A mixed amplicon metabarcoding and sequencing approach for surveillance of drug resistance to levamisole and benzimidazole inHaemonchusspp

Abstract

AbstractAnthelmintic 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 described a mixed deep amplicon sequencing approach to determine the frequency of the levamisole (LEV) resistant single nucleotide polymorphism (SNP) withinarc-8 exon 4 (S168T) inHaemonchusspp., coupled with benzimidazole (BZ) resistance SNPs withinβ-tubulinisotype-1 and ITS-2 nemabiome. This constitutes the first 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 ofHaemonchusspp. populations from sheep and goats, but rarely at a frequency greater than 16%; an arbitrary threshold we set based on whole genome sequencing of LEV resistantH. contortusGWBII. Overall, BZ resistance was far more prevalent inHaemonchusspp. than LEV resistance, confirming that LEV is still an important anthelmintic class for small ruminants in New South Wales. 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.