Outline-based geometric morphometrics: Wing cell differences for mosquito vector classification in the Tanaosri mountain range, Thailand
Issued Date
2024-02-01
Resource Type
ISSN
0001706X
eISSN
18736254
Scopus ID
2-s2.0-85180509244
Pubmed ID
38103585
Journal Title
Acta Tropica
Volume
250
Rights Holder(s)
SCOPUS
Bibliographic Citation
Acta Tropica Vol.250 (2024)
Suggested Citation
Laojun S., Changbunjong T., Sumruayphol S., Chaiphongpachara T. Outline-based geometric morphometrics: Wing cell differences for mosquito vector classification in the Tanaosri mountain range, Thailand. Acta Tropica Vol.250 (2024). doi:10.1016/j.actatropica.2023.107093 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/95520
Title
Outline-based geometric morphometrics: Wing cell differences for mosquito vector classification in the Tanaosri mountain range, Thailand
Corresponding Author(s)
Other Contributor(s)
Abstract
Recent studies have revealed taxonomic signals within the wing cells of certain mosquito species. In our study, wing cell differentiation among mosquito vectors from the Tanaosri mountain range in Thailand was evaluated using the outline-based geometric morphometric (GM) approach. Our focus was on four specific wing cells for GM analysis: the wing contour (external cell), the second submarginal cell (internal cell 1), the first posterior cell (internal cell 2), and the third posterior cell (internal cell 3). Before proceeding with the GM approach, the identity of seven mosquito genera and 21 species was confirmed using molecular techniques. Our validated classification tests demonstrated that the performance of mosquito species classification varies according to genus. Notably, three Aedes species exhibited the highest accuracy for both internal cell 2 and internal cell 3, each registering a score of 93.20 %. In the case of two Mansonia species, the wing contour displayed a remarkable accuracy of 98.57 %. Consequently, we suggest the use of the outline-based GM approach, particularly focusing on the wing contour, for differentiating Mansonia annulifera and Mansonia uniformis. In contrast, the highest accuracy for classifying Culex species was found in internal cell 1, at 75.51 %, highlighting the challenges due to similarities in wing cells within this genus. These findings provide a guideline for future applications of the outline-based GM approach, focusing on wing cells, as an alternative method to classify mosquito vector species.