Literature DB >> 30594064

Metabarcoding to investigate changes in soil microbial communities within forensic burial contexts.

Noemi Procopio1, Stefano Ghignone2, Anna Williams3, Andrew Chamberlain4, Antonietta Mello5, Michael Buckley6.   

Abstract

The estimation of the time elapsed since death (post-mortem interval, or PMI) is one of the key themes that forensic scientists have to address frequently. However, the estimation of PMI still suffers from poor accuracy and biases especially when decomposition stages are prolonged, so further improvements in methods for PMI estimation are desirable. Soil microbial communities associated with decomposing bodies have been shown to be good candidates for the estimation of the PMI of exposed bodies. Nevertheless, further research is required to better understand the bacterial succession associated with decomposition of buried carcasses in order to test its reliability and applicability for the estimation of PMI and to better understand the dynamics involved with decomposition within this particular scenario. Therefore we explored the succession of soil microbial communities associated with four decomposing pig carcasses (from one to six months PMI) using a metabarcoding approach. The sequencing of the bacterial 16S rRNA variable region 4 (V4) revealed trends linking particular microbial taxa with specific PMIs, and notably an increase in Proteobacteria, Firmicutes and Bacteroidetes at specific PMIs as well as a decrease in Acidobacteria. Our results, in accordance with previous studies conducted on exposed bodies of different mammalian species (including humans), also showed a general reduction of the taxonomic richness from two months PMI onwards, as well as an incomplete re-establishment of the starting soil microbial conditions after six months PMI. We also found specific mammal-derived taxa, such as Bacteroides spp., being still present in the soil after six months PMI. As such, this study serves as a baseline for additional research to allow the characterisation of biomarkers associated with specific PMIs. Due to the similarity between the results presented here and those reported in other types of decomposition studies we believe that the metabarcoding approach has considerable potential in the estimation of the PMI, particularly to clarify cases involving heavily skeletonised bodies or for the investigation of clandestine graves in which the carcass has been moved from its original place of deposition.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16S rRNA; Decomposition; Metabarcoding; Post-mortem interval; Taphonomy

Mesh:

Substances:

Year:  2018        PMID: 30594064     DOI: 10.1016/j.fsigen.2018.12.002

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  6 in total

1.  The applicability of forensic time since death estimation methods for buried bodies in advanced decomposition stages.

Authors:  Stefan Pittner; Valentina Bugelli; M Eric Benbow; Bianca Ehrenfellner; Angela Zissler; Carlo P Campobasso; Roelof-Jan Oostra; Maurice C G Aalders; Richard Zehner; Lena Lutz; Fabio C Monticelli; Christian Staufer; Katharina Helm; Vilma Pinchi; Joseph P Receveur; Janine Geißenberger; Peter Steinbacher; Jens Amendt
Journal:  PLoS One       Date:  2020-12-09       Impact factor: 3.240

2.  The Effect of Different Coverings on Total Body Score Development of Buried Carcasses.

Authors:  Chee Hau Teo; Hiang Lian Hing; Noor Hazfalinda Hamzah; Sri Pawita Albakri Amir Hamzah
Journal:  Malays J Med Sci       Date:  2021-08-26

3.  Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry.

Authors:  Verena Maria Schmidt; Philipp Zelger; Claudia Wöss; Christian Wolfgang Huck; Rohit Arora; Etienne Bechtel; Andreas Stahl; Andrea Brunner; Bettina Zelger; Michael Schirmer; Walter Rabl; Johannes Dominikus Pallua
Journal:  Biology (Basel)       Date:  2022-07-06

Review 4.  Advances in artificial intelligence-based microbiome for PMI estimation.

Authors:  Ziwei Wang; Fuyuan Zhang; Linlin Wang; Huiya Yuan; Dawei Guan; Rui Zhao
Journal:  Front Microbiol       Date:  2022-10-04       Impact factor: 6.064

5.  Bone Diagenesis in Short Timescales: Insights from an Exploratory Proteomic Analysis.

Authors:  Noemi Procopio; Caley A Mein; Sefora Starace; Andrea Bonicelli; Anna Williams
Journal:  Biology (Basel)       Date:  2021-05-23

6.  Soil Fungal Communities Investigated by Metabarcoding Within Simulated Forensic Burial Contexts.

Authors:  Noemi Procopio; Stefano Ghignone; Samuele Voyron; Marco Chiapello; Anna Williams; Andrew Chamberlain; Antonietta Mello; Michael Buckley
Journal:  Front Microbiol       Date:  2020-07-24       Impact factor: 5.640

  6 in total

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