A Comparative Assessment of Self-limiting Genetic Control Strategies for Population Suppression

Genetic control strategies are promising solutions for control of pest populations and invasive species. Methods utilizing repeated releases of males such as sterile insect technique (SIT), release of insects carrying a dominant lethal (RIDL), self-limiting gene drives, and gene disruptors are highly controllable methods, ensuring biosafety. Although models of these strategies have been built, detailed comparisons are lacking, particularly for some of the newer strategies. Here, we conducted a thorough comparative assessment of self-limiting genetic control strategies by individual-based simulation models. Specifically, we find that repeated releases greatly enhance suppression power of weak and self-limiting gene drives, enabling population elimination with even low efficiency and high fitness costs. Moreover, dominant female sterility further strengthens self-limiting systems that can either use gene drive or disruptors that target genes without a mechanism to bias their own inheritance. Some of these strategies are highly persistent, resulting in relatively low release ratios even when released males suffer high fitness costs. To quantitatively evaluate different strategies independent from ecological impact, we proposed constant-population genetic load, which achieves over 95% accuracy in predicting simulation outcomes for most strategies, though it is not as precise in a few frequency-dependent systems. Our results suggest that many new self-limiting strategies are safe, flexible, and more cost-effective than traditional SIT and RIDL, and thus have great potential for population suppression of insects and other pests.

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Publication Details

Journal
Molecular Biology and Evolution
Published
2025-02-27
DOI
https://doi.org/10.1093/molbev/msaf048
Citations
17
Primary Topic
Insect behavior and control techniques
Type
article
Field-Weighted Citation Impact
28.43
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article

A Comparative Assessment of Self-limiting Genetic Control Strategies for Population Suppression

Jackson Champer, Yue Han
17 citations
Molecular Biology and Evolution
Insect behavior and control techniques
28.43
article

A Comparative Assessment of Self-limiting Genetic Control Strategies for Population Suppression

Jackson Champer, Yue Han
article en
17 citations

Abstract

Genetic control strategies are promising solutions for control of pest populations and invasive species. Methods utilizing repeated releases of males such as sterile insect technique (SIT), release of insects carrying a dominant lethal (RIDL), self-limiting gene drives, and gene disruptors are highly controllable methods, ensuring biosafety. Although models of these strategies have been built, detailed comparisons are lacking, particularly for some of the newer strategies. Here, we conducted a thorough comparative assessment of self-limiting genetic control strategies by individual-based simulation models. Specifically, we find that repeated releases greatly enhance suppression power of weak and self-limiting gene drives, enabling population elimination with even low efficiency and high fitness costs. Moreover, dominant female sterility further strengthens self-limiting systems that can either use gene drive or disruptors that target genes without a mechanism to bias their own inheritance. Some of these strategies are highly persistent, resulting in relatively low release ratios even when released males suffer high fitness costs. To quantitatively evaluate different strategies independent from ecological impact, we proposed constant-population genetic load, which achieves over 95% accuracy in predicting simulation outcomes for most strategies, though it is not as precise in a few frequency-dependent systems. Our results suggest that many new self-limiting strategies are safe, flexible, and more cost-effective than traditional SIT and RIDL, and thus have great potential for population suppression of insects and other pests.

Molecular Biology and EvolutionVol. 42(3)
Peking University (CN), Center for Life Sciences (CN), Tsinghua University (CN)
Openalex Percentile: Top 0%
Insect behavior and control techniques
28.43
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