Modelling the potential of genetic control of malaria mosquitoes at national scale
File(s)North_Modelling the potential_BMC.pdf (2.76 MB)
Published version
Author(s)
North, Ace R
Burt, Austin
Godfray, H Charles J
Type
Journal Article
Abstract
BACKGROUND: The persistence of malaria in large parts of sub-Saharan Africa has motivated the development of novel tools to complement existing control programmes, including gene-drive technologies to modify mosquito vector populations. Here, we use a stochastic simulation model to explore the potential of using a driving-Y chromosome to suppress vector populations in a 106 km2 area of West Africa including all of Burkina Faso. RESULTS: The consequence of driving-Y introductions is predicted to vary across the landscape, causing elimination of the target species in some regions and suppression in others. We explore how this variation is determined by environmental conditions, mosquito behaviour, and the properties of the gene-drive. Seasonality is particularly important, and we find population elimination is more likely in regions with mild dry seasons whereas suppression is more likely in regions with strong seasonality. CONCLUSIONS: Despite the spatial heterogeneity, we suggest that repeated introductions of modified mosquitoes over a few years into a small fraction of human settlements may be sufficient to substantially reduce the overall number of mosquitoes across the entire geographic area.
Date Issued
2019-03-29
Date Acceptance
2019-03-06
Citation
BMC Biology, 2019, 17 (1)
ISSN
1741-7007
Publisher
BioMed Central
Journal / Book Title
BMC Biology
Volume
17
Issue
1
Copyright Statement
© The Author(s). 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, andreproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to theCreative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Sponsor
Bill & Melinda Gates Foundation
Silicon Valley Community Foundation
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30922310
PII: 10.1186/s12915-019-0645-5
Grant Number
OPP1141988
N/A
Subjects
Driving-Y
Gene-drive
Malaria
Mosquito
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 26