Literature DB >> 17685848

Application of DNA-based methods in forensic entomology.

Jeffrey D Wells1, Jamie R Stevens.   

Abstract

A forensic entomological investigation can benefit from a variety of widely practiced molecular genotyping methods. The most commonly used is DNA-based specimen identification. Other applications include the identification of insect gut contents and the characterization of the population genetic structure of a forensically important insect species. The proper application of these procedures demands that the analyst be technically expert. However, one must also be aware of the extensive list of standards and expectations that many legal systems have developed for forensic DNA analysis. We summarize the DNA techniques that are currently used in, or have been proposed for, forensic entomology and review established genetic analyses from other scientific fields that address questions similar to those in forensic entomology. We describe how accepted standards for forensic DNA practice and method validation are likely to apply to insect evidence used in a death or other forensic entomological investigation.

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Year:  2008        PMID: 17685848     DOI: 10.1146/annurev.ento.52.110405.091423

Source DB:  PubMed          Journal:  Annu Rev Entomol        ISSN: 0066-4170            Impact factor:   19.686


  24 in total

1.  Identification of forensically important sarcophagid flies (Diptera: Sarcophagidae) in China based on COI and period gene.

Authors:  Yadong Guo; Lagabaiyila Zha; Weitao Yan; Pei Li; Jifeng Cai; LiXiang Wu
Journal:  Int J Legal Med       Date:  2013-10-08       Impact factor: 2.686

2.  Identification of forensically important blowfly species (Diptera: Calliphoridae) by high-resolution melting PCR analysis.

Authors:  Tadeusz Malewski; Agnieszka Draber-Mońko; Jan Pomorski; Marta Łoś; Wiesław Bogdanowicz
Journal:  Int J Legal Med       Date:  2010-01-16       Impact factor: 2.686

3.  Molecular identification of carrion-breeding scuttle flies (Diptera: Phoridae) using COI barcodes.

Authors:  Petra Boehme; Jens Amendt; R Henry L Disney; Richard Zehner
Journal:  Int J Legal Med       Date:  2010-03-02       Impact factor: 2.686

4.  The use of COI barcodes for molecular identification of forensically important fly species in Germany.

Authors:  Petra Boehme; Jens Amendt; Richard Zehner
Journal:  Parasitol Res       Date:  2011-12-21       Impact factor: 2.289

5.  Application of DNA barcoding for identifying forensically relevant Diptera from northern Thailand.

Authors:  Barbara Karolina Zajac; Narin Sontigun; Anchalee Wannasan; Marcel A Verhoff; Kabkaew Sukontason; Jens Amendt; Richard Zehner
Journal:  Parasitol Res       Date:  2016-03-11       Impact factor: 2.289

Review 6.  Forensic entomology: applications and limitations.

Authors:  J Amendt; C S Richards; C P Campobasso; R Zehner; M J R Hall
Journal:  Forensic Sci Med Pathol       Date:  2011-01-07       Impact factor: 2.007

7.  Development of the new microsatellite markers of Lucilia sericata (Diptera: Calliphoridae) from Korea.

Authors:  Hyung-Eun An; Dinh Thinh Do; Duri Lee; Mustafa Zafer Karagozlu; Seong Hwan Park; Sang-Eon Shin; Chang-Bae Kim
Journal:  Mol Biol Rep       Date:  2021-10-18       Impact factor: 2.316

8.  Changes in the proteomes of the hemocytes and fat bodies of the flesh fly Sarcophaga bullata larvae after infection by Escherichia coli.

Authors:  Alice Masova; Miloslav Sanda; Jiri Jiracek; Irena Selicharova
Journal:  Proteome Sci       Date:  2010-01-13       Impact factor: 2.480

9.  Gene discovery using massively parallel pyrosequencing to develop ESTs for the flesh fly Sarcophaga crassipalpis.

Authors:  Daniel A Hahn; Gregory J Ragland; D DeWayne Shoemaker; David L Denlinger
Journal:  BMC Genomics       Date:  2009-05-19       Impact factor: 3.969

10.  Using the developmental gene bicoid to identify species of forensically important blowflies (Diptera: calliphoridae).

Authors:  Seong Hwan Park; Chung Hyun Park; Yong Zhang; Huguo Piao; Ukhee Chung; Seong Yoon Kim; Kwang Soo Ko; Cheong-Ho Yi; Tae-Ho Jo; Juck-Joon Hwang
Journal:  Biomed Res Int       Date:  2013-03-18       Impact factor: 3.411

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