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Anti-CRISPR Anopheles mosquitoes inhibit gene drive spread under challenging behavioural conditions in large cages

Author

Listed:
  • Rocco D’Amato

    (Genetics and Biology (Polo GGB))

  • Chrysanthi Taxiarchi

    (Imperial College London)

  • Marco Galardini

    (Boston University
    a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI)
    Hannover Medical School (MHH))

  • Alessandro Trusso

    (Genetics and Biology (Polo GGB))

  • Roxana L. Minuz

    (Genetics and Biology (Polo GGB))

  • Silvia Grilli

    (Imperial College London)

  • Alastair G. T. Somerville

    (Imperial College London)

  • Dammy Shittu

    (Imperial College London)

  • Ahmad S. Khalil

    (Boston University
    Boston University
    Harvard University)

  • Roberto Galizi

    (Keele University)

  • Andrea Crisanti

    (Imperial College London
    University of Padova)

  • Alekos Simoni

    (Genetics and Biology (Polo GGB)
    Imperial College London)

  • Ruth Müller

    (Genetics and Biology (Polo GGB)
    Institute of Tropical Medicine)

Abstract

CRISPR-based gene drives have the potential to spread within populations and are considered as promising vector control tools. A doublesex-targeting gene drive was able to suppress laboratory Anopheles mosquito populations in small and large cages, and it is considered for field application. Challenges related to the field-use of gene drives and the evolving regulatory framework suggest that systems able to modulate or revert the action of gene drives, could be part of post-release risk-mitigation plans. In this study, we challenge an AcrIIA4-based anti-drive to inhibit gene drive spread in age-structured Anopheles gambiae population under complex feeding and behavioural conditions. A stochastic model predicts the experimentally-observed genotype dynamics in age-structured populations in medium-sized cages and highlights the necessity of large-sized cage trials. These experiments and experimental-modelling framework demonstrate the effectiveness of the anti-drive in different scenarios, providing further corroboration for its use in controlling the spread of gene drive in Anopheles.

Suggested Citation

  • Rocco D’Amato & Chrysanthi Taxiarchi & Marco Galardini & Alessandro Trusso & Roxana L. Minuz & Silvia Grilli & Alastair G. T. Somerville & Dammy Shittu & Ahmad S. Khalil & Roberto Galizi & Andrea Cris, 2024. "Anti-CRISPR Anopheles mosquitoes inhibit gene drive spread under challenging behavioural conditions in large cages," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44907-x
    DOI: 10.1038/s41467-024-44907-x
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    References listed on IDEAS

    as
    1. Chrysanthi Taxiarchi & Andrea Beaghton & Nayomi Illansinhage Don & Kyros Kyrou & Matthew Gribble & Dammy Shittu & Scott P. Collins & Chase L. Beisel & Roberto Galizi & Andrea Crisanti, 2021. "A genetically encoded anti-CRISPR protein constrains gene drive spread and prevents population suppression," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Roberto Galizi & Lindsey A. Doyle & Miriam Menichelli & Federica Bernardini & Anne Deredec & Austin Burt & Barry L. Stoddard & Nikolai Windbichler & Andrea Crisanti, 2014. "A synthetic sex ratio distortion system for the control of the human malaria mosquito," Nature Communications, Nature, vol. 5(1), pages 1-8, September.
    3. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
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