A mixed amplicon metabarcoding and sequencing approach for surveillance of drug resistance to levamisole and benzimidazole in Haemonchus spp.

-tubulin ITS-2 Nemabiome Nematodes Ruminants Surveillance acr-8

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 Aug 2023
Historique:
received: 14 05 2023
revised: 10 07 2023
accepted: 13 07 2023
pubmed: 4 8 2023
medline: 4 8 2023
entrez: 3 8 2023
Statut: aheadofprint

Résumé

Anthelmintic-resistant parasitic nematodes present a significant threat to sustainable livestock production worldwide. The ability to detect the emergence of anthelmintic resistance at an early stage, and therefore determine which drugs remain most effective, is crucial for minimising production losses. Despite many years of research into the molecular basis of anthelmintic resistance, no molecular-based tools are commercially available for the diagnosis of resistance as it emerges in field settings. We describe a mixed deep amplicon sequencing approach to determine the frequency of the levamisole (LEV)-resistant single nucleotide polymorphism (SNP) within arc-8 exon 4 (S168T) in Haemonchus spp., coupled with benzimidazole (BZ)-resistant SNPs within β-tubulin isotype-1 and the internal transcribed spacer-2 (ITS-2) nemabiome. This constitutes the first known multi-drug and multi-species molecular diagnostic developed for helminths of veterinary importance. Of the ovine, bovine, caprine and camelid Australian field isolates we tested, S168T was detected in the majority of Haemonchus spp. populations from sheep and goats, but rarely at a frequency greater than 16%; an arbitrary threshold we set based on whole genome sequencing (WGS) of LEV-resistant Haemonchus contortus GWBII. Overall, BZ resistance was far more prevalent in Haemonchus spp. than LEV resistance, confirming that LEV is still an effective anthelmintic class for small ruminants in New South Wales, Australia. The mixed amplicon metabarcoding approach described herein paves the way towards the use of large scale sequencing as a surveillance technology in the field, the results of which can be translated into evidence-based recommendations for the livestock sector.

Identifiants

pubmed: 37536387
pii: S0020-7519(23)00170-4
doi: 10.1016/j.ijpara.2023.07.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Emily Kate Francis (EK)

Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, New South Wales 2006, Australia.

Alistair Antonopoulos (A)

School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G61 1QH Scotland, United Kingdom; Kreavet, Kruibeke, Belgium.

Mark Edward Westman (ME)

Elizabeth Macarthur Agricultural Institute, New South Wales Department of Primary Industries, Menangle, New South Wales 2568, Australia.

Janina McKay-Demeler (J)

Elizabeth Macarthur Agricultural Institute, New South Wales Department of Primary Industries, Menangle, New South Wales 2568, Australia.

Roz Laing (R)

School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G61 1QH Scotland, United Kingdom.

Jan Šlapeta (J)

Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, New South Wales 2006, Australia; The University of Sydney Institute for Infectious Diseases, New South Wales 2006, Australia. Electronic address: jan.slapeta@sydney.edu.au.

Classifications MeSH