Evidence map›Paper›PMID 39903106›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Engineering drive-selection balance for localized population suppression with neutral dynamics.

Katie Willis, Austin Burt

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. 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
  6. 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.

Katie WillisDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, Silwood Park, Ascot SL57PY, United Kingdom.ORCID 0000-0001-5016-2380
Austin BurtDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, Silwood Park, Ascot SL57PY, United Kingdom.ORCID 0000-0001-5146-9640

Funding

Bill and Melinda Gates Foundation (GF) INV006610Gates Foundation INV-006610Open Philanthropy Project O-771557 & 2016-161185
6 · The paper itself

Abstract

While the release of sterile males has been highly successful in suppressing some pest populations, it is impractical for many species due to the males disappearing after a single generation, necessitating large, repeated releases to maintain sufficient impact. Synthetic gene drives promise more efficient approaches since they can increase in frequency from rare, yet this also allows them to spread across a landscape, which may not always be desired. Between these two extremes are selectively neutral genetic constructs which persist at the frequency they are released, offering the potential for efficient suppression that remains localized. One way to achieve this would be to have perfect balance, at all construct frequencies, between gene drive increasing frequency and selection decreasing it. Here, we describe a way to closely approximate this balance using a toxin-antidote genetic construct that causes recessive lethality or sterility, encodes a genomic editor that makes dominant lethal or sterile edits in the genome, and provides protection against the action or consequences of the editing. Computer modeling shows that this design can be 100-fold more efficient than sterile males, increasing to 1,000-fold when released alongside a genetic booster. We describe designs for CRISPR-based molecular construction, including options that avoid using recoded genes as antidotes.

Indexed as

Gene Drive TechnologyPest Control, BiologicalSelection, GeneticAnimalsComputer SimulationGene EditingMalePopulation Dynamicsdrive—selection balancegenetic biocontrolpopulation genetic engineeringpopulation suppression

Identifiers

PMID39903106
PMCPMC11831207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.