Incorporating ecology into gene drive modelling

Author:

Kim Jaehee1ORCID,Harris Keith D.2ORCID,Kim Isabel K.1,Shemesh Shahar2,Messer Philipp W.1ORCID,Greenbaum Gili2ORCID

Affiliation:

1. Department of Computational Biology Cornell University Ithaca New York USA

2. Department of Ecology, Evolution and Behavior The Hebrew University of Jerusalem Jerusalem Israel

Abstract

AbstractGene drive technology, in which fast‐spreading engineered drive alleles are introduced into wild populations, represents a promising new tool in the fight against vector‐borne diseases, agricultural pests and invasive species. Due to the risks involved, gene drives have so far only been tested in laboratory settings while their population‐level behaviour is mainly studied using mathematical and computational models. The spread of a gene drive is a rapid evolutionary process that occurs over timescales similar to many ecological processes. This can potentially generate strong eco‐evolutionary feedback that could profoundly affect the dynamics and outcome of a gene drive release. We, therefore, argue for the importance of incorporating ecological features into gene drive models. We describe the key ecological features that could affect gene drive behaviour, such as population structure, life‐history, environmental variation and mode of selection. We review previous gene drive modelling efforts and identify areas where further research is needed. As gene drive technology approaches the level of field experimentation, it is crucial to evaluate gene drive dynamics, potential outcomes, and risks realistically by including ecological processes.

Funder

Israel Science Foundation

National Institutes of Health

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Reference187 articles.

1. Evolutionary game theory using agent‐based methods;Adami C.;Physics of Life Reviews,2016

2. Rules of the road for insect gene drive research and testing;Adelman Z.;Nature Biotechnology,2017

3. Efficient population modification gene‐drive rescue system in the malaria mosquito Anopheles stephensi;Adolfi A.;Nature Communications,2020

4. Novel synthetic Medea selfish genetic elements drive population replacement in drosophila; a theoretical exploration of Medea‐dependent population suppression;Akbari O.S.;ACS Synthetic Biology,2014

5. A synthetic gene drive system for local, reversible modification and suppression of insect populations;Akbari O.S.;Current Biology,2013

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