Evidence map›Paper›PMID 28467301›Full record

ArticleeLife2017

Introduction of a male-harming mitochondrial haplotype via 'Trojan Females' achieves population suppression in fruit flies.

Jonci Nikolai Wolff, Neil J Gemmell, Daniel M Tompkins, Damian K Dowling

Open access · goldAbstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Conservation pest control with new technologies: public perceptions.Journal of the Royal Society of New Zealand · 2022
    Article
  4. Article
  5. Invasive Insects: Management Methods Explored.Journal of insect science (Online) · 2019
    Review
  6. Selfish Mitonuclear Conflict.Current biology : CB · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. 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

4 authors at 3 institutions in 2 countries.

Jonci Nikolai WolffSchool of Biological Sciences, Monash University, Victoria, Australia.ORCID 0000-0002-8809-5010
Neil J GemmellDepartment of Anatomy, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-0671-3637
Daniel M TompkinsLandcare Research, Dunedin, New Zealand.
Damian K DowlingSchool of Biological Sciences, Monash University, Victoria, Australia.ORCID 0000-0003-2209-3458
Monash University · AUManaaki Whenua – Landcare Research · NZUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pests are a global threat to biodiversity, ecosystem function, and human health. Pest control approaches are thus numerous, but their implementation costly, damaging to non-target species, and ineffective at low population densities. The Trojan Female Technique (TFT) is a prospective self-perpetuating control technique that is species-specific and predicted to be effective at low densities. The goal of the TFT is to harness naturally occurring mutations in the mitochondrial genome that impair male fertility while having no effect on females. Here, we provide proof-of-concept for the TFT, by showing that introduction of a male fertility-impairing mtDNA haplotype into replicated populations of

Indexed as

HaplotypesInfertility, MaleMutationProof of Concept StudyAnimalsDNA, MitochondrialDrosophila melanogasterFemaleMaleMosquito ControlDNA, Mitochondrialbio controlD. melanogasterevolutionary biologyfertility controlgenomicsmale-harming mutationsmitochondriamitonuclearmtDNA

Identifiers

PMID28467301
PMCPMC5441865
OpenAlexW2610983121

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.