Abstract

The emergence and spread of anthelmintic resistance represent a major challenge for treating parasitic nematodes, threatening mass-drug control programs in humans and zoonotic species. Currently, experimental evidence to understand the influence of management (e.g., treatment intensity and frequency) and parasite-associated factors (e.g., genetic variation, population size and mutation rates) is lacking. To rectify this knowledge gap, we performed controlled evolution experiments with the model nematode Caenorhabditis elegans and further evaluated the evolution dynamics with a computational model. Large population size was critical for rapid ivermectin resistance evolution in vitro and in silico. Male nematodes were favored during resistance evolution, indicating a selective advantage of sexual recombination under drug pressure in vitro. Ivermectin resistance evolution led to the expected emergence of cross-resistance to the structurally related anthelmintic moxidectin but unexpectedly also to the structurally unrelated anthelmintic emodepside that has an entirely different mode of action. In contrast, albendazole, levamisole, and monepantel efficacy were not influenced by the evolution of Ivermectin resistance. We conclude that combining computational modeling with in vitro evolution experiments to test specific aspects of evolution directly represents a promising approach to guide the development of novel treatment strategies to anticipate and mitigate resistance evolution in parasitic nematodes.

Competing Interest Statement

The authors have declared no competing interest.

Details

Title
Evolution of ivermectin resistance in the nematode model Caenorhabditis elegans: critical influence of population size and unexpected cross-resistance to emodepside
Author
Hellinga, Jacqueline; Trubenova, Barbora; Wagner, Jessica; Regoes, Roland R; Krucken, Jurgen; Schulenburg, Hinrich; Georg Von Samson-Himmelstjerna
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2024
Publication date
Dec 6, 2024
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
3141682316
Copyright
© 2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.