Detection of rare antimicrobial resistance profiles by active and passive surveillance approaches

Mather, A. E., Reeve, R. , Mellor, D. J. , Matthews, L. , Reid-Smith, R. J., Dutil, L., Haydon, D. T. and Reid, S. W.J. (2016) Detection of rare antimicrobial resistance profiles by active and passive surveillance approaches. PLoS ONE, 11(7), e0158515. (doi: 10.1371/journal.pone.0158515) (PMID:27391966) (PMCID:PMC4938605)

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Abstract

Antimicrobial resistance (AMR) surveillance systems are generally not specifically designed to detect emerging resistances and usually focus primarily on resistance to individual drugs. Evaluating the diversity of resistance, using ecological metrics, allows the assessment of sampling protocols with regard to the detection of rare phenotypes, comprising combinations of resistances. Surveillance data of phenotypic AMR of Canadian poultry Salmonella Heidelberg and swine Salmonella Typhimurium var. 5- were used to contrast active (representative isolates derived from healthy animals) and passive (diagnostic isolates) surveillance and assess their suitability for detecting emerging resistance patterns. Although in both datasets the prevalences of resistance to individual antimicrobials were not significantly different between the two surveillance systems, analysis of the diversity of entire resistance phenotypes demonstrated that passive surveillance of diagnostic isolates detected more unique phenotypes. Whilst the most appropriate surveillance method will depend on the relevant objectives, under the conditions of this study, passive surveillance of diagnostic isolates was more effective for the detection of rare and therefore potentially emerging resistance phenotypes.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Haydon, Professor Daniel and Reeve, Professor Richard and Mellor, Professor Dominic and Matthews, Professor Louise and Reid, Professor Stuart
Authors: Mather, A. E., Reeve, R., Mellor, D. J., Matthews, L., Reid-Smith, R. J., Dutil, L., Haydon, D. T., and Reid, S. W.J.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN:1932-6203
ISSN (Online):1932-6203
Published Online:08 July 2016
Copyright Holders:Copyright © 2016 Mather AE, Reeve R, Mellor DJ, Matthews L, Reid-Smith RJ, Dutil L, et al.
First Published:First published in PLoS ONE 11(7):e0158515
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
437231Predicting immunological cross-reactivity - from genotype to antigenic phenotypeDaniel HaydonBiotechnology and Biological Sciences Research Council (BBSRC)BB/E010326/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED
629831The influence of selective breeding on MHC diversityMichael StearBiotechnology and Biological Sciences Research Council (BBSRC)BB/L004070/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED
569671Ecological and socioeconomic factors impacting maintenance and dissemination of antibiotic resistance in the Greater Serengeti EcosystemLouise MatthewsBiotechnology and Biological Sciences Research Council (BBSRC)BB/K01126X/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED
629831The influence of selective breeding on MHC diversityMichael StearBiotechnology and Biological Sciences Research Council (BBSRC)BB/L004070/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED
468351The effect of selection for nematode resistance on mhc class II diversiityMichael StearBiotechnology and Biological Sciences Research Council (BBSRC)BB/F015313/1III - PARASITOLOGY
553701A Systems Biology Approach to controlling Nematode Infections of LivestockMichael StearEuropean Commission (EC)PITN-GA-2010-26III - PARASITOLOGY