Published September 30, 2019 | Version v1
Journal article Open

Wing geometric morphometrics as a tool for taxonomic identification of two fly species (Diptera: Muscidae) of forensic relevance

  • 1. Department of Morphological and Forensic Sciences. School of Biomedical and Technological Sciences. Faculty of Health Sciences, Universidad de Carabobo, Valencia, Venezuela
  • 2. Research Group on Population and Environment, Universidad Regional Amazónica Ikiam, Napo, Ecuador.
  • 3. Center of Studies in Applied Zoology, Universidad de Carabobo, Valencia, Venezuela.

Description

The taxonomic identification of fly species through wing geometry is a helpful tool for entomologists and
officials involved in forensic research, who not necessarily require expertise on insect taxonomy.
Members of the Muscidae family are relevant sources of evidence in forensic entomology; however,
developing countries often lack experts in the taxonomical identification of essential species for the
assessment of aspects such as the minimum postmortem interval (mPMI). Our study proposes a low-cost,
fast, and technologically-accessible quantitative tool for the identification of Atherigona orientalis and
Ophyra aenescens, associated with human corpses at advanced states of decomposition. We propose a tool
that is based on the geometric variability observed in eight homologous landmarks on wing veins and the
interpretation of morphometric estimates after a generalized Procrustes analysis. The use of a geometric
approach for effective discrimination between Atherigona orientalis and Ophyra aenescens was supported
by statistically significant differences in wing conformation and size. The evidence presented in this study
shows that the analysis of geometric variability in the wing morphology of species of forensic relevance
can contribute to simple and objective species identification. Geometric morphometrics is a simple and
readily available tool for forensic science.

Files

Muscidae_geometric_morphometrics final upload.pdf

Files (503.1 kB)

Name Size Download all
md5:8cfd10ecaee74e241fe4e4d6f2acf7c5
503.1 kB Preview Download