Program in Cell & Molecular Biology, Colorado State University, Fort Collins, Colorado, USA.
Department of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.
mSphere. 2021 Aug 25;6(4):e0045521. doi: 10.1128/mSphere.00455-21. Epub 2021 Jul 14.
The bones of decomposing vertebrates are colonized by a succession of diverse microbial communities. If this succession is similar across individuals, microbes may provide clues about the postmortem interval (PMI) during forensic investigations in which human skeletal remains are discovered. Here, we characterize the human bone microbial decomposer community to determine whether microbial succession is a marker for PMI. Six human donor subjects were placed outdoors to decompose on the soil surface at the Southeast Texas Applied Forensic Science facility. To also assess the effect of seasons, three decedents were placed each in the spring and summer. Once ribs were exposed through natural decomposition, a rib was collected from each body for eight time points at 3 weeks apart. We discovered a core bone decomposer microbiome dominated by taxa in the phylum and evidence that these bone-invading microbes are likely sourced from the surrounding decomposition environment, including skin of the cadaver and soils. Additionally, we found significant overall differences in bone microbial community composition between seasons. Finally, we used the microbial community data to develop random forest models that predict PMI with an accuracy of approximately ±34 days over a 1- to 9-month time frame of decomposition. Typically, anthropologists provide PMI estimates based on qualitative information, giving PMI errors ranging from several months to years. Previous work has focused on only the characterization of the bone microbiome decomposer community, and this is the first known data-driven, quantitative PMI estimate of terrestrially decomposed human skeletal remains using microbial abundance information. Microbes are known to facilitate vertebrate decomposition, and they can do so in a repeatable, predictable manner. The succession of microbes in the skin and associated soil can be used to predict time since death during the first few weeks of decomposition. However, when remains are discovered after months or years, often the only evidence are skeletal remains. To determine if microbial succession in bone would be useful for estimating time since death after several months, human subjects were placed to decompose in the spring and summer seasons. Ribs were collected after 1 to 9 months of decomposition, and the bone microbial communities were characterized. Analysis revealed a core bone decomposer microbial community with some differences in microbial assembly occurring between seasons. These data provided time since death estimates of approximately ±34 days over 9 months. This may provide forensic investigators with a tool for estimating time since death of skeletal remains, for which there are few current methods.
在分解中的脊椎动物骨骼上,会被一系列不同的微生物群落所定植。如果这种演替在个体之间是相似的,那么微生物可能会为法医学调查中提供关于死后时间间隔(PMI)的线索,在这些调查中发现了人类骨骼遗骸。在这里,我们描述了人类骨骼微生物分解者群落,以确定微生物演替是否是 PMI 的标志物。六位人类供体被放置在东南德克萨斯应用法医学设施的土壤表面进行户外分解。为了评估季节的影响,每个季节都放置了三具尸体。一旦肋骨通过自然分解暴露出来,就从每个尸体上收集一根肋骨,每 3 周收集一次,共收集 8 次。我们发现了一个由门 纲的分类群主导的核心骨骼分解微生物组,并证明这些入侵骨骼的微生物很可能来自周围的分解环境,包括尸体的皮肤和土壤。此外,我们发现骨骼微生物群落组成在季节之间存在显著差异。最后,我们使用微生物群落数据开发了随机森林模型,这些模型可以在 1 到 9 个月的分解时间内,以大约±34 天的精度预测 PMI。通常,人类学家根据定性信息提供 PMI 估计,这导致 PMI 误差范围从几个月到几年不等。以前的工作仅集中于骨骼微生物分解群落的特征描述,这是第一个使用微生物丰度信息对陆地分解的人类骨骼遗骸进行数据驱动的、定量 PMI 估计的已知数据。微生物有助于脊椎动物的分解,而且可以以可重复和可预测的方式进行。在分解的最初几周内,皮肤和相关土壤中的微生物演替可以用于预测死亡时间。然而,当几个月或几年后发现遗骸时,通常只剩下骨骼遗骸。为了确定骨骼中的微生物演替在几个月后用于估计死亡时间是否有用,人类被放置在春季和夏季进行分解。在分解 1 到 9 个月后收集肋骨,并对骨骼微生物群落进行了特征描述。分析显示了一个核心的骨骼分解微生物群落,并且在季节之间存在一些微生物组合的差异。这些数据提供了 9 个月内大约±34 天的死亡时间估计值。这可能为法医调查人员提供一种估计骨骼遗骸死亡时间的工具,而目前很少有这种方法。