Locally Fixed Alleles: A method to localize gene drive to island populations
Abstract
Invasive species pose a major threat to biodiversity on islands. While successes have been achieved using traditional removal methods, such as toxicants aimed at rodents, these approaches have limitations and various off-target effects on island ecosystems. Gene drive technologies designed to eliminate a population provide an alternative approach, but the potential for drive-bearing individuals to escape from the target release area and impact populations elsewhere is a major concern. Here we propose the “Locally Fixed Alleles” approach as a novel means for localizing elimination by a drive to an island population that exhibits significant genetic isolation from neighboring populations. Our approach is based on the assumption that in small island populations of rodents, genetic drift will lead to alleles at multiple genomic loci becoming fixed. In contrast, multiple alleles are likely to be maintained in larger populations on mainlands. Utilizing the high degree of genetic specificity achievable using homing drives, for example based on the CRISPR/Cas9 system, our approach aims at employing one or more locally fixed alleles as the target for a gene drive on a particular island. Using mathematical modeling, we explore the feasibility of this approach and the degree of localization that can be achieved. We show that across a wide range of parameter values, escape of the drive to a neighboring population in which the target allele is not fixed will at most lead to modest transient suppression of the non-target population. While the main focus of this paper is on elimination of a rodent pest from an island, we also discuss the utility of the locally fixed allele approach for the goals of population suppression or population replacement. Our analysis also provides a threshold condition for the ability of a gene drive to invade a partially resistant population.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 01, 2019
- Source ID
- 10.1038/s41598-019-51994-0
Entities
People
- Aaron B. Shiels
- Alun L Lloyd
- Antoinette J. Piaggio
- Brandon Hollingsworth
- David W. Threadgill
- Dimitri V. Blondel
- Fred Gould
- Gregg R. Howald
- J. Royden Saah
- Jaye Sudweeks
- John D. Eisemann
- John Godwin
- Joshua V. Ross
- Karl J. Campbell
- Kevin P Oh
- Michael R. Vella
- Owain Edwards
- Paul Q. Thomas
- Sumit Dhole
- Thomas A A Prowse
Organizations
- National Institutes of Health
- National Science Foundation
- United States Department of Defense
- United States Department of Health and Human Services