Literature DB >> 33630838

Designing gene drives to limit spillover to non-target populations.

Gili Greenbaum1, Marcus W Feldman2, Noah A Rosenberg2, Jaehee Kim2.   

Abstract

The prospect of utilizing CRISPR-based gene-drive technology for controlling populations has generated much excitement. However, the potential for spillovers of gene-drive alleles from the target population to non-target populations has raised concerns. Here, using mathematical models, we investigate the possibility of limiting spillovers to non-target populations by designing differential-targeting gene drives, in which the expected equilibrium gene-drive allele frequencies are high in the target population but low in the non-target population. We find that achieving differential targeting is possible with certain configurations of gene-drive parameters, but, in most cases, only under relatively low migration rates between populations. Under high migration, differential targeting is possible only in a narrow region of the parameter space. Because fixation of the gene drive in the non-target population could severely disrupt ecosystems, we outline possible ways to avoid this outcome. We apply our model to two potential applications of gene drives-field trials for malaria-vector gene drives and control of invasive species on islands. We discuss theoretical predictions of key requirements for differential targeting and their practical implications.

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Year:  2021        PMID: 33630838      PMCID: PMC7943199          DOI: 10.1371/journal.pgen.1009278

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  62 in total

Review 1.  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

2.  Can CRISPR-Cas9 gene drives curb malaria?

Authors:  Luke Alphey
Journal:  Nat Biotechnol       Date:  2016-02       Impact factor: 54.908

3.  Experimental and Theoretical Analysis of the "Sex-Ratio" Polymorphism in DROSOPHILA PSEUDOOBSCURA.

Authors:  J W Curtsinger; M W Feldman
Journal:  Genetics       Date:  1980-02       Impact factor: 4.562

4.  Pathway to Deployment of Gene Drive Mosquitoes as a Potential Biocontrol Tool for Elimination of Malaria in Sub-Saharan Africa: Recommendations of a Scientific Working Group.

Authors:  Stephanie James; Frank H Collins; Philip A Welkhoff; Claudia Emerson; H Charles J Godfray; Michael Gottlieb; Brian Greenwood; Steve W Lindsay; Charles M Mbogo; Fredros O Okumu; Hector Quemada; Moussa Savadogo; Jerome A Singh; Karen H Tountas; Yeya T Touré
Journal:  Am J Trop Med Hyg       Date:  2018-06       Impact factor: 2.345

5.  Dodging silver bullets: good CRISPR gene-drive design is critical for eradicating exotic vertebrates.

Authors:  Thomas A A Prowse; Phillip Cassey; Joshua V Ross; Chandran Pfitzner; Talia A Wittmann; Paul Thomas
Journal:  Proc Biol Sci       Date:  2017-08-16       Impact factor: 5.349

6.  ANALYSIS OF A GENERAL POPULATION GENETIC MODEL OF MEIOTIC DRIVE.

Authors:  D L Hartl
Journal:  Evolution       Date:  1970-09       Impact factor: 3.694

7.  Confinement of gene drive systems to local populations: a comparative analysis.

Authors:  John M Marshall; Bruce A Hay
Journal:  J Theor Biol       Date:  2011-11-09       Impact factor: 2.691

8.  Genetic diversity of the African malaria vector Anopheles gambiae.

Authors: 
Journal:  Nature       Date:  2017-11-29       Impact factor: 49.962

9.  Current CRISPR gene drive systems are likely to be highly invasive in wild populations.

Authors:  Charleston Noble; Ben Adlam; George M Church; Kevin M Esvelt; Martin A Nowak
Journal:  Elife       Date:  2018-06-19       Impact factor: 8.140

10.  Evolutionary dynamics of CRISPR gene drives.

Authors:  Charleston Noble; Jason Olejarz; Kevin M Esvelt; George M Church; Martin A Nowak
Journal:  Sci Adv       Date:  2017-04-05       Impact factor: 14.136

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  1 in total

1.  Evading resistance to gene drives.

Authors:  Richard Gomulkiewicz; Micki L Thies; James J Bull
Journal:  Genetics       Date:  2021-02-09       Impact factor: 4.562

  1 in total

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