Literature DB >> 33214010

Postmortem submersion interval (PMSI) estimation from the microbiome of Sus scrofa bone in a freshwater river.

Claire Cartozzo1, Tal Simmons2, Jenise Swall3, Baneshwar Singh2.   

Abstract

Due to inherent differences between terrestrial and aquatic systems, methods for estimating the postmortem interval (PMI) are not directly applicable to remains recovered from water. Recent studies have explored the use of microbial succession for estimating the postmortem submersion interval (PMSI); however, a non-disturbed, highly replicated and long-term aquatic decomposition study in a freshwater river has not been performed. In this study, porcine skeletal remains (N = 200) were submerged in a freshwater river from November 2017-2018 (6322 accumulated degree days (ADD)/353 days) to identify changes and successional patterns in bacterial communities. One cage (e.g., 5 ribs and 5 scapulae) was collected approximately every 250 ADD for twenty-four collections; baseline samples never exposed to water acted as controls. Variable region 4 (V4) of 16S rDNA, was amplified and sequenced via the Illumina MiSeq FGx sequencing platform. Resulting sequences were analyzed using mothur (v1.39.5) and R (v3.6.0). The abundances of bacterial communities differed significantly between sample types. These differences in relative abundance were attributed to Clostridia, Holophagae and Gammaproteobacteria. Phylogenetic diversity increased with ADD for each bone type; comparably, β-diversity bacterial community structure ordinated chronologically, which was explained with environmental parameters and inferred functional pathways. Models fit using rib samples provided a tighter prediction interval than scapulae, with a prediction of PMSI with root mean square error of within 472.31 (∼27 days) and 498.47 (∼29 days), respectively.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  16S rDNA; Carrion decomposition; Necrobiome

Mesh:

Substances:

Year:  2020        PMID: 33214010     DOI: 10.1016/j.forsciint.2020.110480

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


  4 in total

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Review 2.  Advances in artificial intelligence-based microbiome for PMI estimation.

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3.  Applications of massively parallel sequencing in forensic genetics.

Authors:  Thássia Mayra Telles Carratto; Vitor Matheus Soares Moraes; Tamara Soledad Frontanilla Recalde; Maria Luiza Guimarães de Oliveira; Celso Teixeira Mendes-Junior
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4.  A Pilot Study of Microbial Succession in Human Rib Skeletal Remains during Terrestrial Decomposition.

Authors:  Heather Deel; Alexandra L Emmons; Jennifer Kiely; Franklin E Damann; David O Carter; Aaron Lynne; Rob Knight; Zhenjiang Zech Xu; Sibyl Bucheli; Jessica L Metcalf
Journal:  mSphere       Date:  2021-07-14       Impact factor: 4.389

  4 in total

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