Evidence map›Paper›PMID 29875820›Full record

ArticleEvolutionary applications2018

Invasion and migration of spatially self-limiting gene drives: A comparative analysis.

Sumit Dhole, Michael R Vella, Alun L Lloyd, Fred Gould

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Predicting the invasiveness of threshold-dependent gene drives.bioRxiv : the preprint server for biology · 2025
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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

4 authors.

Sumit DholeDepartment of Entomology and Plant Pathology North Carolina State University Raleigh NC USA.ORCID 0000-0003-0184-7118
Michael R VellaGenetic Engineering and Society Center North Carolina State University Raleigh NC USA.
Alun L LloydGenetic Engineering and Society Center North Carolina State University Raleigh NC USA.
Fred GouldDepartment of Entomology and Plant Pathology North Carolina State University Raleigh NC USA.

Funding

Combining Aedes aegypti genomics and modeling to improve gene drive strategies and our understanding of resistance evolutionR01AI139085 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GOULD, FRED · 2018 to 2022
$1.9M
Improving Robustness of a Tactical Model of Aedes/Dengue DynamicsR01AI091980 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GOULD, FRED · 2011 to 2014
$1.3M
NIAID NIH HHS R01 AI091980NIAID NIH HHS R01 AI139085
6 · The paper itself

Abstract

Recent advances in research on gene drives have produced genetic constructs that could theoretically spread a desired gene (payload) into all populations of a species, with a single release in one place. This attribute has advantages, but also comes with risks and ethical concerns. There has been a call for research on gene drive systems that are spatially and/or temporally self-limiting. Here, we use a population genetics model to compare the expected characteristics of three spatially self-limiting gene drive systems: one-locus underdominance, two-locus underdominance and daisy-chain drives. We find large differences between these gene drives in the minimum release size required for successfully driving a payload into a population. The daisy-chain system is the most efficient, requiring the smallest release, followed by the two-locus underdominance system, and then the one-locus underdominance system. However, when the target population exchanges migrants with a nontarget population, the gene drives requiring smaller releases suffer from higher risks of unintended spread. For payloads that incur relatively low fitness costs (up to 30%), a simple daisy-chain drive is practically incapable of remaining localized, even with migration rates as low as 0.5% per generation. The two-locus underdominance system can achieve localized spread under a broader range of migration rates and of payload fitness costs, while the one-locus underdominance system largely remains localized. We also find differences in the extent of population alteration and in the permanence of the alteration achieved by the three gene drives. The two-locus underdominance system does not always spread the payload to fixation, even after successful drive, while the daisy-chain system can, for a small set of parameter values, achieve a temporally limited spread of the payload. These differences could affect the suitability of each gene drive for specific applications.

Indexed as

Cas9CRISPRdaisy‐chain drivegene drivepopulation alterationunderdominance

Identifiers

PMID29875820
PMCPMC5978947

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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.