Evidence map›Paper›PMID 31191905›Full record

ArticleEvolution, medicine, and public health2019

Gene-drive-mediated extinction is thwarted by population structure and evolution of sib mating.

James J Bull, Christopher H Remien, Stephen M Krone

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Mapping Gene Drive Dynamics onto Mendelian Models.bioRxiv : the preprint server for biology · 2026
    Article
  4. Modeling Control of Invasive Fire Ants by Gene Drive.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Parental-effect gene-drive elements under partial selfing, or why dobioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. eLife · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

James J BullDepartment of Integrative Biology, University of Texas, Austin, TX, USA.
Christopher H RemienDepartment of Mathematics, University of Idaho, Moscow, ID, USA.
Stephen M KroneDepartment of Mathematics, University of Idaho, Moscow, ID, USA.

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI WICHMAN, HOLLY A · 2015 to 2024
$22.9M
COLLABORATIVE RESEARCH: A MATHEMATICAL THEORY OF TRANSMISSIBLE VACCINES R01GM122079 · NIGMS · UNIVERSITY OF IDAHO · PI SCOTT L NUISMER · 2016 to 2026
$2.2M
NIGMS NIH HHS P20 GM104420NIGMS NIH HHS R01 GM122079
6 · The paper itself

Abstract

BACKGROUND AND

objectivesGenetic engineering combined with CRISPR technology has developed to the point that gene drives can, in theory, be engineered to cause extinction in countless species. Success of extinction programs now rests on the possibility of resistance evolution, which is largely unknown. Depending on the gene-drive technology, resistance may take many forms, from mutations in the nuclease target sequence (e.g. for CRISPR) to specific types of non-random population structures that limit the drive (that may block potentially any gene-drive technology). METHODOLOGY: We develop mathematical models of various deviations from random mating to consider escapes from extinction-causing gene drives. A main emphasis here is sib mating in the face of recessive-lethal and Y-chromosome drives.

resultsSib mating easily evolves in response to both kinds of gene drives and maintains mean fitness above 0, with equilibrium fitness depending on the level of inbreeding depression. Environmental determination of sib mating (as might stem from population density crashes) can also maintain mean fitness above 0. A version of Maynard Smith's haystack model shows that pre-existing population structure can enable drive-free subpopulations to be maintained against gene drives. CONCLUSIONS AND IMPLICATIONS: Translation of mean fitness into population size depends on ecological details, so understanding mean fitness evolution and dynamics is merely the first step in predicting extinction. Nonetheless, these results point to possible escapes from gene-drive-mediated extinctions that lie beyond the control of genome engineering. LAY SUMMARY: Recent gene drive technologies promise to suppress and even eradicate pests and disease vectors. Simple models of gene-drive evolution in structured populations show that extinction-causing gene drives can be thwarted both through the evolution of sib mating as well as from purely demographic processes that cluster drive-free individuals.

Indexed as

evolutionfitnessgenome engineeringpopulation geneticsselfish gene

Identifiers

PMID31191905
PMCPMC6556056

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Registered trials

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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.