Unraveling Wing Shape Variation in Malaria Mosquitoes from the Arctic Edge: A Geometric Morphometric Study in Western Siberia

In Russia, Western Siberia, <i>Anopheles</i> from <i>maculipennis</i> subgroup comprises three vector species: <i>An. messeae</i>, <i>An. daciae</i>, <i>An. beklemishevi</i>, and the hybrid between <i>An. messeae</i> and <i>An. daciae</i> (<i>Anopheles</i> m-d), which exhibit complex cryptic morphological traits. Traditional morphological methods, such as egg morphology and exochorion coloration, have proven insufficient for reliably distinguishing these closely related species due to overlapping characteristics and high intra-species variability. To overcome these limitations, geometric morphometrics (GM) has emerged as a powerful tool for analyzing cryptic morphology. This article focuses on wing venation patterns, where GM provides precise, quantitative data based on defined anatomical landmarks, enabling detailed assessment of size and shape variation among species. Procrustes ANOVA, principal component analysis (PCA), and canonical variate analysis (CVA) were employed to assess shape variation and species differentiation. Centroid size and its relationship to shape variation were examined using multivariate regression. Despite significant morphological differences, the overlap observed in hybrids (<i>An.</i> m-d) reflects their intermediate position between the parental species. Our analyses revealed significant differences in wing shape and size among <i>An. messeae</i>, <i>An. daciae</i>, <i>An. beklemishevi</i>, and their hybrids, with hybrids showing intermediate morphologies. Landmarks on radial and medial veins were the most consistent contributors to species separation. No evidence of static allometry was detected, and wing shape differences were not explained by size. These findings demonstrate that wing morphometrics, combined with molecular identification, provides a reliable framework for species delimitation and surveillance of malaria vectors in temperate regions.