The project advocates to study how adaptation of mosquito vectors to environmental modifications associated with global change impact their fitness and those life-history traits impacting vectorial capacity, in order to predict more accurately the epidemiological consequences of niche expansions and the spread of mosquito-borne pathogens. Such predictions are essential to adapt disease control programmes and avoid the emergence of vector-borne diseases. Toward this aim, the project will adapt the multi-state/multi-event capture-recapture analytical approach to the study of demographic parameters in natural mosquito populations. Individual capture histories will be obtained by 'tagging' mosquitoes with genetic fingerprints, using environmental DNA collected non-invasively. One of the aims is to verify whether the recent invasion of urban-polluted and coastal-brackish water habitats by populations of the Anopheles gambiae complex and Aedes aegypti, which are among the best vectors of malaria and dengue in the world, is adaptative, and to assess the cost of adaptation by comparing fitness trade-offs in reciprocally transplanted natural populations occurring in contrasting environments.
Project funding: ANR MoVe=>ADAPT (ANR-18-CE35-0006) 2019-2022
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