Abstract
Mosquitoes are hematophagous insects that transmit parasites and pathogens with devastating effects on humans, particularly in subtropical regions. Different mosquito species display various behaviors, breeding sites, and geographic distribution; however, they can be difficult to distinguish in the field due to morphological similarities between species and damage caused during trapping and transportation. Vector control methods for controlling mosquito-borne disease epidemics require an understanding of which vector species are present in the area as well as the epidemiological patterns of disease transmission. Although molecular techniques can accurately distinguish between mosquito species, they are costly and laborious, making them unsuitable for extensive use in the field. Thus, alternative techniques are required. Geometric morphometrics (GM) is a rapid and inexpensive technique that can be used to analyze the size, shape, and shape variation of individuals based on a range of traits. Here, we used GM to analyze the wings of 1,040 female mosquitoes from 12 different species in Thailand. The right wing of each specimen was removed, imaged microscopically, and digitized using 17 landmarks. Wing shape variation among genera and species was analyzed using canonical variate analysis (CVA), while discriminant function analysis was used to cross-validate classification reliability based on Mahalanobis distances. Phenetic relationships were constructed to illustrate the discrimination patterns for genera and species. CVA of the morphological variation among Aedes, Anopheles, Armigeres, Culex, and Mansonia mosquito genera revealed five clusters. In particular, we demonstrated a high percentage of correctly-distinguished samples among Aedes (97.48%), Armigeres (96.15%), Culex (90.07%), and Mansonia (91.67%), but not Anopheles (64.54%). Together, these findings suggest that wing landmark-based GM analysis is an efficient method for identifying mosquito species, particularly among the Aedes, Armigeres, Culex, and Mansonia genera.
Highlights
Mosquitoes are hematophagous insects that are considered to be one of the most dangerous vectors in the world due to their potential to transmit parasites and pathogens responsible for serious diseases, including malaria, filariasis, yellow fever, dengue, and Japanese encephalitis [1]
The scatter plot of CV1 and CV2 showed that Aedes and Armigeres specimens were separated into distinct groups, while Mansonia and Culexs specimens overlapped considerably with Anopheles specimens (Fig 3)
Morphological analysis using taxonomic keys is currently the standard method for identifying mosquito species; wing Geometric morphometrics (GM) analysis represents a reliable and inexpensive alternative that yields satisfactory results when discriminating between morphologically analogous species
Summary
Mosquitoes are hematophagous insects that are considered to be one of the most dangerous vectors in the world due to their potential to transmit parasites and pathogens responsible for serious diseases, including malaria, filariasis, yellow fever, dengue, and Japanese encephalitis [1]. (malaria, lymphatic filariasis, and Japanese encephalitis), Culex spp. In Thailand, there are over 400 species of mosquito and the major vectors of mosquito-borne diseases are Anopheles spp. Vector control methods are an important strategy for controlling mosquito-borne disease epidemics [7]; their success relies on a good understanding of the biology and geographic distribution of mosquito vectors [8]. Novel alternatives to classical morphology or DNA identification are required to identify mosquito vectors in the field
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.