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代谢条码技术在法医埋藏环境中研究土壤微生物群落变化。

Metabarcoding to investigate changes in soil microbial communities within forensic burial contexts.

机构信息

Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.

Istituto per la Protezione Sostenibile delle Piante, C.N.R., Viale P. A. Mattioli 25, 10125, Torino, Italy.

出版信息

Forensic Sci Int Genet. 2019 Mar;39:73-85. doi: 10.1016/j.fsigen.2018.12.002. Epub 2018 Dec 12.

Abstract

The estimation of the time elapsed since death (post-mortem interval, or PMI) is one of the key themes that forensic scientists have to address frequently. However, the estimation of PMI still suffers from poor accuracy and biases especially when decomposition stages are prolonged, so further improvements in methods for PMI estimation are desirable. Soil microbial communities associated with decomposing bodies have been shown to be good candidates for the estimation of the PMI of exposed bodies. Nevertheless, further research is required to better understand the bacterial succession associated with decomposition of buried carcasses in order to test its reliability and applicability for the estimation of PMI and to better understand the dynamics involved with decomposition within this particular scenario. Therefore we explored the succession of soil microbial communities associated with four decomposing pig carcasses (from one to six months PMI) using a metabarcoding approach. The sequencing of the bacterial 16S rRNA variable region 4 (V4) revealed trends linking particular microbial taxa with specific PMIs, and notably an increase in Proteobacteria, Firmicutes and Bacteroidetes at specific PMIs as well as a decrease in Acidobacteria. Our results, in accordance with previous studies conducted on exposed bodies of different mammalian species (including humans), also showed a general reduction of the taxonomic richness from two months PMI onwards, as well as an incomplete re-establishment of the starting soil microbial conditions after six months PMI. We also found specific mammal-derived taxa, such as Bacteroides spp., being still present in the soil after six months PMI. As such, this study serves as a baseline for additional research to allow the characterisation of biomarkers associated with specific PMIs. Due to the similarity between the results presented here and those reported in other types of decomposition studies we believe that the metabarcoding approach has considerable potential in the estimation of the PMI, particularly to clarify cases involving heavily skeletonised bodies or for the investigation of clandestine graves in which the carcass has been moved from its original place of deposition.

摘要

死亡时间推断(死后间隔时间,PMI)是法医科学家经常需要解决的关键主题之一。然而,PMI 的估计仍然存在准确性差和偏差的问题,尤其是在分解阶段延长的情况下,因此需要进一步改进 PMI 估计方法。与分解尸体相关的土壤微生物群落已被证明是估计暴露尸体 PMI 的良好候选者。然而,需要进一步的研究来更好地了解与埋葬尸体分解相关的细菌演替,以测试其对 PMI 估计的可靠性和适用性,并更好地了解在这种特殊情况下分解所涉及的动态。因此,我们使用宏条形码方法探索了与四具分解猪尸体(PMI 从一个月到六个月)相关的土壤微生物群落的演替。细菌 16S rRNA 可变区 4(V4)的测序揭示了将特定微生物分类群与特定 PMI 联系起来的趋势,特别是在特定 PMI 下,变形菌门、厚壁菌门和拟杆菌门的增加,以及酸杆菌门的减少。我们的结果与以前在不同哺乳动物物种(包括人类)的暴露尸体上进行的研究一致,也表明从两个月 PMI 开始,分类丰富度普遍降低,并且在六个月 PMI 后,起始土壤微生物条件尚未完全恢复。我们还发现了一些特定的哺乳动物衍生分类群,例如拟杆菌属,即使在六个月 PMI 后仍存在于土壤中。因此,这项研究为进一步的研究提供了一个基准,以允许对与特定 PMI 相关的生物标志物进行特征描述。由于这里提出的结果与其他类型的分解研究报告的结果相似,我们认为宏条形码方法在 PMI 估计方面具有很大的潜力,特别是在澄清涉及严重骨骼化尸体的案例或调查已从其原始位置移动的秘密坟墓时。

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