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Simubali, L.

Publications and source records attributed to Simubali, L..

3 recordsLinked to original sources

Multi-site phenotypic characterisation of Kisumu colonies for comparison of insecticide susceptibility between testing centres

Testing of insecticides and insecticide-based vector control tools relies on the use of bioassays whereby insects are exposed and mortality, or another relevant entomological endpoint, is measured. To be able to compare results between products and across time and space standard laboratory strains are used. Insecticide-susceptible strains are often used as comparators in studies involving insecticide-resistant populations. Kisumu is a long-established, widely-used insecticide-susceptible strain of Anopheles gambiae. In this study, 16 facilities across different countries exposed their Kisumu colonies aged 3-5 days to four insecticides (permethrin, alpha-cypermethrin, DDT and pirimiphos-methyl) at a range of concentrations in WHO tube assays to assess susceptibility. Insecticide-treated filter papers were made at the Liverpool School of Tropical Medicine and sent to testing centres, along with a standard protocol and testing conditions requirements, to standardise testing as much as possible. A first observation was that DDT results were affected by the use of Risella oil, the WHO-recommended carrier oil but immiscible in acetone, leading to uneven coating of papers and increased variability in bioassay results (40x variance between colonies). Bioassay data generated by the testing facilities suggest a wide range of susceptibility to different insecticides between colonies of Kisumu: LC50 values between colonies differed, though not significantly, by up to 4x for permethrin, 6x for pirimiphos-methyl, and 15x for alpha-cypermethrin. Some colonies are classified as insecticide resistant based on the WHO definition of <98% mortality on exposure to a discriminating concentration. The assumption that Kisumu is a standard susceptible strain, consistent between facilities is challenged, which has implications when comparing results between studies. We propose genotypic analysis of the colonies to identify signs of resistance markers indicative of contamination from resistant strains or wild mosquitoes, and generation of guidance to support the maintenance and monitoring of susceptible mosquito strains.

zoology↗

Mosquitoes of Macha: new mosquito species records from Macha and surrounding locations in southern Zambia with photographs

The biodiversity of mosquito taxa beyond Anopheles malaria vectors has been understudied in many parts of Africa. Here, we provide a new species record of mosquitoes from Macha and its surrounding locations in southern Zambia, as well as an updated list of species from the region. With the addition of 19 new species records in this region, the total list of mosquito species reported in Macha is now 46. We present high-resolution focus-stacked photographs of some of these species, many of which were only previously available as text or drawing descriptions in mosquito identification books and articles. We also include 34 COI sequences from Zambian mosquito species, five of which had no prior genetic information on Genbank. This visual guide as well as additional COI sequences provide essential tools for accurate mosquito surveillance in southern Zambia and establishes a baseline data for future invasive species monitoring.

zoology↗

A semi-field system for quantifying Anopheles gambiae attraction to human scent

Variability in the chemical composition of human scent has the potential to modulate mosquito attraction to certain humans. We have engineered a large-scale, semi-field system in Zambia for quantifying mosquito olfactory preferences towards whole body odor sourced from different humans under naturalistic conditions. In a flight cage arena with infrared tracking, we document that the African malaria mosquito Anopheles gambiae hierarchically prefers to land on heated targets mimicking human skin temperature when they are baited with carbon dioxide (CO2) over background air, human body odor over CO2, and the scent of one individual over another. In a six-choice assay configuration, we further identify humans at both ends of the attractiveness spectrum whose scent is differentially attractive to An. gambiae relative to other individuals. We demonstrate integrative use of this multi-choice olfactory assay with whole body volatilomics, establishing a powerful method for discovery of human odorants modulating heterogeneity in biting risk at enhanced throughput.

animal behavior and cognition↗