Evidence map›Paper›PMID 28728996›Full record

ArticleJournal of theoretical biology2017

Conditions for success of engineered underdominance gene drive systems.

Matthew P Edgington, Luke S Alphey

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  7. Control of malaria-transmitting mosquitoes using gene drives.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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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

2 authors.

Matthew P EdgingtonThe Pirbright Institute, Ash Road, Woking, Surrey, GU24 0NF, UK. Electronic address: matt.edgington@pirbright.ac.uk.
Luke S AlpheyThe Pirbright Institute, Ash Road, Woking, Surrey, GU24 0NF, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00001892Biotechnology and Biological Sciences Research Council BBS/E/I/00007033Biotechnology and Biological Sciences Research Council BBS/E/I/00007038Wellcome TrustWellcome Trust 110117/Z/15/Z
6 · The paper itself

Abstract

Engineered underdominance is one of a number of different gene drive strategies that have been proposed for the genetic control of insect vectors of disease. Here we model a two-locus engineered underdominance based gene drive system that is based on the concept of mutually suppressing lethals. In such a system two genetic constructs are introduced, each possessing a lethal element and a suppressor of the lethal at the other locus. Specifically, we formulate and analyse a population genetics model of this system to assess when different combinations of release strategies (i.e. single or multiple releases of both sexes or males only) and genetic systems (i.e. bisex lethal or female-specific lethal elements and different strengths of suppressors) will give population replacement or fail to do so. We anticipate that results presented here will inform the future design of engineered underdominance gene drive systems as well as providing a point of reference regarding release strategies for those looking to test such a system. Our discussion is framed in the context of genetic control of insect vectors of disease. One of several serious threats in this context are Aedes aegypti mosquitoes as they are the primary vectors of dengue viruses. However, results are also applicable to Ae. aegypti as vectors of Zika, yellow fever and chikungunya viruses and also to the control of a number of other insect species and thereby of insect-vectored pathogens.

Indexed as

Gene Drive TechnologyAedesAnimalsAnimals, Genetically ModifiedDengueDengue VirusFemaleGenetics, PopulationInsect VectorsMaleMosquito ControlVirus Diseases

Identifiers

PMID28728996
PMCPMC5562440

What OpenQuestion holds

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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.