Early post mortem interval estimation in a mouse model using molecular analyses of the gut thanatomicrobiome

Ángel Antonio Martínez Aragonés, Eduardo Martínez-Manzanares, Silvana Teresa Tapia-Paniagua
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Abstract

Introduction

Currently, the lack of reliable quantitative methods have led different research lines to find a model that predicts the post-mortem interval (PMI). The thanatomicrobiome, present from the moment of death, has been shown to change in predictable ways, allowing a correlation with PMI.

Materials and methods

In this study, the shifts of the thanatomicrobiome in the region of the posterior small intestine and the ascending colon in Mus musculus during the first 24 h of decomposition have been analysed experimentally. For this purpose, a molecular approach based on the analysis of the 16S ribosomal gene (16S rRNA) and a denaturing gradient gel electrophoresis (DGGE) was adopted, followed by analyses of the ecological diversity indices Alpha and beta diversity.

Results

The results based on the analysis of the ecological diversity indices reflected statistically significant changes before 12 h, and a decrease in diversity after 12 h post mortem, this being statistically significant in the two intestinal regions analysed. Moreover, the comparative study of microbial communities indicated distinct and structured changes from the moment of death, with shifts in the degree of similarity from the composition detected in life (PMI 0 h).

Discussion

These results agree with other studies demonstrating a decrease in microbial diversity. However, under the conditions of the study, this decrease does not begin until 12 h after death.

Conclusions

In conclusion, by examining the dynamics of bacterial diversity, our study has identified phases during decomposition that could help to improve microbial correlation models for PMI estimation.

使用肠道死亡微生物组分子分析的小鼠模型的早期死后间隔估计
目前,由于缺乏可靠的定量方法,不同的研究方向都在寻找一种预测死后间隔(PMI)的模型。从死亡那一刻起就存在的死亡微生物组已被证明以可预测的方式发生变化,从而与PMI相关。材料和方法本研究通过实验分析了小家鼠后小肠和升结肠区域在分解前24小时内的死亡微生物群的变化。为此,采用基于16S核糖体基因(16S rRNA)分析和变性梯度凝胶电泳(DGGE)的分子方法,分析生态多样性指数α和β多样性。结果对生态多样性指数的分析结果显示,死后12 h前的变化具有统计学意义,死后12 h后的多样性有所下降,这在分析的两个肠道区域均具有统计学意义。此外,微生物群落的比较研究表明,从死亡的那一刻起,微生物群落的结构就发生了明显的变化,与生命中检测到的组成的相似程度发生了变化(PMI 0 h)。这些结果与其他研究一致,表明微生物多样性在减少。然而,在研究条件下,这种下降直到死后12小时才开始。总之,通过研究细菌多样性的动态,我们的研究确定了分解过程中的阶段,有助于改进微生物相关模型,用于PMI估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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