BibTex format

author = {Geci, R and Willis, K and Burt, A},
doi = {10.1101/2022.06.29.498122},
title = {Gene drive designs for efficient and localisable population suppression using Y-linked editors},
url = {},
year = {2022}

RIS format (EndNote, RefMan)

AB - <jats:title>Abstract</jats:title><jats:p>The sterile insect technique (SIT) has been successful in controlling some pest species but is not practicable for many others due to the large numbers of individuals that need to be reared and released. Previous computer modelling has demonstrated that the release of males carrying a Y-linked editor that kills or sterilises female descendants could be orders of magnitude more efficient than SIT while still remaining spatially restricted, particularly if combined with an autosomal sex distorter. In principle, further gains in efficiency could be achieved by using a self-propagating double drive design, in which each of the two components (the Y-linked editor and the sex ratio distorter) boosted the transmission of the other. To better understand the expected dynamics and impact of releasing constructs of this new design, we have analysed a deterministic population genetic and population dynamic model. Our modelling demonstrates that this design can suppress a population from very low release rates, with no invasion threshold. Importantly, the design can work even if homing rates are low and sex chromosomes are silenced at meiosis, potentially expanding the range of species amenable to such control. Moreover, the predicted dynamics and impacts can be exquisitely sensitive to relatively small (e.g., 25%) changes in allele frequencies in the target population, which could be exploited for sequence-based population targeting. Analysis of published <jats:italic>Anopheles gambiae</jats:italic> genome sequences indicates that even for weakly differentiated populations with an F<jats:sub>ST</jats:sub> of 0.02 there may be thousands of suitably differentiated genomic sites that could be used to restrict the spread and impact of a release. Our proposed design, which extends an already promising development pathway based on Y-linked editors, is therefore a potentially useful addition to the menu
AU - Geci,R
AU - Willis,K
AU - Burt,A
DO - 10.1101/2022.06.29.498122
PY - 2022///
TI - Gene drive designs for efficient and localisable population suppression using Y-linked editors
UR -
ER -