Evidence map›Paper›PMID 33404162›Full record

ArticleMolecular ecology2021

Suppression gene drive in continuous space can result in unstable persistence of both drive and wild-type alleles.

Jackson Champer, Isabel K Kim, Samuel E Champer, Andrew G Clark, Philipp W Messer

Open access · greenAbstract read
In one paragraph

Article in Molecular ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
14.9field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 126 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. Modeling Control of Invasive Fire Ants by Gene Drive.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Predicting the invasiveness of threshold-dependent gene drives.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Article
  16. Resource-explicit interactions in spatial population models.Methods in ecology and evolution · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Parental-effect gene-drive elements under partial selfing, or why dobioRxiv : the preprint server for biology · 2024
    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

5 authors at 1 institution in 1 country.

Jackson ChamperDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-3814-3774
Isabel K KimDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.
Samuel E ChamperDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.
Andrew G ClarkDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.
Philipp W MesserDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.
Cornell University · US

Funding

Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
Evolutionary dynamics of CRISPR gene drives in natural populationsR01GM127418 · NIGMS · CORNELL UNIVERSITY · PI MESSER, PHILIPP W · 2018 to 2022
$1.6M
Improving the efficiency and control of CRISPR/Cas9 gene drive systemsR21AI130635 · NIAID · CORNELL UNIVERSITY · PI CLARK, ANDREW G, MESSER, PHILIPP W · 2017 to 2018
$431k
Dynamics of Gene Drives in Natural PopulationsF32AI138476 · NIAID · CORNELL UNIVERSITY · PI CHAMPER, JACKSON · 2018 to 2020
$192k
NIAID NIH HHS F32 AI138476NIAID NIH HHS R21 AI130635NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R01 GM127418
6 · The paper itself

Abstract

Rapid evolutionary processes can produce drastically different outcomes when studied in panmictic population models vs. spatial models. One such process is gene drive, which describes the spread of "selfish" genetic elements through a population. Engineered gene drives are being considered for the suppression of disease vectors or invasive species. While laboratory experiments and modelling in panmictic populations have shown that such drives can rapidly eliminate a population, it remains unclear if these results translate to natural environments where individuals inhabit a continuous landscape. Using spatially explicit simulations, we show that the release of a suppression drive can result in what we term "chasing" dynamics, in which wild-type individuals recolonize areas where the drive has locally eliminated the population. Despite the drive subsequently reconquering these areas, complete population suppression often fails to occur or is substantially delayed. This increases the likelihood that the drive is lost or that resistance evolves. We analyse how chasing dynamics are influenced by the type of drive, its efficiency, fitness costs, and ecological factors such as the maximal growth rate of the population and levels of dispersal and inbreeding. We find that chasing is more common for lower efficiency drives when dispersal is low and that some drive mechanisms are substantially more prone to chasing behaviour than others. Our results demonstrate that the population dynamics of suppression gene drives are determined by a complex interplay of genetic and ecological factors, highlighting the need for realistic spatial modelling to predict the outcome of drive releases in natural populations.

Indexed as

Gene Drive TechnologyAllelesDisease VectorsHumansModels, GeneticPopulation Dynamicsbiotechnologyecological geneticsgenetically modified organismspopulation dynamicspopulation ecologypopulation genetics - theoretical

Identifiers

PMID33404162
PMCPMC7887089
OpenAlexW3120075138

What OpenQuestion holds

Textmetadata
LicenceTDM
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.