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Interactive cost of Plasmodium infection and insecticide resistance in the malaria vector Anopheles gambiae
Insecticide resistance raises concerns for the control of vector-borne diseases. However, its impact on parasite transmission could be diverse when considering the ecological interactions between vector and parasite. Thus we investigated the fitness cost associated with insecticide resistance and Pl...
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Published in: | Scientific reports 2016-07, Vol.6 (1), p.29755-29755, Article 29755 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Insecticide resistance raises concerns for the control of vector-borne diseases. However, its impact on parasite transmission could be diverse when considering the ecological interactions between vector and parasite. Thus we investigated the fitness cost associated with insecticide resistance and
Plasmodium falciparum
infection as well as their interactive cost on
Anopheles gambiae
survival and fecundity. In absence of infection, we observed a cost on fecundity associated with insecticide resistance. However, survival was higher for mosquito bearing the
kdr
mutation and equal for those with the
ace-1
R
mutation compared to their insecticide susceptible counterparts. Interestingly,
Plasmodium
infection reduced survival only in the insecticide resistant strains but not in the susceptible one and infection was associated with an increase in fecundity independently of the strain considered. This study provides evidence for a survival cost associated with infection by
Plasmodium
parasite only in mosquito selected for insecticide resistance. This suggests that the selection of insecticide resistance mutation may have disturbed the interaction between parasites and vectors, resulting in increased cost of infection. Considering the fitness cost as well as other ecological aspects of this natural mosquito-parasite combination is important to predict the epidemiological impact of insecticide resistance. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/srep29755 |