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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/49792
Title: Geometric morphometrics approach towards discrimination of three member species of Maculatus group in Thailand
Authors: Tanawat Chaiphongpachara
Patchara Sriwichai
Yudthana Samung
Jiraporn Ruangsittichai
Ronald Enrique Morales Vargas
Liwang Cui
Jetsumon Sattabongkot
Jean Pierre Dujardin
Suchada Sumruayphol
Université de Montpellier
Mahidol University
Morsani College of Medicine
Keywords: Agricultural and Biological Sciences;Immunology and Microbiology;Medicine
Issue Date: 1-Apr-2019
Citation: Acta Tropica. Vol.192, (2019), 66-74
Abstract: © 2019 Elsevier B.V. Members of the Maculatus group are important malaria vectors in the border regions of Thailand. However, the role of each species in malaria transmission remains unclear because of their highly similar morphologies, making them difficult to be differentiated. Whereas An. pseudowillmori may be identified by the color pattern of some scales on abdomen and wings, the distinction between An. maculatus and An. sawadwongporni relies on the wings only. Scales are labile structures, as they may be accidentally removed during capture and transportation to the laboratory. To discriminate among the species of this group, we tested the suitability of geometric techniques. Shape variables were used as input for discriminant analyses and validated reclassification. Both landmark- and outline-based geometric techniques disclosed significant differences between the three species. For the delicate An. maculatus - An. sawadwongporni distinction, the outline-based approach appeared as the most promising, with validated reclassification scores reaching 93%, as compared to 77% obtained by landmark data. For An. pseudowillmori, reclassification scores were 100% and 94%, respectively. Geometric morphometrics may provide an alternative and useful complement for discriminating members of the Maculatus group.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/49792
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061196745&origin=inward
ISSN: 18736254
0001706X
Appears in Collections:Scopus 2019

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