Evidence map›Paper›PMID 38009398›Full record

ArticleMolecular ecology resources2024

A framework for identifying fertility gene targets for mammalian pest control.

Anna C Clark, Rey Edison, Kevin Esvelt, Sebastian Kamau, Ludovic Dutoit, Jackson Champer, Samuel E Champer, Philipp W Messer, Alana Alexander, Neil J Gemmell

Abstract read
In one paragraph

Article in Molecular ecology resources, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Y-linked editors for invasive rodent control.Molecular biology and evolution · 2026
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Anna C ClarkDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0001-5165-4555
Rey EdisonMedia Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kevin EsveltMedia Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Sebastian KamauMedia Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Ludovic DutoitDepartment of Zoology, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-0164-9878
Jackson ChamperCenter for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Samuel E ChamperDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0002-4559-7627
Philipp W MesserDepartment of Computational Biology, Cornell University, Ithaca, New York, USA.
Alana AlexanderDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-6456-7757
Neil J GemmellDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0003-0671-3637

Funding

Evolutionary dynamics of CRISPR gene drives in natural populationsR01GM127418 · NIGMS · CORNELL UNIVERSITY · PI MESSER, PHILIPP W · 2018 to 2022
$1.6M
NIGMS NIH HHS R01 GM127418NIH HHS R01GM127418
6 · The paper itself

Abstract

Fertility-targeted gene drives have been proposed as an ethical genetic approach for managing wild populations of vertebrate pests for public health and conservation benefit. This manuscript introduces a framework to identify and evaluate target gene suitability based on biological gene function, gene expression and results from mouse knockout models. This framework identified 16 genes essential for male fertility and 12 genes important for female fertility that may be feasible targets for mammalian gene drives and other non-drive genetic pest control technology. Further, a comparative genomics analysis demonstrates the conservation of the identified genes across several globally significant invasive mammals. In addition to providing important considerations for identifying candidate genes, our framework and the genes identified in this study may have utility in developing additional pest control tools such as wildlife contraceptives.

Indexed as

FertilityPest ControlAnimalsAnimals, WildFemaleMaleMammalsMiceVertebratesfertility genesgene driveidentification frameworkpest controlwildlife management

Identifiers

PMID38009398
PMCPMC10860713

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.