Evidence map›Paper›PMID 28159753›Full record

ArticleGenetics2017

Requirements for Driving Antipathogen Effector Genes into Populations of Disease Vectors by Homing.

Andrea Beaghton, Andrew Hammond, Tony Nolan, Andrea Crisanti, H Charles J Godfray, Austin Burt

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Resistance to natural and synthetic gene drive systems.Journal of evolutionary biology · 2020
    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

6 authors at 2 institutions in 1 country.

Andrea BeaghtonLife Sciences, Imperial College, Silwood Park, Ascot, Berkshire SL5 7PY, United Kingdom a.beaghton@imperial.ac.uk.
Andrew HammondLife Sciences, Imperial College, South Kensington, London SW7 2AZ, United Kingdom.
Tony NolanLife Sciences, Imperial College, South Kensington, London SW7 2AZ, United Kingdom.
Andrea CrisantiLife Sciences, Imperial College, South Kensington, London SW7 2AZ, United Kingdom.
H Charles J GodfrayDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Austin BurtLife Sciences, Imperial College, Silwood Park, Ascot, Berkshire SL5 7PY, United Kingdom.
Imperial College London · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need for new interventions against the ongoing burden of vector-borne diseases such as malaria and dengue. One suggestion has been to develop genes encoding effector molecules that block parasite development within the vector, and then use the nuclease-based homing reaction as a form of gene drive to spread those genes through target populations. If the effector gene reduces the fitness of the mosquito and does not contribute to the drive, then loss-of-function mutations in the effector will eventually replace functional copies, but protection may nonetheless persist sufficiently long to provide a public health benefit. Here, we present a quantitative model allowing one to predict the duration of protection as a function of the probabilities of different molecular processes during the homing reaction, various fitness effects, and the efficacy of the effector in blocking transmission. Factors that increase the duration of protection include reducing the frequency of pre-existing resistant alleles, the probability of nonrecombinational DNA repair, the probability of homing-associated loss of the effector, the fitness costs of the nuclease and effector, and the completeness of parasite blocking. For target species that extend over an area much larger than the typical dispersal distance, the duration of protection is expected to be highest at the release site, and decrease away from there, eventually falling to zero, as effector-less drive constructs replace effector-containing ones. We also model an alternative strategy of using the nuclease to target an essential gene, and then linking the effector to a sequence that restores the essential function and is resistant to the nuclease. Depending upon parameter values, this approach can prolong the duration of protection. Our models highlight the key design criteria needed to achieve a desired level of public health benefit.

Indexed as

Genes, InsectModels, GeneticAnimalsDNA Repair EnzymesGenetic FitnessHumansInsect ProteinsMalariaMosquito VectorsMutationDNA Repair EnzymesInsect Proteinsgene drivehomingmalariapest controlpopulation genetic engineering

Identifiers

PMID28159753
PMCPMC5378115
OpenAlexW2584840797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.