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10 December 2019 Scanning Electron Microscopy and Geometric Contour Morphometry for Identifying Eggs of Three Amazonian Species of Mansonia (Diptera: Culicidae)
Francisco Augusto da Silva Ferreira, Rejane de Castro Simões, Ruth Leila Ferreira-Keppler, Jeronimo Alencar, Vera Margarete Scarpassa, Wanderli Pedro Tadei
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Abstract

The eggs of three Amazonian species of the genus Mansonia (Diptera: Culicidae) were analyzed using morphological and morphometric characters. Eggs of Mansonia humeralisDyar & Knab, 1916 were morphologically different from those of Mansonia titillans (Walker, 1848) and Mansonia amazonensis (Theobald, 1901), which were more similar to each other according to linear and geometric morphometry. A principal component analysis generated from elliptic Fourier contour data (PC1—92.6% and PC2—2.61%) indicated that Ma. amazonensis and Ma. titillans are more similar to each other than either is to Ma. humeralis. Discriminant multivariate analysis was highly accurate with only four classification errors and a 90% accuracy rate. The results indicate that the three Amazonian species can be precisely distinguished in the egg stage and that geometric morphometry based on elliptic Fourier contours is a promising method for distinguishing eggs of species of Mansonia. An identification key based on egg morphology is provided to distinguish the four Neotropical species.

© The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Francisco Augusto da Silva Ferreira, Rejane de Castro Simões, Ruth Leila Ferreira-Keppler, Jeronimo Alencar, Vera Margarete Scarpassa, and Wanderli Pedro Tadei "Scanning Electron Microscopy and Geometric Contour Morphometry for Identifying Eggs of Three Amazonian Species of Mansonia (Diptera: Culicidae)," Journal of Medical Entomology 57(3), 745-754, (10 December 2019). https://doi.org/10.1093/jme/tjz240
Received: 5 October 2019; Accepted: 18 November 2019; Published: 10 December 2019
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