DNA metabarcoding of forensic mycological samples

Egyptian Journal of Forensic Sciences

article

Giampaoli, Saverio¹  Frajese, Giovanni Vanni¹  Berti, Andrea²  De Vittori, Elisabetta³  Barni, Filippo²  Anselmo, Anna²  Rinaldi, Teresa⁴  Baldi, Marina⁵  Miranda, Kevin Charles⁶  Liao, Arnold⁶  Brami, Daniel⁶ 

[1] Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”;Carabinieri, Reparto Investigazioni Scientifiche di Roma;Central Laboratory of National DNA Database, Department of Penitentiary Administration, Ministry of Justice;Department of Biology and Biotechnology, Sapienza Università di Roma;Legal Genetics - Forensic Consulting;Inc.

关键词: NGS;    Fungi;    Data analysis;    Metabarcoding;    Forensic science;   

DOI  :  10.1186/s41935-021-00221-x

学科分类：心脏病和心血管学

来源: Springer

【 摘 要 】

DNA metabarcoding and massive parallel sequencing are valuable molecular tools for the characterization of environmental samples. In forensic sciences, the analysis of the sample’s fungal population can be highly informative for the estimation of post-mortem interval, the ascertainment of deposition time, the identification of the cause of death, or the location of buried corpses. Unfortunately, metabarcoding data analysis often requires strong bioinformatic capabilities that are not widely available in forensic laboratories. The present paper describes the adoption of a user-friendly cloud-based application for the identification of fungi in typical forensic samples. The samples have also been analyzed through the QIIME pipeline, obtaining a relevant data concordance on top genus classification results (88%). The availability of a user-friendly application that can be run without command line activities will increase the popularity of metabarcoding fungal analysis in forensic samples.

【 授权许可】

CC BY