Comprehensive coverage of human last meal components revealed by a forensic DNA metabarcoding approach.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_3F1251F7E7F7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Comprehensive coverage of human last meal components revealed by a forensic DNA metabarcoding approach.
Journal
Scientific reports
Author(s)
Schneider J., Mas-Carrió E., Jan C., Miquel C., Taberlet P., Michaud K., Fumagalli L.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Publication state
Published
Issued date
23/04/2021
Peer-reviewed
Oui
Volume
11
Number
1
Pages
8876
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Stomach content analyses are a valuable tool in human forensic science to interpret perimortem events. While the identification of food components of plant and animal origin has traditionally been conducted by macro- and microscopical approaches in case of incomplete digestion, molecular methods provide the potential to increase sensitivity and taxonomic resolution. In particular, DNA metabarcoding (PCR-amplification and next generation sequencing of complex DNA mixtures) has seen a rapid growth in the field of wildlife ecology to assess species' diets from faecal and gastric samples. Despite clear advantages, molecular approaches have not yet been established in routine human forensics to investigate the last meal components of deceased persons. In this pilot study we applied for the first time a DNA metabarcoding approach to assess both plant and vertebrate components of 48 human stomach content samples taken during medicolegal autopsies. We obtained a final dataset with 34 vertebrate and 124 vegetal unique sequences, that were clustered to 9 and 33 operational taxonomic units (OTUs), respectively. Our results suggest that this approach can provide crucial information about circumstances preceding death, and open promising perspectives for biomedical dietary surveys based on digested food items found in the gastrointestinal tract.
Pubmed
Web of science
Open Access
Yes
Create date
12/04/2021 17:52
Last modification date
29/05/2021 6:31
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