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Gene-drive suppression of mosquito populations in large cages as a bridge between lab and field

  • Andrew Hammond
  • , Paola Pollegioni
  • , Tania Persampieri
  • , Ace North
  • , Roxana Minuz
  • , Alessandro Trusso
  • , Alessandro Bucci
  • , Kyros Kyrou
  • , Ioanna Morianou
  • , Alekos Simoni
  • , Tony Nolan
  • , Ruth Müller
  • , Andrea Crisanti
  • Imperial College London
  • Johns Hopkins University
  • Polo di Genomica Genetica e Biologia
  • National Research Council Research Institute on Terrestrial Ecosystems
  • University of Oxford
  • Goethe University Frankfurt
  • Institute of Tropical Medicine Antwerp

Research output: Contribution to journalArticlepeer-review

112 Citations (Scopus)

Abstract

CRISPR-based gene-drives targeting the gene doublesex in the malaria vector Anopheles gambiae effectively suppressed the reproductive capability of mosquito populations reared in small laboratory cages. To bridge the gap between laboratory and the field, this gene-drive technology must be challenged with vector ecology.

Here we report the suppressive activity of the gene-drive in age-structured An. gambiae populations in large indoor cages that permit complex feeding and reproductive behaviours.

The gene-drive element spreads rapidly through the populations, fully supresses the population within one year and without selecting for resistance to the gene drive. Approximate Bayesian computation allowed retrospective inference of life-history parameters from the large cages and a more accurate prediction of gene-drive behaviour under more ecologically-relevant settings.

Generating data to bridge laboratory and field studies for invasive technologies is challenging. Our study represents a paradigm for the stepwise and sound development of vector control tools based on gene-drive.

Original languageEnglish
Article number4589
JournalNature Communications
Volume12
Issue number1
DOIs
Publication statusPublished - 28 Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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