Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

ABSTRACT: Invasive rodent populations pose a threat to biodiversity across the globe. When confronted with these invaders, native species that evolved independently are often defenseless. CRISPR gene drive systems could provide a solution to this problem by spreading transgenes among invaders that induce population collapse, and could be deployed even where traditional control methods are impractical or prohibitively expensive. Here, we develop a high-fidelity model of an island population of invasive rodents that includes three types of suppression gene drive systems. The individual-based model is spatially explicit, allows for overlapping generations and a fluctuating population size, and includes variables for drive fitness, efficiency, resistance allele formation rate, as well as a variety of ec

SUBMITTER: Champer SE 

PROVIDER: S-EPMC8716047 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature