Wing morphometrics of medically and forensically important muscid flies (Diptera: Muscidae)

Limsopatham, Kwankamol; Klong-klaew, Tunwadee; Fufuang, Nuttanon; Sanit, Sangob; Sukontason, Kabkaew L.; Sukontason, Kom; Somboon, Pradya; Sontigun, Narin

doi:10.1016/j.actatropica.2021.106062

Cited by 9 publications

(7 citation statements)

References 35 publications

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“…The highlights of the GM technique are that it is inexpensive, rapid, and does not require sophisticated equipment 31 . This technique has been used to distinguish members of groups of insects that are difficult to identify morphologically, such as horse flies (Tabanidae) 32 , stable flies (Muscidae) 33 , muscid flies (Muscidae) 34 , soldier castes (Rhinotermitidae) 35 , and mosquitoes (Culicidae) 30 , 36 , 37 . Recently, GM techniques were successful in identifying species members within malaria vector groups in Thailand, including the Maculatus group 38 and the Minimus complex 39 .…”

Section: Introductionmentioning

confidence: 99%

Geometric morphometrics versus DNA barcoding for the identification of malaria vectors Anopheles dirus and An. baimaii in the Thai-Cambodia border

Chaiphongpachara

Changbunjong

Sumruayphol

et al. 2022

Sci Rep

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Anopheles (Cellia) dirus Peyton & Harrison and Anopheles baimaii Sallum & Peyton are sibling species within the Dirus complex belonging to the Leucosphyrus group, and have been incriminated as primary vectors of malaria in Thailand. In the present study, DNA barcoding and geometric morphometrics were used to distinguish between An. dirus and An. baimaii in the international border areas, Trat Province, eastern Thailand. Our results revealed that DNA barcoding based on the cytochrome c oxidase subunit I gene could not be used to distinguish An. dirus from An. baimaii. The overlapping values between intra- and interspecific genetic divergence indicated no barcoding gap present for An. dirus and An. baimaii (ranging from 0 to 0.99%). However, the results of the geometric morphometric analysis based on the wing shape clearly distinguished An. dirus and An. baimaii, with 92.42% of specimens assigned to the correct species. We concluded that geometric morphometrics is an effective tool for the correct species identification of these two malaria vectors. Our findings could be used to make entomological surveillance information more accurate, leading to further effective mosquito control planning in Thailand and other countries in Southeast Asia.

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Section: Introductionmentioning

confidence: 99%

Geometric morphometrics versus DNA barcoding for the identification of malaria vectors Anopheles dirus and An. baimaii in the Thai-Cambodia border

Chaiphongpachara

Changbunjong

Sumruayphol

et al. 2022

Sci Rep

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“…Possibly, this happened because the size of insect structures is directly influenced by temperature, which potentiates the effect of size on shape. In other Diptera species, allometry was also identified (Sontigun et al 2019, Oliveira-Christe et al 2020, Limsopatham et al 2021. Sontigun et al (2017) found a low allometric effect that did not impact the identification of blowflies.…”

Section: Allometry Discussionmentioning

confidence: 94%

“…Geometric Morphometry applied to wings is used to elucidate evolutionary effects, influence of environmental factors and ecological relationships (Chazot et al 2016;Ivorra et al 2019;Lemic et al 2020), in addition to serving as a complement to molecular analyses (Sauer et al 2020). Wing shape has been widely used to identify differences between species (Sontigun et al 2019;Limsopatham et al 2021) and between populations (Limsopatham et al 2018). The GM of wing size is studied along with shape (Garzón and Schweigmann 2018), as it can influence wing shape, an association known as allometry (Benítez et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Size does matter: intraspecific geometric morphometric analysis of wings of the blowfly Chrysomya albiceps (Diptera: Calliphoridae)

et al. 2022

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“…In the literature, measurable differences in the wing venation patterns of males and females of some calliphorids have been reported [26]. However, species-specific clusters containing both male and female samples that are more or less identifiable using wing shape geometric morphometric data have also been reported in calliphorids [15], sarcophagids [16], and muscids [42]. For future work, expanding the coverage of the training samples to include female specimens would be important to resolve this issue.…”

Section: Discussionmentioning

confidence: 99%

Accurate Identification of Fly Species in Forensic, Medical and Veterinary Entomology using Wing Venation Patterns

Ling

Ivorra

Heo

et al. 2023

Preprint

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In forensic, medical and veterinary entomology, the ease and affordability of image data acquisition have resulted in whole-image analysis becoming an invaluable approach for species identification. Krawtchouk moment invariants are a classical mathematical transformation that can extract local features from an image, thus allowing subtle species-specific biological variations to be accentuated for subsequent analyses. We extracted Krawtchouk moment invariant features from binarised wing images of 759 male fly specimens from the Calliphoridae, Sarcophagidae, and Muscidae families (13 species and a species variant). Subsequently, we trained the Generalized, Unbiased, Interaction Detection and Estimation (GUIDE) random forests classifier using linear discriminants derived from these features and inferred the species identity of specimens from the test samples. Five-fold cross validation results show a 98.56 ± 0.38% (standard error) identification accuracy at the family level, and a 91.04 ± 1.33% identification accuracy at the species level. The mean F1-score of 0.89 ± 0.02 reflects good balance of precision and recall properties of the model. The present study consolidates findings from previous small pilot studies of the usefulness of wing venation patterns for inferring species identities. Thus, the stage is set for the development of a mature data analytic ecosystem for routine computer image-based identification of fly species that are of forensic, medical, and veterinary importance.

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Wing morphometrics of medically and forensically important muscid flies (Diptera: Muscidae)

Cited by 9 publications

References 35 publications

Geometric morphometrics versus DNA barcoding for the identification of malaria vectors Anopheles dirus and An. baimaii in the Thai-Cambodia border

Geometric morphometrics versus DNA barcoding for the identification of malaria vectors Anopheles dirus and An. baimaii in the Thai-Cambodia border

Size does matter: intraspecific geometric morphometric analysis of wings of the blowfly Chrysomya albiceps (Diptera: Calliphoridae)

Accurate Identification of Fly Species in Forensic, Medical and Veterinary Entomology using Wing Venation Patterns

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