CE45 - Mathématiques et sciences du numérique pour la biologie et la santé 2019

Theoretical Exploration of the Feasibility, Challenges and Risks of Synthetic Gene Drives – TheoGeneDrive

Theoretical Exploration of the Feasibility, Challenges and Risks of Synthetic Gene Drives

More is currently known about the molecular biology of synthetic gene drives than their ecological and evolutionary impacts on populations and their ecosystems. This project aims at filling this gap, by using mathematical and computational eco-evolutionary models.

Theoretical Exploration of the Feasibility, Challenges and Risks of Synthetic Gene Drives

The overarching aim of the proposal is to develop an independent theoretical expertise of synthetic gene drives. We think it is essential for research on gene drives to be also carried out by scientists not involved in the future deployment of gene drives in nature, to guarantee that negative results or results showing detrimental effects of gene drives can still be reported. We want to develop a better understanding of the feasibility of population replacement or suppression using synthetic gene drives (Objective 1), of the evolutionary challenges to overcome (Objective 2), and of the associated risks and broader implications (Objective 3).

Mathemaical modelling

to come

to come

Submission summary

Genetic control with gene drives consists in biasing genetic inheritance in sexually reproducing organisms. With the development of CRISPR-Cas9 gene editing tools, population control with synthetic gene drives has recently become a realistic possibility. The technique has far ranging potential applications, including the control of agricultural pests, of insect vectors of infectious diseases, or of invasive populations, and represents a promising alternative to pesticides. Proof of concept studies in controlled settings have confirmed that a trait, even if deleterious, can spread in a population thanks to the self-replicating properties of a CRISPR-Cas9 construct. Gene drives thus have the potential to permanently alter wild populations. Yet, more is currently known about the molecular biology of synthetic gene drives than their ecological and evolutionary impacts on populations and their ecosystems. This project aims at filling this gap, by using mathematical and computational eco-evolutionary models. First, we will assess the feasibility of gene drives for the modification or eradication of wild populations in realistic settings: What is the probability that a gene drive construct establishes in a population? Can it spread spatially even when designed for population eradication? How do specificities of the target species’ life-cycle affect the spread of gene drives? Second, we will evaluate the evolutionary challenges that gene drives will face: how and how fast will resistance evolve? Can a gene drive trigger the evolution of life-cycle features that will feed back on its spread? Third, we will investigate the environmental risks, ethical and regulatory issues associated to the technique: What are the impacts on ecosystems? Can we control a rogue gene drive? What are the societal, ethical and regulatory implications of gene drives, and how can we address them? Our results will be instrumental to developing an interdisciplinary and independent expertise in France and in the European Union on this promising but controversial new technology.

Project coordination

Florence Débarre (Institut d'écologie et des sciences de l'environnement de Paris)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

IEES Institut d'écologie et des sciences de l'environnement de Paris

Help of the ANR 239,760 euros
Beginning and duration of the scientific project: December 2019 - 48 Months

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