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DNA Barcoding in Forensic Entomology – Establishing a DNA Reference Library of Potentially Forensic Relevant Arthropod Species,
Authors:Caroline Chimeno M.Sc.  Jérôme Morinière M.Sc.  Jana Podhorna Ph.D.  Laura Hardulak M.Sc.  Axel Hausmann Ph.D.  Frank Reckel Ph.D.  Jan E. Grunwald Ph.D.  Randolph Penning M.D.  Gerhard Haszprunar Ph.D.
Affiliation:1. Zoologische Staatssammlung München (SNSB‐ZSM), Münchhausenstrasse 21, 81247 München, GermanyCorresponding author: Caroline Chimeno, M.Sc. E‐mail:;2. Zoologische Staatssammlung München (SNSB‐ZSM), Münchhausenstrasse 21, 81247 München, Germany;3. Mendel University in Brno (MEDELU), Zemedelska 1, Brno, 613 00 Czech Republic;4. Abteilung II, Bayerisches Landeskriminalamt, Maillingerstra?e 15, 80636 München, Germany;5. Institute of Legal Medicine, Ludwig‐Maximilians Universit?t, München, Germany
Abstract:Throughout the years, DNA barcoding has gained in importance in forensic entomology as it leads to fast and reliable species determination. High‐quality results, however, can only be achieved with a comprehensive DNA barcode reference database at hand. In collaboration with the Bavarian State Criminal Police Office, we have initiated at the Bavarian State Collection of Zoology the establishment of a reference library containing arthropods of potential forensic relevance to be used for DNA barcoding applications. CO1‐5P’ DNA barcode sequences of hundreds of arthropods were obtained via DNA extraction, PCR and Sanger Sequencing, leading to the establishment of a database containing 502 high‐quality sequences which provide coverage for 88 arthropod species. Furthermore, we demonstrate an application example of this library using it as a backbone to a high throughput sequencing analysis of arthropod bulk samples collected from human corpses, which enabled the identification of 31 different arthropod Barcode Index Numbers.
Keywords:forensic science  forensic entomology  DNA barcoding  high throughput sequencing  next generation sequencing  Cytochrome C Oxidase 1  DNA reference library  bulk sample analysis
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