4.6 Article

Predicting the spread and persistence of genetically modified dominant sterile male mosquitoes

Journal

PARASITES & VECTORS
Volume 14, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13071-021-04982-1

Keywords

Entomological survey data; Sterile male; Expert elicitation; Bayesian hierarchical model; Monitoring

Funding

  1. Foundation for the National Institutes of Health
  2. CSIRO Health and Biosecurity
  3. CSIRO Data61
  4. Target Malaria

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Reproductive containment provides a chance for staged-release genetic control strategies of malaria vectors. A model was developed to study the spread and persistence of genetically modified sterile male mosquitoes, with results indicating that they will remain localized and persist for a short duration.
Background: Reproductive containment provides an opportunity to implement a staged-release strategy for genetic control of malaria vectors, in particular allowing predictions about the spread and persistence of (self-limiting) sterile and male-biased strains to be compared to outcomes before moving to (self-sustaining) gene-drive strains. Methods: In this study, we: (i) describe a diffusion-advection-reaction model of the spread and persistence of a single cohort of male mosquitoes; (ii) elicit informative prior distributions for model parameters, for wild-type (WT) and genetically modified dominant sterile strains (DSM); (iii) estimate posterior distributions for WT strains using data from published mark-recapture-release (MRR) experiments, with inference performed through the Delayed-Rejection Adaptive Metropolis algorithm; and (iv) weight prior distributions, in order to make predictions about genetically modified strains using Bayes factors calculated for the WT strains. Results: If a single cohort of 5000 genetically modified dominant sterile male mosquitoes are released at the same location as previous MRR experiments with their WT counterparts, there is a 90% probability that the expected number of released mosquitoes will fall to < 1 in 10 days, and that by 12 days there will be a 99% probability that no mosquitoes will be found more than 150 m from the release location. Conclusions:Spread and persistence models should form a key component of risk assessments of novel genetic control strategies for malaria vectors. Our predictions, used in an independent risk assessment, suggest that genetically modified sterile male mosquitoes will remain within the locality of the release site, and that they will persist for a very limited amount of time. Data gathered following the release of these mosquitoes will enable us to test the accuracy of these predictions and also provide a means to update parameter distributions for genetic strains in a coherent (Bayesian) framework. We anticipate this will provide additional insights about how to conduct probabilistic risk assessments of stage-released genetically modified mosquitoes.

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