Limited association between and infections in natural populations of the major malaria mosquito .

Since the discovery of natural malaria vector populations infected by the endosymbiont bacterium , a renewed interest has arisen for using this bacterium as an alternative for malaria control. Among naturally infected mosquitoes, , a major malaria mosquito in Central Africa, exhibits one of the highest prevalences of infection. To better understand whether this maternally inherited bacterium could be used for malaria control, we investigated influence in populations naturally infected by the malaria parasite .

A chromosomal reference genome sequence for the malaria mosquito, , Evans, 1925.

We present a genome assembly from an individual male (the malaria mosquito; Arthropoda; Insecta; Diptera; Culicidae), from a wild population in Cameroon. The genome sequence is 271 megabases in span. The majority of the assembly is scaffolded into three chromosomal pseudomolecules with the X sex chromosome assembled.

Plasmodium malariae contributes to high levels of malaria transmission in a forest-savannah transition area in Cameroon.

Background: Malaria control efforts are highly skewed towards Plasmodium falciparum while overlooking other Plasmodium species such as P. malariae. A better understanding of the role of Plasmodium species other than P.

Integrated xenosurveillance of Loa loa, Wuchereria bancrofti, Mansonella perstans and Plasmodium falciparum using mosquito carcasses and faeces: A pilot study in Cameroon.

Background: Community presence of loiasis must be determined before mass drug administration programmes for lymphatic filariasis and onchocerciasis can be implemented. However, taking human blood samples for loiasis surveillance is invasive and operationally challenging. A xenosurveillance approach based on the molecular screening of mosquitoes and their excreta/feces (E/F) for Loa loa DNA may provide a non-invasive method for detecting the community presence of loiasis.

Habitat suitability and ecological niche profile of major malaria vectors in Cameroon.

Background: Suitability of environmental conditions determines a species distribution in space and time. Understanding and modelling the ecological niche of mosquito disease vectors can, therefore, be a powerful predictor of the risk of exposure to the pathogens they transmit. In Africa, five anophelines are responsible for over 95% of total malaria transmission.