goal was to develop a set of interconnected informatic tools and data management procedures wherein specific queries could be made and customized, to reveal statistically valid cause/effect relationships. Results demonstrating possible correlations between RWA and AMR would support the Canadian pig industry, as well as regulatory agencies in new efforts, focused on reducing overall antibiotics use and in curbing the development and spread of AMR related to animal agriculture. Research Network of Computational and Structural Biotechnology 2020-09-20 /pmc/articles/PMC7530205/ /pubmed/33033582 http://dx.doi.org/10.1016/j.csbj.2020.09.012 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Chekabab, Samuel M. Lawrence, John R. Alvarado, Alvin Predicala, Bernardo Korber, Darren R. A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title | A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title_full | A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title_fullStr | A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title_full_unstemmed | A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title_short | A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns |
title_sort | health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in canadian hog barns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530205/ https://www.ncbi.nlm.nih.gov/pubmed/33033582 http://dx.doi.org/10.1016/j.csbj.2020.09.012 |
work_keys_str_mv | AT chekababsamuelm ahealthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT lawrencejohnr ahealthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT alvaradoalvin ahealthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT predicalabernardo ahealthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT korberdarrenr ahealthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT chekababsamuelm healthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT lawrencejohnr healthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT alvaradoalvin healthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT predicalabernardo healthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns AT korberdarrenr healthmetadatabasedmanagementapproachforcomparativeanalysisofhighthroughputgeneticsequencesforquantifyingantimicrobialresistancereductionincanadianhogbarns |