Estimating Time Since Death from Postmortem Human Gut Microbial Communities

Postmortem succession of human‐associated microbial communities (“human microbiome”) has been suggested as a possible method for estimating postmortem interval (PMI) for forensic analyses. Here we evaluate human gut bacterial populations to determine quantifiable, time‐dependent changes postmortem. Gut microflora were repeatedly sampled from the proximal large intestine of 12 deceased human individuals as they decayed under environmental conditions. Three intestinal bacterial genera were quantified by quantitative PCR (qPCR) using group‐specific primers targeting 16S rRNA genes. Bacteroides and Lactobacillus relative abundances declined exponentially with increasing PMI at rates of Nt = 0.977e−0.0144t (r2 = 0.537, p < 0.001) and Nt = 0.019e−0.0087t (r2 = 0.396, p < 0.001), respectively, where Nt is relative abundance at time (t) in cumulative degree hours. Bifidobacterium relative abundances did not change significantly: Nt = 0.003e−0.002t (r2 = 0.033, p = 0.284). Therefore, Bacteroides and Lactobacillus abundances could be used as quantitative indicators of PMI.

[1]  R. Knight,et al.  Bacterial Community Variation in Human Body Habitats Across Space and Time , 2009, Science.

[2]  Angi M Christensen,et al.  The impact of Daubert: implications for testimony and research in forensic anthropology (and the use of frontal sinuses in personal identification). , 2004, Journal of forensic sciences.

[3]  Sibyl R. Bucheli,et al.  The Living Dead: Bacterial Community Structure of a Cadaver at the Onset and End of the Bloat Stage of Decomposition , 2013, PloS one.

[4]  J. Fujimoto,et al.  Development of 16S rRNA-Gene-Targeted Group-Specific Primers for the Detection and Identification of Predominant Bacteria in Human Feces , 2002, Applied and Environmental Microbiology.

[5]  W. D. de Vos,et al.  Intestinal Microbiota in Healthy Adults: Temporal Analysis Reveals Individual and Common Core and Relation to Intestinal Symptoms , 2011, PloS one.

[6]  J. Garcia-Mazcorro,et al.  Characterization of fecal microbiota in cats using universal 16S rRNA gene and group-specific primers for Lactobacillus and Bifidobacterium spp. , 2010, Veterinary microbiology.

[7]  David O. Carter,et al.  Seasonal Variation of Carcass Decomposition and Gravesoil Chemistry in a Cold (Dfa) Climate , 2013, Journal of forensic sciences.

[8]  Arpad A. Vass,et al.  Microbial Community Analysis of Human Decomposition on Soil , 2009 .

[9]  J. Caton,et al.  Decomposition chemistry of human remains: a new methodology for determining the postmortem interval. , 2002, Journal of forensic sciences.

[10]  W M Bass,et al.  Time since death determinations of human cadavers using soil solution. , 1992, Journal of forensic sciences.

[11]  Arpad A Vass,et al.  The elusive universal post-mortem interval formula. , 2011, Forensic science international.

[12]  David O. Carter,et al.  The biochemical alteration of soil beneath a decomposing carcass. , 2008, Forensic science international.

[13]  R. Disney,et al.  A mathematical model applied for assisting the estimation of PMI in a case of forensic importance. First record of Conicera similis (Diptera: Phoridae) in a corpse. , 2013, Forensic science international.

[14]  H. Tilg,et al.  Dietary Factors: Major Regulators of the Gut's Microbiota , 2012, Gut and liver.

[15]  J. Fujimoto,et al.  Quantitative PCR with 16S rRNA-Gene-Targeted Species-Specific Primers for Analysis of Human Intestinal Bifidobacteria , 2004, Applied and Environmental Microbiology.

[16]  David O. Carter,et al.  Potential carcass enrichment of the University of Tennessee Anthropology Research Facility: a baseline survey of edaphic features. , 2012, Forensic science international.

[17]  David O. Carter,et al.  Temperature affects microbial decomposition of cadavers (Rattus rattus) in contrasting soils , 2008 .

[18]  R. Knight,et al.  Evolution of Mammals and Their Gut Microbes , 2008, Science.

[19]  Jules A Kieser,et al.  Marine bacterial succession as a potential indicator of postmortem submersion interval. , 2011, Forensic science international.

[20]  A. Buchan,et al.  Development and Application of Quantitative-PCR Tools for Subgroups of the Roseobacter Clade , 2009, Applied and Environmental Microbiology.

[21]  K. Jashnani,et al.  Vitreous Humor: Biochemical Constituents in Estimation of Postmortem Interval *,† , 2010, Journal of forensic sciences.

[22]  Matthew J. Gebert,et al.  A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system , 2013, eLife.

[23]  U. Göbel,et al.  Comprehensive Postmortem Analyses of Intestinal Microbiota Changes and Bacterial Translocation in Human Flora Associated Mice , 2012, PLoS ONE.

[24]  David O. Carter,et al.  Using Ninhydrin to Detect Gravesoil * , 2008, Journal of forensic sciences.

[25]  A. M. Tarone,et al.  The potential use of bacterial community succession in forensics as described by high throughput metagenomic sequencing , 2013, International Journal of Legal Medicine.

[26]  Daniel E. Williams,et al.  Development of Bacteroides 16S rRNA Gene TaqMan-Based Real-Time PCR Assays for Estimation of Total, Human, and Bovine Fecal Pollution in Water , 2006, Applied and Environmental Microbiology.

[27]  M. Whittle,et al.  Comparison of southern Chinese Han and Brazilian Caucasian mutation rates at autosomal short tandem repeat loci used in human forensic genetics , 2013, International Journal of Legal Medicine.

[28]  H. Schwarcz,et al.  A New Method for Determination of Postmortem Interval: Citrate Content of Bone * , 2010, Journal of forensic sciences.

[29]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[30]  R. Knight,et al.  Worlds within worlds: evolution of the vertebrate gut microbiota , 2008, Nature Reviews Microbiology.

[31]  F. Patel Forensic entomology. , 1990, Forensic science international.