Analysis of Microbial Communities: An Emerging Tool in Forensic Sciences.

body fluid determination criminalistic forensic sciences human identification microbial communities skin microbiota

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
21 Dec 2021
Historique:
received: 30 11 2021
revised: 19 12 2021
accepted: 20 12 2021
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

The objective of forensic sciences is to find clues in a crime scene in order to reconstruct the scenario. Classical samples include DNA or fingerprints, but both have inherent limitations and can be uninformative. Another type of sample has emerged recently in the form of the microbiome. Supported by the Human Microbiome Project, the characteristics of the microbial communities provide real potential in forensics. They are highly specific and can be used to differentiate and classify the originating body site of a human biological trace. Skin microbiota is also highly specific and different between individuals, leading to its possibility as an identification tool. By extension, the possibilities of the microbial communities to be deposited on everyday objects has also been explored. Other uses include the determination of the post-mortem interval or the analysis of soil communities. One challenge is that the microbiome changes over time and can be influenced by many environmental and lifestyle factors. This review offers an overview of the main methods and applications to demonstrate the benefit of the microbiome to provide forensically relevant information.

Identifiants

pubmed: 35054168
pii: diagnostics12010001
doi: 10.3390/diagnostics12010001
pmc: PMC8774847
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Audrey Gouello (A)

Institut de Recherche Criminelle de la Gendarmerie Nationale, 95037 Cergy-Pontoise, France.
Bacterial Infection and Chronic Infection, INSERM U1047, Department of Microbiology and Hospital Infection, University Hospital Nîmes, Université de Montpellier, 30908 Nimes, France.

Catherine Dunyach-Remy (C)

Bacterial Infection and Chronic Infection, INSERM U1047, Department of Microbiology and Hospital Infection, University Hospital Nîmes, Université de Montpellier, 30908 Nimes, France.

Christian Siatka (C)

Ecole de l'ADN, Université Nîmes, 30021 Nimes, France.

Jean-Philippe Lavigne (JP)

Bacterial Infection and Chronic Infection, INSERM U1047, Department of Microbiology and Hospital Infection, University Hospital Nîmes, Université de Montpellier, 30908 Nimes, France.

Classifications MeSH