Evidence map›Paper›PMID 40036822›Full record

ArticleMolecular biology and evolution2025

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

Yue Han, Jackson Champer

Abstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Spatial Dynamics and Sterilization Range of IncompatibleTropical medicine and infectious disease · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Engineering drive-selection balance for localized population suppression with neutral dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yue HanCenter for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0009-0001-0953-176X
Jackson ChamperCenter for Bioinformatics, Center for Life Sciences, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-3814-3774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Pest Control, BiologicalAnimalsComputer SimulationFemaleGene Drive TechnologyGenetic FitnessInsectaMaleModels, Geneticgenetic loadgenetic pest controlmodelingRIDLself-limiting gene driveSIT

Identifiers

PMID40036822
PMCPMC11934067

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.