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Modelling the potential of genetic control of malaria mosquitoes at national scale

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 poten...

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Autores principales: North, Ace R., Burt, Austin, Godfray, H. Charles J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440076/
https://www.ncbi.nlm.nih.gov/pubmed/30922310
http://dx.doi.org/10.1186/s12915-019-0645-5
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author North, Ace R.
Burt, Austin
Godfray, H. Charles J.
author_facet North, Ace R.
Burt, Austin
Godfray, H. Charles J.
author_sort North, Ace R.
collection PubMed
description 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 10(6) km(2) 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12915-019-0645-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-64400762019-04-11 Modelling the potential of genetic control of malaria mosquitoes at national scale North, Ace R. Burt, Austin Godfray, H. Charles J. BMC Biol Research Article 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 10(6) km(2) 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12915-019-0645-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-29 /pmc/articles/PMC6440076/ /pubmed/30922310 http://dx.doi.org/10.1186/s12915-019-0645-5 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative 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.
spellingShingle Research Article
North, Ace R.
Burt, Austin
Godfray, H. Charles J.
Modelling the potential of genetic control of malaria mosquitoes at national scale
title Modelling the potential of genetic control of malaria mosquitoes at national scale
title_full Modelling the potential of genetic control of malaria mosquitoes at national scale
title_fullStr Modelling the potential of genetic control of malaria mosquitoes at national scale
title_full_unstemmed Modelling the potential of genetic control of malaria mosquitoes at national scale
title_short Modelling the potential of genetic control of malaria mosquitoes at national scale
title_sort modelling the potential of genetic control of malaria mosquitoes at national scale
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440076/
https://www.ncbi.nlm.nih.gov/pubmed/30922310
http://dx.doi.org/10.1186/s12915-019-0645-5
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