Literature DB >> 28818754

Daily thanatomicrobiome changes in soil as an approach of postmortem interval estimation: An ecological perspective.

Joe Adserias-Garriga1, Marta Hernández2, Narciso M Quijada2, David Rodríguez Lázaro3, Dawnie Steadman4, Jesús Garcia-Gil5.   

Abstract

Understanding human decomposition is critical for its use in postmortem interval (PMI) estimation, having a significant impact on forensic investigations. In recognition of the need to establish the scientific basis for PMI estimation, several studies on decomposition have been carried out in the last years. The aims of the present study were: (i) to identify soil microbiota communities involved in human decomposition through high-throughput sequencing (HTS) of DNA sequences from the different bacteria, (ii) to monitor quantitatively and qualitatively the decay of such signature species, and (iii) to describe succesional changes in bacterial populations from the early putrefaction state until skeletonization. Three donated individuals to the University of Tennessee FAC were studied. Soil samples around the body were taken from the placement of the donor until advanced decay/dry remains stage. Bacterial DNA extracts were obtained from the samples, HTS techniques were applied and bioinformatic data analysis was performed. The three cadavers showed similar overall successional changes. At the beginning of the decomposition process the soil microbiome consisted of diverse indigenous soil bacterial communities. As decomposition advanced, Firmicutes community abundance increased in the soil during the bloat stage. The growth curve of Firmicutes from human remains can be used to estimate time since death during Tennessee summer conditions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Human decomposition; Postmortem interval estimation; Thanatomicrobiome

Mesh:

Substances:

Year:  2017        PMID: 28818754     DOI: 10.1016/j.forsciint.2017.07.017

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  8 in total

1.  Impact of the Human Microbiome in Forensic Sciences: a Systematic Review.

Authors:  Manuel G García; María D Pérez-Cárceles; Eduardo Osuna; Isabel Legaz
Journal:  Appl Environ Microbiol       Date:  2020-10-28       Impact factor: 4.792

Review 2.  Revolution in death sciences: body farms and taphonomics blooming. A review investigating the advantages, ethical and legal aspects in a Swiss context.

Authors:  Vincent Varlet; Charles Joye; Shari L Forbes; Silke Grabherr
Journal:  Int J Legal Med       Date:  2020-05-21       Impact factor: 2.686

3.  Cadaver Thanatomicrobiome Signatures: The Ubiquitous Nature of Clostridium Species in Human Decomposition.

Authors:  Gulnaz T Javan; Sheree J Finley; Tasia Smith; Joselyn Miller; Jeremy E Wilkinson
Journal:  Front Microbiol       Date:  2017-10-30       Impact factor: 5.640

Review 4.  Forensic Applications of Microbiomics: A Review.

Authors:  Jake M Robinson; Zohar Pasternak; Christopher E Mason; Eran Elhaik
Journal:  Front Microbiol       Date:  2021-01-13       Impact factor: 5.640

Review 5.  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

6.  Temporal dynamics of microbiota before and after host death.

Authors:  David Preiswerk; Jean-Claude Walser; Dieter Ebert
Journal:  ISME J       Date:  2018-06-04       Impact factor: 10.302

Review 7.  Thanatomicrobiome composition profiling as a tool for forensic investigation.

Authors:  Wei Zhou; Yingnan Bian
Journal:  Forensic Sci Res       Date:  2018-05-31

8.  Postmortem interval assessment by MALDI-TOF mass spectrometry analysis in murine cadavers.

Authors:  Federica Dell'Annunziata; Francesca Martora; Maria Elena Della Pepa; Veronica Folliero; Livio Luongo; Serena Bocelli; Francesca Guida; Pasquale Mascolo; Carlo Pietro Campobasso; Sabatino Maione; Gianluigi Franci; Marilena Galdiero
Journal:  J Appl Microbiol       Date:  2021-08-08       Impact factor: 4.059

  8 in total

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