A theoretical approach to predicting the success of genetic manipulation of malaria mosquitoes in malaria control.
BACKGROUND
Mosquitoes that have been genetically modified to better encapsulate the malaria parasite Plasmodium falciparum are being considered as a possible tool in the control of malaria. Hopes for this have been raised with the identification of genes involved in the encapsulation response and with advances in the tools required to transform mosquitoes. However, we have only very little understanding of the conditions that would allow such genes to spread in natural populations.


METHODS
We present here a theoretical model that combines population genetical and epidemiological processes, thereby allowing one to predict not only these conditions (intensity of transmission, evolutionary cost of resistance, tools used to drive the genes) but also the impact of the spread of refractoriness on the prevalence of the disease.


RESULTS
The main conclusions are 1) that efficient transposons will generally be able to drive genes that confer refractoriness through populations even if there is a substantial (evolutionary) cost of refractoriness, but 2) that this will decrease malaria prevalence in the human population substantially only if refractoriness is close to 100% effective.


CONCLUSIONS
If refractoriness is less than 100% effective (because of, for example, environmentally induced variation in the effectiveness of the mosquito's immune response), control programmes based on genetic manipulation of mosquitoes will have very little impact on the epidemiology of malaria, at least in areas with intense transmission.
Boëte
Christophe
C
Laboratoire de Parasitologie Evolutive, CNRS UMR 7103, Université P. & M. Curie, Paris Cedex5, France. cboete@snv.jussieu.fr
Koella
Jacob C
JC
D000818:Animals; D030801:Animals, Genetically Modified; D009033:Culicidae / Q000235:genetics*; D004251:DNA Transposable Elements; D005260:Female; D006801:Humans; D007303:Insect Vectors / Q000235:genetics*; D007305:Insecticide Resistance / Q000235:genetics; D008288:Malaria / Q000453:epidemiology / Q000517:prevention & control; D008297:Male; D008954:Models, Biological; D009032:Mosquito Control; D015995:Prevalence; D012641:Selection, Genetic
D004251:DNA Transposable Elements