Evidence map›Paper›PMID 34610011›Full record

ArticlePLoS genetics2021

Resistance to a CRISPR-based gene drive at an evolutionarily conserved site is revealed by mimicking genotype fixation.

Silke Fuchs, William T Garrood, Anna Beber, Andrew Hammond, Roberto Galizi, Matthew Gribble, Giulia Morselli, Tin-Yu J Hui, Katie Willis, Nace Kranjc and 3 more

Abstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  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
  13. Article
  14. Article
  15. Article
  16. Article
  17. Eliminating malaria vectors with precision-guided sterile males.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Review
  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

13 authors.

Silke FuchsDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0001-8921-7422
William T GarroodDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0003-2743-2770
Anna BeberDepartment of Biology, University of Padua, Padua, Italy.
Andrew HammondDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0002-1757-5009
Roberto GaliziCentre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Keele, Staffordshire, United Kingdom.ORCID 0000-0003-3134-7480
Matthew GribbleDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Giulia MorselliDepartment of Life Sciences, Imperial College London, London, United Kingdom.
Tin-Yu J HuiDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0002-1702-803X
Katie WillisDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0001-5016-2380
Nace KranjcDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0001-7720-8430
Austin BurtDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0001-5146-9640
Andrea CrisantiDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0002-2406-4426
Tony NolanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.

Funding

Gates Foundation INV-006610
6 · The paper itself

Abstract

CRISPR-based homing gene drives can be designed to disrupt essential genes whilst biasing their own inheritance, leading to suppression of mosquito populations in the laboratory. This class of gene drives relies on CRISPR-Cas9 cleavage of a target sequence and copying ('homing') therein of the gene drive element from the homologous chromosome. However, target site mutations that are resistant to cleavage yet maintain the function of the essential gene are expected to be strongly selected for. Targeting functionally constrained regions where mutations are not easily tolerated should lower the probability of resistance. Evolutionary conservation at the sequence level is often a reliable indicator of functional constraint, though the actual level of underlying constraint between one conserved sequence and another can vary widely. Here we generated a novel adult lethal gene drive (ALGD) in the malaria vector Anopheles gambiae, targeting an ultra-conserved target site in a haplosufficient essential gene (AGAP029113) required during mosquito development, which fulfils many of the criteria for the target of a population suppression gene drive. We then designed a selection regime to experimentally assess the likelihood of generation and subsequent selection of gene drive resistant mutations at its target site. We simulated, in a caged population, a scenario where the gene drive was approaching fixation, where selection for resistance is expected to be strongest. Continuous sampling of the target locus revealed that a single, restorative, in-frame nucleotide substitution was selected. Our findings show that ultra-conservation alone need not be predictive of a site that is refractory to target site resistance. Our strategy to evaluate resistance in vivo could help to validate candidate gene drive targets for their resilience to resistance and help to improve predictions of the invasion dynamics of gene drives in field populations.

Indexed as

AnimalsAnophelesBiological EvolutionConserved SequenceCRISPR-Cas SystemsGene Drive TechnologyGenes, EssentialGenotypeMalariaMosquito ControlMosquito Vectors

Identifiers

PMID34610011
PMCPMC8519452

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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.