Wing sexual dimorphism in Aedes fluviatilis (Diptera: Culicidae).

Culicidae mosquitoes are important vectors of pathogens; however, males and females have different responses to selective pressures, leading to distinct evolutionary outcomes. A better understanding of this phenomenon is crucial to establish effective control strategies for this mosquito. Although Aedes fluviatilis is considered a secondary vector for several diseases, there is a dearth of data about its ecology, population structure and sexual dimorphism. The goal of this study was therefore to assess sexual dimorphism patterns in Aedes fluviatilis. Wings from males and females were analyzed both by geometric morphometrics. Pairwise cross-validated reclassification tests indicated significant sexual dimorphism between specimens from each gender. Canonical variation analysis showed significant morphometrical differences between genders, indicating that sexual dimorphism might be a result of evolutionary pressures in this species and may be useful when developing control strategies for this mosquito.

Morphometric Wing Characters as a Tool for Mosquito Identification.

Mosquitoes are responsible for the transmission of important infectious diseases, causing millions of deaths every year and endangering approximately 3 billion people around the world. As such, precise identification of mosquito species is crucial for an understanding of epidemiological patterns of disease transmission. Currently, the most common method of mosquito identification relies on morphological taxonomic keys, which do not always distinguish cryptic species. However, wing geometric morphometrics is a promising tool for the identification of vector mosquitoes, sibling and cryptic species included. This study therefore sought to accurately identify mosquito species from the three most epidemiologically important mosquito genera using wing morphometrics. Twelve mosquito species from three epidemiologically important genera (Aedes, Anopheles and Culex) were collected and identified by taxonomic keys. Next, the right wing of each adult female mosquito was removed and photographed, and the coordinates of eighteen digitized landmarks at the intersections of wing veins were collected. The allometric influence was assessed, and canonical variate analysis and thin-plate splines were used for species identification. Cross-validated reclassification tests were performed for each individual, and a Neighbor Joining tree was constructed to illustrate species segregation patterns. The analyses were carried out and the graphs plotted with TpsUtil 1.29, TpsRelw 1.39, MorphoJ 1.02 and Past 2.17c. Canonical variate analysis for Aedes, Anopheles and Culex genera showed three clear clusters in morphospace, correctly distinguishing the three mosquito genera, and pairwise cross-validated reclassification resulted in at least 99% accuracy; subgenera were also identified correctly with a mean accuracy of 96%, and in 88 of the 132 possible comparisons, species were identified with 100% accuracy after the data was subjected to reclassification. Our results showed that Aedes, Culex and Anopheles were correctly distinguished by wing shape. For the lower hierarchical levels (subgenera and species), wing geometric morphometrics was also efficient, resulting in high reclassification scores.