Literature DB >> 33404162

Suppression gene drive in continuous space can result in unstable persistence of both drive and wild-type alleles.

Jackson Champer1,2, Isabel K Kim1, Samuel E Champer1, Andrew G Clark1,2, Philipp W Messer1.   

Abstract

Rapid evolutionary processes can produce drastically different outcomes when studied in panmictic population models vs. spatial models. One such process is gene drive, which describes the spread of "selfish" genetic elements through a population. Engineered gene drives are being considered for the suppression of disease vectors or invasive species. While laboratory experiments and modelling in panmictic populations have shown that such drives can rapidly eliminate a population, it remains unclear if these results translate to natural environments where individuals inhabit a continuous landscape. Using spatially explicit simulations, we show that the release of a suppression drive can result in what we term "chasing" dynamics, in which wild-type individuals recolonize areas where the drive has locally eliminated the population. Despite the drive subsequently reconquering these areas, complete population suppression often fails to occur or is substantially delayed. This increases the likelihood that the drive is lost or that resistance evolves. We analyse how chasing dynamics are influenced by the type of drive, its efficiency, fitness costs, and ecological factors such as the maximal growth rate of the population and levels of dispersal and inbreeding. We find that chasing is more common for lower efficiency drives when dispersal is low and that some drive mechanisms are substantially more prone to chasing behaviour than others. Our results demonstrate that the population dynamics of suppression gene drives are determined by a complex interplay of genetic and ecological factors, highlighting the need for realistic spatial modelling to predict the outcome of drive releases in natural populations.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  biotechnology; ecological genetics; genetically modified organisms; population dynamics; population ecology; population genetics - theoretical

Mesh:

Year:  2021        PMID: 33404162      PMCID: PMC7887089          DOI: 10.1111/mec.15788

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  49 in total

1.  Gene drive through a landscape: Reaction-diffusion models of population suppression and elimination by a sex ratio distorter.

Authors:  Andrea Beaghton; Pantelis John Beaghton; Austin Burt
Journal:  Theor Popul Biol       Date:  2015-12-15       Impact factor: 1.570

Review 2.  Cheating evolution: engineering gene drives to manipulate the fate of wild populations.

Authors:  Jackson Champer; Anna Buchman; Omar S Akbari
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

3.  Isolation by Distance.

Authors:  S Wright
Journal:  Genetics       Date:  1943-03       Impact factor: 4.562

4.  Nonlinear dynamics of the rock-paper-scissors game with mutations.

Authors:  Danielle F P Toupo; Steven H Strogatz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-05-11

5.  Modelling the spatial spread of a homing endonuclease gene in a mosquito population.

Authors:  Ace North; Austin Burt; H Charles J Godfray
Journal:  J Appl Ecol       Date:  2013-07-23       Impact factor: 6.528

6.  A CRISPR-Cas9 sex-ratio distortion system for genetic control.

Authors:  Roberto Galizi; Andrew Hammond; Kyros Kyrou; Chrysanthi Taxiarchi; Federica Bernardini; Samantha M O'Loughlin; Philippos-Aris Papathanos; Tony Nolan; Nikolai Windbichler; Andrea Crisanti
Journal:  Sci Rep       Date:  2016-08-03       Impact factor: 4.379

7.  Vector control with driving Y chromosomes: modelling the evolution of resistance.

Authors:  Andrea Beaghton; Pantelis John Beaghton; Austin Burt
Journal:  Malar J       Date:  2017-07-14       Impact factor: 2.979

8.  SLiM 3: Forward Genetic Simulations Beyond the Wright-Fisher Model.

Authors:  Benjamin C Haller; Philipp W Messer
Journal:  Mol Biol Evol       Date:  2019-03-01       Impact factor: 16.240

9.  Modelling the potential of genetic control of malaria mosquitoes at national scale.

Authors:  Ace R North; Austin Burt; H Charles J Godfray
Journal:  BMC Biol       Date:  2019-03-29       Impact factor: 7.431

10.  A CRISPR-Cas9 gene drive targeting doublesex causes complete population suppression in caged Anopheles gambiae mosquitoes.

Authors:  Kyros Kyrou; Andrew M Hammond; Roberto Galizi; Nace Kranjc; Austin Burt; Andrea K Beaghton; Tony Nolan; Andrea Crisanti
Journal:  Nat Biotechnol       Date:  2018-09-24       Impact factor: 54.908

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  15 in total

Review 1.  Gene Editing and Genetic Control of Hemipteran Pests: Progress, Challenges and Perspectives.

Authors:  Inaiara D Pacheco; Linda L Walling; Peter W Atkinson
Journal:  Front Bioeng Biotechnol       Date:  2022-06-07

2.  Gene drive that results in addiction to a temperature-sensitive version of an essential gene triggers population collapse in Drosophila.

Authors:  Georg Oberhofer; Tobin Ivy; Bruce A Hay
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-07       Impact factor: 12.779

3.  Modelling homing suppression gene drive in haplodiploid organisms.

Authors:  Yiran Liu; Jackson Champer
Journal:  Proc Biol Sci       Date:  2022-04-13       Impact factor: 5.530

4.  Experimental demonstration of tethered gene drive systems for confined population modification or suppression.

Authors:  Matthew Metzloff; Emily Yang; Sumit Dhole; Andrew G Clark; Philipp W Messer; Jackson Champer
Journal:  BMC Biol       Date:  2022-05-24       Impact factor: 7.364

5.  Gene drive escape from resistance depends on mechanism and ecology.

Authors:  Forest Cook; James J Bull; Richard Gomulkiewicz
Journal:  Evol Appl       Date:  2022-03-22       Impact factor: 4.929

6.  Novel combination of CRISPR-based gene drives eliminates resistance and localises spread.

Authors:  Nicky R Faber; Gus R McFarlane; R Chris Gaynor; Ivan Pocrnic; C Bruce A Whitelaw; Gregor Gorjanc
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

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

Authors:  Samuel E Champer; Nathan Oakes; Ronin Sharma; Pablo García-Díaz; Jackson Champer; Philipp W Messer
Journal:  PLoS Comput Biol       Date:  2021-12-29       Impact factor: 4.779

8.  Modeling impact and cost-effectiveness of driving-Y gene drives for malaria elimination in the Democratic Republic of the Congo.

Authors:  Nawaphan Metchanun; Christian Borgemeister; Gaston Amzati; Joachim von Braun; Milen Nikolov; Prashanth Selvaraj; Jaline Gerardin
Journal:  Evol Appl       Date:  2022-01-07       Impact factor: 5.183

Review 9.  The Challenges in Developing Efficient and Robust Synthetic Homing Endonuclease Gene Drives.

Authors:  Sebald A N Verkuijl; Joshua X D Ang; Luke Alphey; Michael B Bonsall; Michelle A E Anderson
Journal:  Front Bioeng Biotechnol       Date:  2022-03-28

10.  Propagation of seminal toxins through binary expression gene drives could suppress populations.

Authors:  Juan Hurtado; Santiago Revale; Luciano M Matzkin
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

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