Modelling the spatial spread of a homing endonuclease gene in a mosquito population
Author(s)
North, A
Burt, A
Godfray, HCJ
Type
Journal Article
Abstract
1. Homing endonuclease genes (HEGs) exist naturally in many single-celled organisms and can show extremely strong genetic drive allowing them to spread through populations into which they are introduced. They are being investigated as tools to manipulate the populations of important vectors of human disease, in particular the mosquitoes that transmit malaria. Before HEGs can be deployed, it is important to study their spatial spread in order to design efficient release strategies. 2. A spatially explicit model is developed to study the spread of a HEG through a landscape whose structure is defined by the distribution of mosquito breeding and feeding sites. The model is motivated by the biology of the major vectors of malaria in Africa. The conditions for spread, fixation and loss of two major types of HEG are explored in different landscapes. 3. In landscapes where mosquito resources are abundant, the conditions for spread are well approximated by a mean-field model. Where a HEG imposes a genetic load, it can cause population extinction, though spatial models more often predict population suppression. 4. In certain types of landscapes where mosquito resources are rare, an introduced HEG may be prevented from moving between local mosquito populations and so a simple release strategy is unlikely to be effective, yet if the HEG succeeds in spreading population extinction is a feasible outcome. Increasing the number of release sites at the expense of releasing fewer mosquitoes per site reduces the probability that a HEG will fail. 5. Synthesis and applications. The model presented asks for the first time how the spatial structure of mosquito populations will influence the effectiveness of a technology that is being rapidly developed for vector control. If homing endonuclease genes (HEGs) are to be used in this way, we have qualified the importance of accounting for landscape characteristics in both the execution and the expectation of their application. The next stage is to use the model to study the spread of HEGs through real landscapes where releases may take place, something that will be facilitated by the results of the present study.
Date Issued
2013-07-23
Online Publication Date
2013-07-23
2017-03-30T09:42:59Z
Date Acceptance
2013-06-12
ISSN
1365-2664
Publisher
Wiley
Start Page
1216
End Page
1225
Journal / Book Title
Journal of Applied Ecology
Volume
50
Issue
5
Copyright Statement
© 2013 The Authors. Journal of Applied Ecology © 2013 British Ecological Society
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Source Database
web-of-science
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000325079800015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Biodiversity Conservation
Ecology
Biodiversity & Conservation
Environmental Sciences & Ecology
ECOLOGY
Anopheles
epidemiology
malaria
spatial modelling
spatial spread
vector-borne disease
ANOPHELES-GAMBIAE
INSECTICIDE RESISTANCE
MALARIA CONTROL
ARTEMISININ
DYNAMICS
VECTORS
DISEASE
SYSTEM
0501 Ecological Applications
0502 Environmental Science And Management
0602 Ecology
Publication Status
Published