Deep amplicon sequencing as a powerful new tool to screen for sequence polymorphisms associated with anthelmintic resistance in parasitic nematode populations.


Journal

International journal for parasitology
ISSN: 1879-0135
Titre abrégé: Int J Parasitol
Pays: England
ID NLM: 0314024

Informations de publication

Date de publication:
01 2019
Historique:
received: 05 08 2018
revised: 09 10 2018
accepted: 16 10 2018
pubmed: 25 11 2018
medline: 18 12 2019
entrez: 25 11 2018
Statut: ppublish

Résumé

Parasitic gastrointestinal nematodes contribute to significant human morbidity and cause billions of dollars per year in lost agricultural production. Control is dependent on the use of anthelmintic drugs which, in the case of livestock parasites, is severely compromised by the widespread development of drug resistance. There are now concerns regarding the emergence of anthelmintic resistance in parasitic nematodes of humans in response to the selection pressure resulting from mass drug administration programs. Consequently, there is an urgent need for sensitive, scalable and accurate diagnostic tools to detect the emergence of anthelmintic resistance. Detecting and measuring the frequency of resistance-associated mutations in parasite populations has the potential to provide sensitive and quantitative assessment of resistance emergence from an early stage. Here, we describe the development and validation of deep amplicon sequencing as a powerful new approach to detect and quantify the frequency of single nucleotide polymorphisms associated with benzimidazole resistance. We have used parasite communities in sheep to undertake a proof-of-concept study of this approach. Sheep provide an excellent host system, as there are multiple co-infecting trichostrongylid nematode species, each likely with a varying prevalence of benzimidazole resistance. We demonstrate that the approach provides an accurate measure of resistance allele frequencies, and can reliably detect resistance alleles down to a frequency of 0.1%, making it particularly valuable for screening mutations in the early stages of resistance. We illustrate the power of the technique by screening UK sheep flocks for benzimidazole resistance-associated single nucleotide polymorphisms at three different codons of the β-tubulin gene in seven different parasite species from 164 populations (95 from ewes and 69 from lambs) in a single MiSeq sequencing run. This approach provides a powerful new tool to screen for the emergence of anthelmintic resistance mutations in parasitic nematode populations of both animals and humans.

Identifiants

pubmed: 30471287
pii: S0020-7519(18)30281-9
doi: 10.1016/j.ijpara.2018.10.005
pii:
doi:

Substances chimiques

Anthelmintics 0
Benzimidazoles 0
Tubulin 0
benzimidazole E24GX49LD8

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13-26

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/EO18505/1
Pays : United Kingdom

Informations de copyright

Copyright © 2018. Published by Elsevier Ltd.

Auteurs

Russell W Avramenko (RW)

Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada.

Elizabeth M Redman (EM)

Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada.

Lynsey Melville (L)

Department of Disease Control, Moredun Research Institute, Penicuik, United Kingdom.

Yvonne Bartley (Y)

Department of Vaccines, Moredun Research Institute, Pentlands Science Park, Penicuik, United Kingdom.

Janneke Wit (J)

Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada.

Camila Queiroz (C)

Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada.

Dave J Bartley (DJ)

Department of Disease Control, Moredun Research Institute, Penicuik, United Kingdom.

John S Gilleard (JS)

Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada. Electronic address: jsgillea@ucalgary.ca.

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Classifications MeSH