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Modelling the development of anthelmintic resistance in cyathostomin parasites: The importance of genetic and fitness parameters.

Authors :
Sauermann CW
Nielsen MK
Luo D
Leathwick DM
Source :
Veterinary parasitology [Vet Parasitol] 2019 May; Vol. 269, pp. 28-33. Date of Electronic Publication: 2019 Apr 17.
Publication Year :
2019

Abstract

Previously described models for the free-living and parasitic phases of the cyathostomin life-cycle were combined into a single model for the complete life-cycle. The model simulates a single free-living population on pasture utilising parasite egg output from the horses and localised temperature and rainfall data to estimate infective larval density on herbage. Multiple horses of different ages are possible, each with an individualised anthelmintic treatment programme. Genotypes for anthelmintic resistance are included allowing for up to three resistance genes with 2 alleles each. Because little is known of the genetics of resistance to anthelmintics in cyathostomins, the first use of this model was to compare the effect of different assumptions regarding the inheritance of resistance on model outputs. Comparisons were made between single and two-gene inheritance, where the heterozygote survival was dominant, intermediate or recessive under treatment, and with or without a fitness disadvantage associated with the resistance mechanism. Resistance developed fastest when the heterozygotes survived anthelmintic treatment (i.e., were dominant) and slowest when they did not (i.e., were recessive). Resistance was slower to develop when inheritance was poly-genic compared to a single gene, and when there was a fitness cost associated with the resistance mechanism, although the latter variable was the least influential. Importantly, while these genetic factors sometimes had a large influence on the rate at which resistant genotypes built up in the model populations, their order of ranking was always the same, when different anthelmintic use strategies were compared. Therefore, the described model is a useful tool for evaluating different treatment and management strategies on their potential to select for resistance.<br /> (Copyright © 2019 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-2550
Volume :
269
Database :
MEDLINE
Journal :
Veterinary parasitology
Publication Type :
Academic Journal
Accession number :
31079825
Full Text :
https://doi.org/10.1016/j.vetpar.2019.04.007