Rose Sarah, Johnson Hannah, Cartozzo Claire, Swall Jenise, Simmons Tal, Singh Baneshwar
Department of Forensic Science, Virginia Commonwealth University, Richmond, Virginia, USA.
Department of Statistical Sciences & Operations Research, Virginia Commonwealth University, Richmond, Virginia, USA.
J Forensic Sci. 2025 Jul;70(4):1261-1273. doi: 10.1111/1556-4029.70039. Epub 2025 May 6.
Postmortem interval (PMI) estimation contributes valuable information in the medicolegal investigation of decomposed human remains, and estimating the postmortem submersion interval (PMSI) can specifically aid investigations involving victims discovered in aquatic environments. Microbial succession-driven models in long-term decomposition studies have utilized the abundant colonizing bacterial community of skeletal remains to estimate the PMSI using bone powder. This study investigates the use of bone surface swabbing as an effective alternative method that minimizes time and resources required for bone sampling and also provides a highly replicable method for decomposition studies. Skeletal porcine (Sus scrofa) remains were caged and submerged in both lentic and lotic environments (Henley Lake in White Hall and James River at the Rice Rivers Center in Charles City, respectively) in Central Virginia from November 2017 to November 2018. Bone surface swabs and water samples were analyzed at 500 accumulated degree days (ADD) intervals, from baseline (0 ADD) to 4500 ADD. Variable region 4 (V4) of 16S rDNA was amplified and sequenced using the Illumina MiSeq Sequencing platform and analyzed using Mothur (v.1.39.5) and R (v.4.04). Analysis of Molecular Variance (AMOVA) indicated a significant difference in bacterial community structure among and between the swab, bone, and water samples (p < 0.001, F = 7.92331), and among and between lake and river samples (p < 0.001, F = 9.38829). PMSI models were constructed using random forest models for lake swabs (R = 0.83, RMSE = 623.24) and river swabs (R = 0.83, RMSE = 580.2). Swab samples from both aquatic environments predicted PMSI, albeit slightly less accurately than those previously reported from bone powder (lake: R = 0.96, 334.1; river: R = 0.94, 498.47).
死后间隔时间(PMI)的估计在法医学对腐烂人体遗骸的调查中提供了有价值的信息,而估计死后浸水间隔时间(PMSI)可以特别有助于涉及在水生环境中发现的受害者的调查。长期分解研究中基于微生物演替的模型利用骨骼遗骸丰富的定殖细菌群落,通过骨粉来估计PMSI。本研究调查了使用骨表面擦拭作为一种有效的替代方法,该方法可最大限度地减少骨采样所需的时间和资源,并且为分解研究提供了一种高度可重复的方法。2017年11月至2018年11月,将猪(Sus scrofa)骨骼遗骸置于笼中,分别浸没在弗吉尼亚州中部的静水和流水环境中(分别为白厅的亨利湖和查尔斯城赖斯河中心的詹姆斯河)。从基线(0累积度日)到4500累积度日,每隔500累积度日对骨表面拭子和水样进行分析。使用Illumina MiSeq测序平台对16S rDNA的可变区4(V4)进行扩增和测序,并使用Mothur(v.1.39.5)和R(v.4.04)进行分析。分子方差分析(AMOVA)表明,拭子、骨骼和水样之间以及湖泊和河流样本之间的细菌群落结构存在显著差异(p < 0.001,F = 7.92331),湖泊和河流样本之间也存在显著差异(p < 0.001,F = 9.38829)。使用随机森林模型构建了湖泊拭子(R = 0.83,均方根误差 = 623.24)和河流拭子(R = 0.83,均方根误差 = 580.2)的PMSI模型。来自两种水生环境的拭子样本都能预测PMSI,尽管准确性略低于先前报道的骨粉样本(湖泊:R = 0.96,334.1;河流:R = 0.94,498.47)。