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Microbial community succession on submerged vertebrate carcasses in a tidal river habitat: Implications for aquatic forensic investigations.
Wallace, John R; Receveur, Joseph Paul; Hutchinson, Phillip H; Kaszubinski, Sierra Frances; Wallace, Harrison E; Benbow, M Eric.
Afiliação
  • Wallace JR; Department of Biology, Millersville University, Millersville, USA.
  • Receveur JP; Department of Entomology, Michigan State University, East Lansing, USA.
  • Hutchinson PH; Ecology, Evolution and Behavior Program, Michigan State University, East Lansing, USA.
  • Kaszubinski SF; Department of Biology, Millersville University, Millersville, USA.
  • Wallace HE; Department of Integrative Biology, Michigan State University, East Lansing, USA.
  • Benbow ME; Department of Biology, Millersville University, Millersville, USA.
J Forensic Sci ; 66(6): 2307-2318, 2021 Nov.
Article em En | MEDLINE | ID: mdl-34462924
Death investigations in aquatic ecosystems are challenging due to abiotic and biotic factors that may influence the estimation of a postmortem submersion interval (PMSI). In this study, we examined bacterial changes throughout the decomposition process on porcine carcasses submerged in a tidal-influenced river and identified predictors of epinecrotic community succession. Fetal porcine (Sus scrofa) carcasses (N = 6) were submerged with epinecrotic samples collected every 3 days (6 collections) over a period of 19 days (~7415 accumulated degree hours (ADH)). Amplicon sequencing was performed using the Illumina MiSeq platform (16S V4 region, 2 × 250 bp format) to identify changes in bacterial relative abundance and diversity. To match bacterial succession with rough taphonomy, carcasses were visually assessed at each sampling time point to determine the decomposition stage. Notably, the three most abundant families were Moraxellaceae, Burkholderiaceae (Proteobacteria), and Clostridiaceae (Firmicutes), though communities composition varied significantly across decomposition stages. Greater bacterial phylogenetic diversity was observed in in latter decomposition stages (advanced floating decay, sunken remains). Random Forest Models were built to predict ADH and explained 77%-80.8% of variation in ADH with an error rate of +/-1943.2 ADH (Root Mean Square Error) or approx. ±2.7 days at the mean water temperature of this study. This study provided a useful model that could be used to estimate a PMSI in this river system utilizing bacterial community succession, and thus, potentially improve the accuracy of such estimations to be used in the court of law.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudanças Depois da Morte / Rios / Microbiota / Restos Mortais / Imersão Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: J Forensic Sci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudanças Depois da Morte / Rios / Microbiota / Restos Mortais / Imersão Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: J Forensic Sci Ano de publicação: 2021 Tipo de documento: Article