Delineation of the cuticular hydrocarbon biosynthetic pathway in malaria vectors is a key step in understanding how mosquitoes adapt to anthropogenic change and vector control interventions.

A common chromosome inversion in African malaria mosquito (Anopheles gambiae) is associated with differences in malaria infection, adult resting behavior and ecology, and may aid the most efficient vectors to evade malaria control.

Large-scale monitoring of Anopheles populations benefits from a robust and accurate species identification and plasmodium detection method that is applicable to the entire genus.

Toll signaling modulates hemocyte differentiation into the megacyte lineage and their recruitment to the midgut greatly enhances mosquito immunity against Plasmodium.

Minimal genetic modifications of endogenous mosquito genes allow the tissue-specific expression of anti-malarial effectors and convert them into efficient non-autonomous gene drives.

RNAseq profiles of female Aedes body parts, gut regions, and blood-fed guts provide insight into the anatomical patterning of immune and digestive function, and demonstrate the sequential induction of multiple peptidase cohorts over the course of blood meal digestion.

Single-cell RNA-seq analysis reveals an increased complexity of mosquito hemocytes, enabling the functional and molecular characterization of immune cell sub-populations in Anopheles gambiae.

A systematic review with multilevel modelling quantified the positive association between human antibodies to Anopheles salivary proteins with Anopheles-human biting rate and epidemiological measures of malaria transmission, highlighting their potential as a tool to measure vector exposure and malaria transmission.

Heterogeneity in exposure to malaria vectors, including sporozoite-infected mosquitoes, contributes to the variation in human infection risk and amplifies the local transmission potential.

Neural networks allow fast and accurate prediction of individual spatial locations from genotypes or sequencing data.