Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Gene drive designs for efficient and localisable population suppression using Y-linked editors

René Geci, View ORCID ProfileKatie Willis, View ORCID ProfileAustin Burt
doi: https://doi.org/10.1101/2022.06.29.498122
René Geci
Dept. of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katie Willis
Dept. of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Katie Willis
Austin Burt
Dept. of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Austin Burt
  • For correspondence: a.burt@imperial.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

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 Anopheles gambiae genome sequences indicates that even for weakly differentiated populations with an FST 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 of options for genetic biocontrol.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted July 01, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Gene drive designs for efficient and localisable population suppression using Y-linked editors
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Gene drive designs for efficient and localisable population suppression using Y-linked editors
René Geci, Katie Willis, Austin Burt
bioRxiv 2022.06.29.498122; doi: https://doi.org/10.1101/2022.06.29.498122
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Gene drive designs for efficient and localisable population suppression using Y-linked editors
René Geci, Katie Willis, Austin Burt
bioRxiv 2022.06.29.498122; doi: https://doi.org/10.1101/2022.06.29.498122

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4685)
  • Biochemistry (10362)
  • Bioengineering (7683)
  • Bioinformatics (26343)
  • Biophysics (13535)
  • Cancer Biology (10697)
  • Cell Biology (15446)
  • Clinical Trials (138)
  • Developmental Biology (8501)
  • Ecology (12824)
  • Epidemiology (2067)
  • Evolutionary Biology (16868)
  • Genetics (11402)
  • Genomics (15485)
  • Immunology (10623)
  • Microbiology (25226)
  • Molecular Biology (10225)
  • Neuroscience (54484)
  • Paleontology (402)
  • Pathology (1669)
  • Pharmacology and Toxicology (2897)
  • Physiology (4345)
  • Plant Biology (9255)
  • Scientific Communication and Education (1587)
  • Synthetic Biology (2558)
  • Systems Biology (6781)
  • Zoology (1467)