Evolution of Ivermectin Resistance in the Nematode Model Caenorhabditis elegans: Critical Influence of Population Size and Altered Emodepside Efficacy.

IF 3.2 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Evolutionary Applications Pub Date : 2026-04-24 eCollection Date: 2026-04-01 DOI:10.1111/eva.70241
Jacqueline Hellinga, Barbora Trubenova, Jessica Wagner, Marc Borchert, Jürgen Krücken, Roland R Regoes, Hinrich Schulenburg, Georg von Samson-Himmelstjerna
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Abstract

The emergence and spread of anthelmintic resistance represent a major challenge for treating parasitic nematodes, threatening mass-drug administration control programs in humans and zoonotic hosts. Currently, experimental evidence to understand the influence of management (e.g., treatment dose and frequency) and parasite-associated factors (e.g., genetic variation, population size and mutation rates) is scarce. 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 nematode production was favored during resistance evolution, suggesting a selective advantage of sexual recombination under drug pressure in vitro. Evolution of ivermectin resistance led to reduced efficacy of the structurally related anthelmintic moxidectin, as anticipated, as well as reduced efficacy of the structurally unrelated anthelmintic emodepside, which has a distinct 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.

模型秀丽隐杆线虫对伊维菌素耐药性的进化:种群规模和改变的emodepide功效的关键影响。
驱虫耐药性的出现和传播是治疗寄生虫的主要挑战,威胁到人类和人畜共患病宿主的大规模药物管理控制计划。目前,了解管理(例如,治疗剂量和频率)和寄生虫相关因素(例如,遗传变异、种群规模和突变率)的影响的实验证据很少。为了弥补这一知识差距,我们对模型线虫秀丽隐杆线虫进行了控制进化实验,并通过计算模型进一步评估了进化动力学。大的种群规模对体外和计算机实验中伊维菌素耐药性的快速进化至关重要。雄性线虫的产生在耐药性进化过程中更受青睐,这表明体外药物压力下有性重组具有选择性优势。正如预期的那样,伊维菌素耐药性的进化导致与结构相关的驱虫药莫西菌素的功效降低,以及与结构无关的驱虫药emodepside的功效降低,emodepside具有不同的作用方式。相比之下,阿苯达唑、左旋咪唑和莫奈班特的疗效不受伊维菌素耐药性演变的影响。我们得出结论,将计算建模与体外进化实验相结合,直接测试进化的特定方面,代表了一种有希望的方法,可以指导开发新的治疗策略,以预测和减轻寄生线虫的抗性进化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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