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Review of gene drive modelling and implications for risk assessment of gene drive organisms

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  • Frieß, Johannes L.
  • Lalyer, Carina R.
  • Giese, Bernd
  • Simon, Samson
  • Otto, Mathias

Abstract

Synthetic gene drive (GD) systems constitute a form of novel invasive environmental biotechnology with far-reaching consequences beyond those of other known genetically modified organisms (GMOs). During the last 10 years, the development of GD systems has been closely linked to mathematical modelling which can provide feedback on how to achieve gene drive spread but also may be used to predict the ecological consequences of a gene drive release. GMOs, thus also GD systems, need to pass an environmental risk assessment (ERA) prior to a release into the environment. Models in this respect may play an important role because a release of GD organisms, even at a small scale, may not be reversible.

Suggested Citation

  • Frieß, Johannes L. & Lalyer, Carina R. & Giese, Bernd & Simon, Samson & Otto, Mathias, 2023. "Review of gene drive modelling and implications for risk assessment of gene drive organisms," Ecological Modelling, Elsevier, vol. 478(C).
    • Handle: RePEc:eee:ecomod:v:478:y:2023:i:c:s0304380023000133
    DOI: 10.1016/j.ecolmodel.2023.110285
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    References listed on IDEAS

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    1. Gerard Terradas & Anna B. Buchman & Jared B. Bennett & Isaiah Shriner & John M. Marshall & Omar S. Akbari & Ethan Bier, 2021. "Inherently confinable split-drive systems in Drosophila," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Krisztian Magori & Mathieu Legros & Molly E Puente & Dana A Focks & Thomas W Scott & Alun L Lloyd & Fred Gould, 2009. "Skeeter Buster: A Stochastic, Spatially Explicit Modeling Tool for Studying Aedes aegypti Population Replacement and Population Suppression Strategies," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 3(9), pages 1-18, September.
    3. Nikolai Windbichler & Miriam Menichelli & Philippos Aris Papathanos & Summer B. Thyme & Hui Li & Umut Y. Ulge & Blake T. Hovde & David Baker & Raymond J. Monnat & Austin Burt & Andrea Crisanti, 2011. "A synthetic homing endonuclease-based gene drive system in the human malaria mosquito," Nature, Nature, vol. 473(7346), pages 212-215, May.
    4. Fahse, Lorenz & Papastefanou, Phillip & Otto, Mathias, 2018. "Estimating acute mortality of Lepidoptera caused by the cultivation of insect-resistant Bt maize – The LepiX model," Ecological Modelling, Elsevier, vol. 371(C), pages 50-59.
    5. Kenichi W Okamoto & Michael A Robert & Alun L Lloyd & Fred Gould, 2013. "A Reduce and Replace Strategy for Suppressing Vector-Borne Diseases: Insights from a Stochastic, Spatial Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-16, December.
    6. Víctor López Del Amo & Alena L. Bishop & Héctor M. Sánchez C. & Jared B. Bennett & Xuechun Feng & John M. Marshall & Ethan Bier & Valentino M. Gantz, 2020. "A transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. Kevin M Esvelt & Neil J Gemmell, 2017. "Conservation demands safe gene drive," PLOS Biology, Public Library of Science, vol. 15(11), pages 1-8, November.
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