Literature DB >> 28734268

DNA barcoding allows identification of European Fanniidae (Diptera) of forensic interest.

Andrzej Grzywacz1, Dominika Wyborska2, Marcin Piwczyński2.   

Abstract

In forensic entomology practice, species identification is a prerequisite for any further analysis of collected material. Although morphology-based taxonomy may be hindered by a range of factors, these are not obstacles for a molecular identification approach, so-called DNA barcoding. The Fanniidae are a dipteran family that is attracted to and breeds in decomposing animal carrion and dead human bodies. However, morphological identification of fanniids, both at adult and immature stages, is considered to be difficult, particularly for non-experts. We investigated the usefulness of molecular taxonomy methods as an alternative/supplement for morphology-based identification in European Fanniidae of forensic interest. The material used in this study was collected from various regions in Asia, Europe and North America. We sequenced a barcode region of the mitochondrial cytochrome c oxidase subunit I (COI) in 27 species. For 13 species, including some taxa breeding in dead bodies, this study describes COI sequences for the first time. Our analysis revealed that both mini-barcode and full-length COI barcode sequences give very high specimen identification success. Despite the large number of COI barcode sequences referring to Fanniidae in the BOLD and GenBank databases, previous identification of forensically relevant Fanniidae was hindered by uneven taxonomic sampling. The majority of available sequences refer to species that are not of medico-legal interest, and many species of forensic interest are unrepresented or represented only by a single sequence. Because of erroneous data that are present in depository databases, DNA barcoding must be used with caution and cannot be considered to be the sole alternative to other identification methods. Wolbachia infections in the examined material did not disrupt specimen identification. The obtained results will facilitate precise identification of European Fanniidae of forensic interest, badly preserved material with degraded DNA, as well as matching of unidentified females and immature stages to already described specimens.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA barcoding; Fanniidae; Forensic entomology; Mini-barcode; Wolbachia

Mesh:

Substances:

Year:  2017        PMID: 28734268     DOI: 10.1016/j.forsciint.2017.06.023

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  5 in total

1.  DNA Barcoding Identifies Unknown Females and Larvae of Fannia R.-D. (Diptera: Fanniidae) from Carrion Succession Experiment and Case Report.

Authors:  Andrzej Grzywacz; Mateusz Jarmusz; Kinga Walczak; Rafał Skowronek; Nikolas P Johnston; Krzysztof Szpila
Journal:  Insects       Date:  2021-04-23       Impact factor: 2.769

2.  Assessment of BOLD and GenBank - Their accuracy and reliability for the identification of biological materials.

Authors:  Kelly A Meiklejohn; Natalie Damaso; James M Robertson
Journal:  PLoS One       Date:  2019-06-19       Impact factor: 3.240

3.  Single Fragment or Bulk Soil DNA Metabarcoding: Which is Better for Characterizing Biological Taxa Found in Surface Soils for Sample Separation?

Authors:  Laura M Boggs; Melissa K R Scheible; Gustavo Machado; Kelly A Meiklejohn
Journal:  Genes (Basel)       Date:  2019-06-06       Impact factor: 4.096

4.  The Phylogenetic Relationships of the Fanniidae within the Muscoid Grade (Diptera: Calyptrata) Based on the Musculature of the Male Terminalia.

Authors:  Vera S Sorokina; Olga G Ovtshinnikova
Journal:  Insects       Date:  2022-02-18       Impact factor: 2.769

5.  DNA barcoding of Stearibia nigriceps (Meigen) and Piophila casei (Linnaeus) (Diptera: Piophilidae) from Algeria and the first African report of Stearibia nigriceps.

Authors:  Meriem Taleb; Ghania Tail; Halide Nihal Açıkgöz
Journal:  Int J Legal Med       Date:  2019-12-10       Impact factor: 2.686

  5 in total

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