Evidence map›Paper›PMID 28705249›Full record

ArticleMalaria journal2017

Vector control with driving Y chromosomes: modelling the evolution of resistance.

Andrea Beaghton, Pantelis John Beaghton, Austin Burt

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  13. Evolutionary simulations ofProceedings. Biological sciences · 2019
    Article
  14. Article
  15. Article
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  18. Tuning CRISPR-Cas9 Gene Drives inG3 (Bethesda, Md.) · 2018
    Article
  19. Gene Drive: Evolved and Synthetic.ACS chemical biology · 2018
    Review
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.

Andrea BeaghtonLife Sciences, Imperial College, Silwood Park, Ascot, Berkshire, SL5 7PY, UK. a.beaghton@imperial.ac.uk.
Pantelis John BeaghtonLife Sciences, Imperial College, Silwood Park, Ascot, Berkshire, SL5 7PY, UK.
Austin BurtLife Sciences, Imperial College, Silwood Park, Ascot, Berkshire, SL5 7PY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe introduction of new malaria control interventions has often led to the evolution of resistance, both of the parasite to new drugs and of the mosquito vector to new insecticides, compromising the efficacy of the interventions. Recent progress in molecular and population biology raises the possibility of new genetic-based interventions, and the potential for resistance to evolve against these should be considered. Here, population modelling is used to determine the main factors affecting the likelihood that resistance will evolve against a synthetic, nuclease-based driving Y chromosome that produces a male-biased sex ratio.

methodsA combination of deterministic differential equation models and stochastic analyses involving branching processes and Gillespie simulations is utilized to assess the probability that resistance evolves against a driving Y that otherwise is strong enough to eliminate the target population. The model considers resistance due to changes at the target site such that they are no longer cleaved by the nuclease, and due to trans-acting autosomal suppressor alleles.

resultsThe probability that resistance evolves increases with the mutation rate and the intrinsic rate of increase of the population, and decreases with the strength of drive and any pleiotropic fitness costs of the resistant allele. In seasonally varying environments, the time of release can also affect the probability of resistance evolving. Trans-acting suppressor alleles are more likely to suffer stochastic loss at low frequencies than target site resistant alleles.

conclusionsAs with any other intervention, there is a risk that resistance will evolve to new genetic approaches to vector control, and steps should be taken to minimize this probability. Two design features that should help in this regard are to reduce the rate at which resistant mutations arise, and to target sequences such that if they do arise, they impose a significant fitness cost on the mosquito.

Indexed as

Biological EvolutionModels, GeneticAnimalsAnophelesCommunicable Disease ControlFemaleMalariaMaleMosquito VectorsSex RatioY ChromosomeAnopheles gambiaeBranching processDriving Y chromosomeGene driveMalariaResistanceVector control

Identifiers

PMID28705249
PMCPMC5513332

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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.