Literature DB >> 31173634

Review of Molecular Identification Techniques for Forensically Important Diptera.

M Denise Gemmellaro1, George C Hamilton1, Jessica L Ware1.   

Abstract

The medico-legal section of forensic entomology focuses on the analysis of insects associated with a corpse. Such insects are identified, and their life history characteristics are evaluated to provide information related to the corpse, such as postmortem interval and time of colonization. Forensically important insects are commonly identified using dichotomous keys, which rely on morphological characteristics. Morphological identifications can pose a challenge as local keys are not always available and can be difficult to use, especially when identifying juvenile stages. If a specimen is damaged, certain keys cannot be used for identification. In contrast, molecular identification can be a better instrument to identify forensically important insects, regardless of life stage or specimen completeness. Despite more than 20 yr since the first use of molecular data for the identification of forensic insects, there is little overlap in gene selection or phylogenetic methodology among studies, and this inconsistency reduces efficiency. Several methods such as genetic distance, reciprocal monophyly, or character-based methods have been implemented in forensic identification studies. It can be difficult to compare the results of studies that employ these different methods. Here we present a comprehensive review of the published results for the molecular identification of Diptera of forensic interest, with an emphasis on evaluating variation among studies in gene selection and phylogenetic methodology.
© The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  Calliphoridae; Sarcophagidae; barcoding; forensic entomology; forensically important diptera; molecular identification

Mesh:

Year:  2019        PMID: 31173634     DOI: 10.1093/jme/tjz040

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  2 in total

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Authors:  Sumit Jangra; Amalendu Ghosh
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

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Authors:  Darlin Apasrawirote; Pharinya Boonchai; Paisarn Muneesawang; Wannacha Nakhonkam; Nophawan Bunchu
Journal:  Sci Rep       Date:  2022-03-19       Impact factor: 4.379

  2 in total

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