Ecology of Gene Drives: The Role of Density-Dependent Feedbacks on the Efficacy and Dynamics of Two-Locus Underdominance Gene Drive Systems

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2025-03-06 DOI:10.1111/eva.70079
Ziqian Xu, Michael B. Bonsall
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Abstract

Density dependence describes the regulation of population growth rate by population density. This process is widely observed in insect populations, including vectors such as mosquitoes and agricultural pests that are targets of genetic biocontrol using gene drive technologies. While there continues to be rapid advancement in gene drive molecular design, most studies prioritise gene drive efficacy over ecology, and the role of density-dependent feedback on gene drives remains neglected. Furthermore, the details of density dependence experienced in these potential species of interest are usually poorly understood, creating additional constraints and challenges in evaluating the efficacy and efficiency of gene drive systems, especially those that promise local confinement after release. Here, we formulate and analyse a simple, non-species-specific mathematical model which integrates population dynamics by density dependence together with population genetics of a high-threshold two-locus underdominance system. Different models of density dependence and strengths of within-species competition are investigated alongside other genetic and ecological parameters. Our results suggest that for an underdominance gene drive system, density dependence processes, by acting on births or deaths, influence the population dynamics by leading to significantly different population-level suppression in the presence of a fitness cost. However, density dependence does not directly affect the fitness cost threshold for drive establishment. Moreover, we find that the magnitude and range of key ecological parameters (birth and death rates) could result in different outcomes depending on the type of density dependence employed. Our work highlights the importance of considering the ecological contexts in the design, development and deployment of gene drive molecular strategies.

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密度依赖性描述了种群密度对种群增长率的调节作用。这一过程在昆虫种群中被广泛观察到,包括蚊子等媒介和农业害虫,它们都是利用基因驱动技术进行基因生物控制的目标。虽然基因驱动分子设计的发展日新月异,但大多数研究都将基因驱动的功效置于生态学之上,密度依赖性反馈对基因驱动的作用仍被忽视。此外,人们通常对这些潜在物种所经历的密度依赖性细节知之甚少,这给评估基因驱动系统(尤其是那些承诺释放后进行局部限制的系统)的功效和效率带来了更多限制和挑战。在这里,我们建立并分析了一个简单的、非物种特异性的数学模型,该模型将密度依赖性的种群动力学与高阈值双焦点劣势系统的种群遗传学结合在一起。研究了不同的密度依赖模型和种内竞争强度,以及其他遗传和生态参数。我们的研究结果表明,对于下优势基因驱动系统,密度依赖过程通过作用于出生或死亡,影响种群动态,在存在适应成本的情况下导致显著不同的种群水平抑制。然而,密度依赖并不直接影响驱动建立的适应度成本阈值。此外,我们还发现,关键生态参数(出生率和死亡率)的大小和范围会因采用的密度依赖类型不同而导致不同的结果。我们的研究强调了在设计、开发和部署基因驱动分子策略时考虑生态环境的重要性。
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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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