Evidence map›Paper›PMID 40760041›Full record

ArticleCommunications biology2025

Harnessing the highly adaptable barnase-barstar system for genetic biocontrol of Aedes aegypti.

Katherine Nevard, Joshua X D Ang, Michelle A E Anderson, Estela Gonzalez, Lewis Shackleford, Luke Alphey

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Katherine Nevard *Arthropod Genetics, The Pirbright Institute, Pirbright, UK.ORCID http://orcid.org/0000-0002-1008-6587
Joshua X D Ang *Arthropod Genetics, The Pirbright Institute, Pirbright, UK.
Michelle A E AndersonArthropod Genetics, The Pirbright Institute, Pirbright, UK.ORCID http://orcid.org/0000-0003-1510-2942
Estela GonzalezArthropod Genetics, The Pirbright Institute, Pirbright, UK.
Lewis ShacklefordArthropod Genetics, The Pirbright Institute, Pirbright, UK.
Luke AlpheyArthropod Genetics, The Pirbright Institute, Pirbright, UK. luke.alphey@york.ac.uk.ORCID http://orcid.org/0000-0002-2916-3802

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BBS/E/I/00007033RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BBS/E/I/00007038RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BBS/E/I/00007039
6 · The paper itself

Abstract

Toxin-antidote pairs can be used in gene drive systems, providing powerful means to modify mosquito populations. Here we use the toxin-antidote pair, barnase and barstar, originally identified in Bacillus amyloliquefaciens, due to their high binding affinity, small size and lack of need for cofactors. In Ae. aegypti cell culture, we find that barnase can kill and barstar can rescue the effect. Ubiquitous expression of barnase in transgenic mosquitoes results in up to 100% lethality. Tissue specific expression results in flightless or reduced fertility in females and this could be partially rescued by ubiquitous expression of barstar likely due to insufficient expression of barstar in affected tissues. In conclusion, we show barnase-barstar to be a highly adaptable toxin-antidote pair, providing a basis for developing toxin-antidote gene drive systems.

Indexed as

AedesBacillus amyloliquefaciensBacterial ProteinsPest Control, BiologicalRibonucleasesAnimalsAnimals, Genetically ModifiedFemaleGene Drive TechnologyBacillus amyloliquefaciens ribonucleaseBacterial Proteinsbarstar protein, Bacillus amyloliquefaciensRibonucleases

Identifiers

PMID40760041
PMCPMC12322067

What OpenQuestion holds

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LicenceCC BY
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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.