Sequence mismatch between gene-drive and target-site flanking regions significantly impairs homing efficiency in <i>Culex quinquefasciatus</i>

CRISPR/Cas9-based homing gene-drives (homing-drives) hold enormous potential as control tools for mosquito disease-vectors. These genomically-encoded technologies spread themselves through target populations by creating double-stranded DNA breaks on homologous chromosomes, into which the homing-drives are copied ('homed'). Homing is dependent on sequence homology between the genomic regions flanking the transgene insertion and the break site. Homing efficiency (i.e. copying rate) substantially impacts the power of these systems: less efficient homing-drives spread slower, have fewer applications and are more resistance-prone. Understanding what influences homing-drive efficiency is therefore vital to the successful use of these technologies. Here we report a novel mechanism by which a homing-drive's efficiency can be significantly impaired by natural sequence variation within a population into which it is spreading. Using a kmo-targeting 'split' homing-drive in the West Nile virus mosquito Culex quinquefasciatus, we found that target-site heterology (sequence mismatch between the genomic regions flanking the target cut-site and the homing-drive transgene) of less than 10% reduced homing efficiency by up to 54%. While substantial research effort has been dedicated to increasing homing-drive efficiency through optimisation of within-construct components, our results highlight that the real-world efficacy of these systems may in part depend on variation beyond these controllable factors.

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Publication Details

Journal
Genetics
Published
2026-03-03
DOI
https://doi.org/10.1093/genetics/iyag054
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Sequence mismatch between gene-drive and target-site flanking regions significantly impairs homing efficiency in Culex quinquefasciatus

Valentino M. Gantz, Luke Alphey, Xia Feng, Philip T. Leftwich et al.
Genetics
CRISPR and Genetic Engineering
article

Sequence mismatch between gene-drive and target-site flanking regions significantly impairs homing efficiency in Culex quinquefasciatus

Valentino M. Gantz, Luke Alphey, Xia Feng, Philip T. Leftwich, Rajdeep Kaur, Tim Harvey-Samuel
article en

Abstract

CRISPR/Cas9-based homing gene-drives (homing-drives) hold enormous potential as control tools for mosquito disease-vectors. These genomically-encoded technologies spread themselves through target populations by creating double-stranded DNA breaks on homologous chromosomes, into which the homing-drives are copied ('homed'). Homing is dependent on sequence homology between the genomic regions flanking the transgene insertion and the break site. Homing efficiency (i.e. copying rate) substantially impacts the power of these systems: less efficient homing-drives spread slower, have fewer applications and are more resistance-prone. Understanding what influences homing-drive efficiency is therefore vital to the successful use of these technologies. Here we report a novel mechanism by which a homing-drive's efficiency can be significantly impaired by natural sequence variation within a population into which it is spreading. Using a kmo-targeting 'split' homing-drive in the West Nile virus mosquito Culex quinquefasciatus, we found that target-site heterology (sequence mismatch between the genomic regions flanking the target cut-site and the homing-drive transgene) of less than 10% reduced homing efficiency by up to 54%. While substantial research effort has been dedicated to increasing homing-drive efficiency through optimisation of within-construct components, our results highlight that the real-world efficacy of these systems may in part depend on variation beyond these controllable factors.

Genetics
University of East Anglia (GB), The Pirbright Institute (GB), University of San Diego (US), Norwich Research Park (GB), University of California San Diego (US), ZheJiang Academy of Agricultural Sciences (CN), University of York (GB), Keele University (GB), Zhejiang University (CN)
Openalex Percentile: Top 35%
CRISPR and Genetic Engineering
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